A comparison of the Dell AI portfolio vs. similar offerings from HPE
Conclusion
Harnessing the power of AI to streamline and improve business operations can be a challenging task, with significant business implications. With technology advancing more rapidly than ever, partnering with the right vendor for AI is key. By choosing a company like Dell that not only offers a comprehensive AI portfolio, but can also provide planning, preparation, implementation and management services, customers can face these challenges head on. MLPerf® Benchmark testing shows that offerings in the Dell AI portfolio offer consistent, strong performance for AI workloads. With high-performing and flexible server options, along with multiple storage choices, validated solutions, and professional services specifically tailored for AI, Dell can help businesses embrace AI and its benefits.
Meeting the challenges of AI workloads with the Dell AI portfolio - SummaryPrincipled Technologies
A comparison of the Dell AI portfolio vs. similar offerings from HPE
In brief: Additional contributors to AI success
AI models require more than high performance servers for success. You must also consider storage for unstructured data and professional services to plan, prepare, deploy, and manage your AI solution. The Dell portfolio offers storage for AI datasets with the PowerScale series for file storage and Elastic Cloud Storage or ObjectScale storage for object storage.
Organizations can reap the advantages of Dell’s professional and consulting services for AI, which offers some services that HPE does not, such as data preparation. The Dell portfolio also includes Validated Designs for AI, which takes the guesswork out of designing and deploying AI.
A comparison of the Dell AI portfolio vs. similar offerings from Supermicro
Conclusion
When it comes to designing, implementing, managing, and maintaining AI solutions in your business, there are many factors to consider. To help you invest wisely and get the most out of your AI solution, you may wish to look for a vendor that can be more than a hardware supplier. Our research indicates that Dell offers services that can help you as a partner throughout the entire journey, so consider investing with Dell as you dive into AI.
A comparison of the Dell AI portfolio vs. similar offerings from Supermicro
Conclusion
When it comes to designing, implementing, managing, and maintaining AI solutions in your business, there are many factors to consider. To help you invest wisely and get the most out of your AI solution, you may wish to look for a vendor that can be more than a hardware supplier. Our research indicates that Dell offers services that can help you as a partner throughout the entire journey, so consider investing with Dell as you dive into AI.
Sql server 2012_and_intel_e7_processor_more_capability_and_higher_value_for_m...Dr. Wilfred Lin (Ph.D.)
This document discusses how Microsoft SQL Server 2012 and Intel Xeon E7 series processors provide a powerful platform for mission-critical databases. Key capabilities include built-in support for enterprise analytics, big data integration, and hybrid cloud extensibility. When combined, SQL Server 2012 and Intel Xeon E7 processors deliver high performance, scalability, reliability and integrated analytics capabilities for transactional databases and data warehouses.
Investing in GenAI: Cost‑benefit analysis of Dell on‑premises deployments vs....Principled Technologies
Conclusion
Diving into the world of GenAI has the potential to yield a great many benefits for your organization, but it first requires consideration for how best to implement those GenAI workloads. Whether your AI goals are to create a chatbot for online visitors, generate marketing materials, aid troubleshooting, or something else, implementing an AI solution requires careful planning and decision-making. A major decision is whether to host GenAI in the cloud or keep your data on premises. Traditional on-premises solutions can provide superior security and control, a substantial concern when dealing with large amounts of potentially sensitive data. But will supporting a GenAI solution on site be a drain on an organization’s IT budget?
In our research, we found that the value proposition is just the opposite: Hosting GenAI workloads on premises, either in a traditional Dell solution or using a managed Dell APEX pay-per-use solution, could significantly lower your GenAI costs over 3 years compared to hosting these workloads in the cloud. In fact, we found that a comparable AWS SageMaker solution would cost up to 3.8 times as much and an Azure ML solution would cost up to 3.6 times as much as GenAI on a Dell APEX pay-per-use solution. These results show that organizations looking to implement GenAI and reap the business benefits to come can find many advantages in an on-premises Dell solution, whether they opt to purchase and manage it themselves or choose a subscription-based Dell APEX pay-per-use solution. Choosing an on-premises Dell solution could save your organization significantly over hosting GenAI in the cloud, while giving you control over the security and privacy of your data as well as any updates and changes to the environment, and while ensuring your environment is managed consistently.
Dell EMC Ready Solutions for Big Data are powered by the BlueData EPIC software platform - for on-demand provisioning and automation. These integrated solutions enable a cloud-like experience for Big-Data-as-a-Service (BDaaS) while ensuring the enterprise-grade security and performance of on-premises infrastructure.
With Dell EMC Ready Solutions for Big Data, customers can rapidly deploy their analytics and machine learning workloads in a secure multi-tenant architecture, for multiple different user groups running on shared infrastructure. Their users can quickly and easily provision distributed environments for Cloudera, Hortonworks, Kafka, MapR, Spark, TensorFlow, as well as other tools.
The new Ready Solutions include everything that customers need to enable BDaaS on-premises – including BlueData EPIC software as well as Dell EMC hardware, consulting, deployment, and support services.
To learn more, visit www.dellemc.com/bdaas
This document provides a comprehensive analysis comparing the data modeling capabilities of Sybase PowerDesigner 16.0 InformationArchitect and CA ERwin Data Modeler r8.1 Standard Edition. It examines how each tool supports key data modeling activities like creating different types of data models (conceptual, logical, physical), impact analysis across model levels, and model integration. The analysis finds that while both tools allow creating different model types and linking models, PowerDesigner provides more robust, integrated support through dedicated model types and built-in impact/lineage analysis. It concludes PowerDesigner better enables managing relationships across complex data modeling projects.
Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powe...Principled Technologies
The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a generative AI workload effectively
Conclusion
The appeal of incorporating GenAI into your organization’s operations is likely great. Getting started with an efficient solution for your next LLM workload or application can seem daunting because of the changing hardware and software landscape, but Dell APEX Cloud Platform for Red Hat OpenShift powered by 4th Gen Intel Xeon Scalable processors could provide the solution you need. We started with a Dell Validated Design as a reference, and then went on to modify the deployment as necessary for our Llama 2 workload. The Dell APEX Cloud Platform for Red Hat OpenShift solution worked well for our LLM, and by using this deployment guide in conjunction with numerous Dell documents and some flexibility, you could be well on your way to innovating your next GenAI breakthrough.
Meeting the challenges of AI workloads with the Dell AI portfolio - SummaryPrincipled Technologies
A comparison of the Dell AI portfolio vs. similar offerings from HPE
In brief: Additional contributors to AI success
AI models require more than high performance servers for success. You must also consider storage for unstructured data and professional services to plan, prepare, deploy, and manage your AI solution. The Dell portfolio offers storage for AI datasets with the PowerScale series for file storage and Elastic Cloud Storage or ObjectScale storage for object storage.
Organizations can reap the advantages of Dell’s professional and consulting services for AI, which offers some services that HPE does not, such as data preparation. The Dell portfolio also includes Validated Designs for AI, which takes the guesswork out of designing and deploying AI.
A comparison of the Dell AI portfolio vs. similar offerings from Supermicro
Conclusion
When it comes to designing, implementing, managing, and maintaining AI solutions in your business, there are many factors to consider. To help you invest wisely and get the most out of your AI solution, you may wish to look for a vendor that can be more than a hardware supplier. Our research indicates that Dell offers services that can help you as a partner throughout the entire journey, so consider investing with Dell as you dive into AI.
A comparison of the Dell AI portfolio vs. similar offerings from Supermicro
Conclusion
When it comes to designing, implementing, managing, and maintaining AI solutions in your business, there are many factors to consider. To help you invest wisely and get the most out of your AI solution, you may wish to look for a vendor that can be more than a hardware supplier. Our research indicates that Dell offers services that can help you as a partner throughout the entire journey, so consider investing with Dell as you dive into AI.
Sql server 2012_and_intel_e7_processor_more_capability_and_higher_value_for_m...Dr. Wilfred Lin (Ph.D.)
This document discusses how Microsoft SQL Server 2012 and Intel Xeon E7 series processors provide a powerful platform for mission-critical databases. Key capabilities include built-in support for enterprise analytics, big data integration, and hybrid cloud extensibility. When combined, SQL Server 2012 and Intel Xeon E7 processors deliver high performance, scalability, reliability and integrated analytics capabilities for transactional databases and data warehouses.
Investing in GenAI: Cost‑benefit analysis of Dell on‑premises deployments vs....Principled Technologies
Conclusion
Diving into the world of GenAI has the potential to yield a great many benefits for your organization, but it first requires consideration for how best to implement those GenAI workloads. Whether your AI goals are to create a chatbot for online visitors, generate marketing materials, aid troubleshooting, or something else, implementing an AI solution requires careful planning and decision-making. A major decision is whether to host GenAI in the cloud or keep your data on premises. Traditional on-premises solutions can provide superior security and control, a substantial concern when dealing with large amounts of potentially sensitive data. But will supporting a GenAI solution on site be a drain on an organization’s IT budget?
In our research, we found that the value proposition is just the opposite: Hosting GenAI workloads on premises, either in a traditional Dell solution or using a managed Dell APEX pay-per-use solution, could significantly lower your GenAI costs over 3 years compared to hosting these workloads in the cloud. In fact, we found that a comparable AWS SageMaker solution would cost up to 3.8 times as much and an Azure ML solution would cost up to 3.6 times as much as GenAI on a Dell APEX pay-per-use solution. These results show that organizations looking to implement GenAI and reap the business benefits to come can find many advantages in an on-premises Dell solution, whether they opt to purchase and manage it themselves or choose a subscription-based Dell APEX pay-per-use solution. Choosing an on-premises Dell solution could save your organization significantly over hosting GenAI in the cloud, while giving you control over the security and privacy of your data as well as any updates and changes to the environment, and while ensuring your environment is managed consistently.
Dell EMC Ready Solutions for Big Data are powered by the BlueData EPIC software platform - for on-demand provisioning and automation. These integrated solutions enable a cloud-like experience for Big-Data-as-a-Service (BDaaS) while ensuring the enterprise-grade security and performance of on-premises infrastructure.
With Dell EMC Ready Solutions for Big Data, customers can rapidly deploy their analytics and machine learning workloads in a secure multi-tenant architecture, for multiple different user groups running on shared infrastructure. Their users can quickly and easily provision distributed environments for Cloudera, Hortonworks, Kafka, MapR, Spark, TensorFlow, as well as other tools.
The new Ready Solutions include everything that customers need to enable BDaaS on-premises – including BlueData EPIC software as well as Dell EMC hardware, consulting, deployment, and support services.
To learn more, visit www.dellemc.com/bdaas
This document provides a comprehensive analysis comparing the data modeling capabilities of Sybase PowerDesigner 16.0 InformationArchitect and CA ERwin Data Modeler r8.1 Standard Edition. It examines how each tool supports key data modeling activities like creating different types of data models (conceptual, logical, physical), impact analysis across model levels, and model integration. The analysis finds that while both tools allow creating different model types and linking models, PowerDesigner provides more robust, integrated support through dedicated model types and built-in impact/lineage analysis. It concludes PowerDesigner better enables managing relationships across complex data modeling projects.
Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powe...Principled Technologies
The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a generative AI workload effectively
Conclusion
The appeal of incorporating GenAI into your organization’s operations is likely great. Getting started with an efficient solution for your next LLM workload or application can seem daunting because of the changing hardware and software landscape, but Dell APEX Cloud Platform for Red Hat OpenShift powered by 4th Gen Intel Xeon Scalable processors could provide the solution you need. We started with a Dell Validated Design as a reference, and then went on to modify the deployment as necessary for our Llama 2 workload. The Dell APEX Cloud Platform for Red Hat OpenShift solution worked well for our LLM, and by using this deployment guide in conjunction with numerous Dell documents and some flexibility, you could be well on your way to innovating your next GenAI breakthrough.
Customer relationship management performance: Microsoft Dynamics on the Dell ...Principled Technologies
In today’s competitive marketplace, cultivating your relationships with current and future customers can be an important differentiating factor for your business. The CRM solution that your company uses gives your sales, marketing, and customer service groups a way to keep track of and to coordinate all their efforts to this end.
For such a critical component of your business intelligence plan, you want to select the appropriate hardware platform. In our testing, the Dell PowerEdge FX2 converged architecture was able to support Microsoft Dynamics performance with balanced resource utilization while using only 2U of rack space, making it a strong choice for your company’s CRM needs.
IBM Power Systems servers—the smart choice for JD Edwards EnterpriseOne
deployments
Delivering new services faster via joint
IBM and Oracle testing, planning, and
support
Offering secure, reliable performance
with on-demand expansion, ideal
for today’s dynamic JD Edwards
EnterpriseOne environments
Leveraging industry-leading PowerVM
virtualization to economically
consolidate workloads
Boosting performance with POWER7+
processors
Delivering outstanding availability and
higher quality compute services with
PowerHA and AIX
Performance advantages of Hadoop ETL offload with the Intel processor-powered...Principled Technologies
High-level Hadoop analysis requires custom solutions to deliver the data that you need, and the faster these jobs run the better. What if ETL jobs created by an entry-level employee after only a few days of training could run even faster than the same jobs created by a Hadoop expert with 18 years of database experience?
This is exactly what we found in our testing with the Dell | Cloudera | Syncsort solution. Not only was this solution was faster, easier, and less expensive to implement, but the ETL use cases our beginner created with this solution ran up to 60.3 percent more quickly than those our expert created with open-source tools.
Using the Dell | Cloudera | Syncsort solution means that your organization can compensate a lower-level employee for half as much time as a senior engineer doing less-optimized work. That is a clear path to savings.
Organizations are facing increasing demands to process data and run mixed workloads across on-premise, cloud, and edge environments. Dell PowerEdge servers provide scalable platforms to optimize infrastructure and support these diverse workloads. PowerEdge servers enable workloads to run efficiently on-premise or in hybrid cloud environments, and provide high performance, security, flexibility and remote management. This allows IT organizations to seamlessly scale infrastructure as needs change.
The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.
These are the following tool to build a data model for an applicatio.pdfgulshan16175gs
These are the following tool to build a data model for an application :
PowerDesigner
PowerDesigner is arguably the industry’s leading data modelling tool. Its features include: fully
integrated models, different modelling techniques that cater to both an IT-centric audience and
non IT-centric. It also supports a powerful metadata repository and various output formats. It has
a nice and polished user interface with easily readable help documentation aiding the user to
quickly solve ad hoc problems.
ER/Studio
ER/Studio is an intuitive data modelling tool that supports single and multi-platform
environments, with native integration for big data platforms such as – MongoDB and Hadoop
Hive. It can forward and reverse engineer models, includes a compare and merge function and is
able to create reports in various formats (XML, PNG, JPEG). Built-in features automate routine
tasks and supports the popular database platforms. ER/Studio is a great tool that that is easy to
start working with due to its intuitive design and good user support.
Sparx Enterprise Architect
Enterprise Architect is a feature rich data modelling tool that prides itself on being the cost-
efficient option. It helps business users build robust and maintainable systems quickly and can
easily scale to accommodate large teams collaborating on shared projects. Enterprise Architect
also has the capability of running a dynamic model simulations to verify the correctness of
models and provide better understanding of how specific business systems operate.
Oracle SQL Developer Data Modeler
Oracle data modeller is a free graphical tool to help business users with data modelling tasks.
This tool is robust, offering features and utilities centred around productivity. This includes
easily accessible report tool, DDL preview capabilities, built in quality check tool and a
sophisticated search engine.
CA ERwin
ERwin is one of the leading data modelling solutions that provides a simple, polished user
interface for a complex data environment. This solution provides business agility – models and
metadata can be managed in a common repository to ensure consistency and security. ERwin
supports high customisation and automation allowing macro language, custom datatypes, APIs
and much more. It also has an extensive user community enabling consumers to share knowledge
and expertise.
IBM - InfoSphere Data Architect
InfoSphere is an innovative data modelling tool that runs on an open-source platform – Eclipse.
Infopshere focuses on three key areas: efficiency, simplicity and integration. This tools helps
business users create logical and physical data model diagrams which can be used for a variety of
applications and systems. This end-to-end solution can be used to create, deploy and update data
models in a quick and efficient manner. It also provides easy integration with other related IBM
products.
Solution
These are the following tool to build a data model for an application :
PowerDesigner
PowerDesi.
Pallavi Gokhale Mishra has over 16 years of experience in data migration, data warehousing, project management, and software development. She currently works as a Solution Architect for IBM India on a project involving data migration from Oracle CRM to Siebel CRM for Vodafone India. Her experience includes managing teams and leading complex data migration projects involving Siebel, SAP, and other applications for clients in telecom, automotive, banking, and other industries. She has strong skills in ETL tools like IBM Datastage, databases like Oracle, and programming languages like SQL.
This document discusses artificial intelligence and machine learning. It explains that deep learning is a key area of focus. It also outlines some fundamental components of an AI system including inputs, an inference engine, and outputs. Additionally, it discusses Google Cloud Platform's key AI components like TensorFlow, APIs for speech, video, vision, and translation. Finally, it provides examples of enterprise applications of AI in various industries.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Looking to make your document processing operations more effective and cost-efficient with AI/ML? Learn from the experts of Provectus and Amazon Web Services (AWS) how to choose the right solution for your company! We will look into the management and engineering perspectives of AI document processing, from industry use cases and the solution map to our unique methodology for assessing available document processing solutions to Provectus IDP. Whether you are looking for a ready-made solution or you plan to build a custom solution of your own, this webinar will help you find the best option for your business.
Agenda
- Introductions
- Industry use cases
- Intelligent Document Processing (IDP) overview
- IDP Solutions map
- AWS IDP Solution
- Provectus IDP Platform
- Q&A
Intended Audience
Technology executives and decision makers, including such roles as CIO, CCO, COO, and CDO; digital transformation managers; data and ML engineers.
Presenters
Almir Davletov, IDP Subject Matter Expert, Provectus
Yaroslav Tarasyuk, Business Development, Provectus
Sonali Sahu, Sr. Solutions Architect, AWS
Interested? Learn more about Provectus Intelligent Document Processing Solution: https://provectus.com/document-processing-solution/
Suman Saha has over 12 years of experience as a senior data architect specializing in building data warehouses and ETL solutions. Some of Saha's projects include designing the integrated data warehouse at T-Mobile on a big data platform, creating data architecture guidelines at T-Mobile, and architecting various data marts and reporting solutions for Toyota Financial Services using tools like Informatica, Oracle, and OBIEE. Saha has extensive experience in data modeling, ETL development, and data integration across various industries.
Demanding modern business environments require accurate infrastructure planning and deployment to support growth. Virtualization and VDI extract the most value from servers and storage by driving insights and workforce productivity. Dell EMC PowerEdge 4-socket servers and newly introduced PowerStore storage deliver boosted business and worker productivity through unique capabilities.
Decision Optimization - CPLEX Optimization Studio - Product Overview(2).PPTXSanjayKPrasad2
This document provides an overview of IBM's prescriptive analytics software IBM ILOG CPLEX Optimization Studio (COS). It discusses how prescriptive analytics fits within the analytics portfolio including descriptive, predictive, and prescriptive analytics. It then describes COS's target audiences, key features like optimization engines and modeling tools, example applications that have achieved significant cost savings, and how optimization models are created and deployed.
Prodev provides software solutions and consulting services to meet business needs. This includes office automation, engineering change management, database applications, and web development. Prodev aims to understand client requirements and implement efficient solutions that provide measurable return on investment and free up resources for primary job functions.
The document summarizes the performance and capabilities of Dell EMC's SC Series hybrid flash arrays. It claims the SC Series offers up to 3X more bandwidth, 2X greater capacity, and up to 45% more IOPS compared to previous generations. It also highlights the SC Series' self-optimizing architecture, low storage costs, flexibility to adapt to changing demands, and status as the #1 storage vendor and all-flash leader according to IDC.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
Mohammad Amjad Khan has over 11 years of experience working as an ETL Developer and BI Analyst. He has extensive experience extracting, transforming, and loading data from various sources like SAP, legacy systems, and file systems into data warehouses using tools like Informatica and Cognos Data Manager. He also has experience writing queries, creating reports and dashboards using Cognos and Business Objects. Some of the key projects he has worked on include data migration projects for Amazon, Vodafone, Friends Life, and KPMG.
Enterprise adoption of AI/ML services has significantly accelerated in the last few years. However, the majority of ML models are still developed with the goal of solving a single task, e.g., prediction, classification. In this context, Compositional AI envisions seamless composition of existing AI/ML services, to provide a new (composite) AI/ML service, capable of addressing complex multi-domain use-cases. In this work, we consider two MLOps aspects that need to be enabled to realize Composable AI scenarios: (i) integration of DataOps and MLOps, and (ii) extension of the integrated DataOps-MLOps pipeline such that inferences made by a deployed ML model can be provided as training dataset for a new model. In an enterprise AI/ML environment, this enables reuse, agility, and efficiency in development and maintenance efforts.
Help skilled workers succeed with Dell Latitude 7030 and 7230 Rugged Extreme ...Principled Technologies
Instead of equipping consumer-grade tablets with rugged cases
Conclusion
In our hands-on testing, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets showed that they are better equipped to help skilled workers than consumer-grade Apple iPad Pro and Samsung Galaxy Tab S9 tablets in multiple ways. They provide more built-in capabilities and features than the consumer-grade tablets we tested. And, while they were more expensive than the rugged-case fortified consumer-grade options we tested, their rugged claims were more than skin deep.
In our performance and durability tests, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets performed better in demanding manufacturing, logistics, and field service environments than consumer-grade tablets with rugged cases. Both Rugged Extreme Tablets, with their greater thermal range, suffered less performance degradation in extreme temperatures, never failed and were merely scuffed after 26 hard drops, survived a 10 minute drenching with no ill effects, and were easier to view in direct sunlight than Apple iPad Pro and Samsung Galaxy Tab S9 tablets.
Bring ideas to life with the HP Z2 G9 Tower Workstation - InfographicPrincipled Technologies
We compared CPU performance and noise output of an HP Z2 G9 Tower Workstation in High Performance Mode to a similarly configured Dell Precision 3660 Tower Workstation in its out-of-box performance mode
Weitere ähnliche Inhalte
Ähnlich wie Meeting the challenges of AI workloads with the Dell AI portfolio
Customer relationship management performance: Microsoft Dynamics on the Dell ...Principled Technologies
In today’s competitive marketplace, cultivating your relationships with current and future customers can be an important differentiating factor for your business. The CRM solution that your company uses gives your sales, marketing, and customer service groups a way to keep track of and to coordinate all their efforts to this end.
For such a critical component of your business intelligence plan, you want to select the appropriate hardware platform. In our testing, the Dell PowerEdge FX2 converged architecture was able to support Microsoft Dynamics performance with balanced resource utilization while using only 2U of rack space, making it a strong choice for your company’s CRM needs.
IBM Power Systems servers—the smart choice for JD Edwards EnterpriseOne
deployments
Delivering new services faster via joint
IBM and Oracle testing, planning, and
support
Offering secure, reliable performance
with on-demand expansion, ideal
for today’s dynamic JD Edwards
EnterpriseOne environments
Leveraging industry-leading PowerVM
virtualization to economically
consolidate workloads
Boosting performance with POWER7+
processors
Delivering outstanding availability and
higher quality compute services with
PowerHA and AIX
Performance advantages of Hadoop ETL offload with the Intel processor-powered...Principled Technologies
High-level Hadoop analysis requires custom solutions to deliver the data that you need, and the faster these jobs run the better. What if ETL jobs created by an entry-level employee after only a few days of training could run even faster than the same jobs created by a Hadoop expert with 18 years of database experience?
This is exactly what we found in our testing with the Dell | Cloudera | Syncsort solution. Not only was this solution was faster, easier, and less expensive to implement, but the ETL use cases our beginner created with this solution ran up to 60.3 percent more quickly than those our expert created with open-source tools.
Using the Dell | Cloudera | Syncsort solution means that your organization can compensate a lower-level employee for half as much time as a senior engineer doing less-optimized work. That is a clear path to savings.
Organizations are facing increasing demands to process data and run mixed workloads across on-premise, cloud, and edge environments. Dell PowerEdge servers provide scalable platforms to optimize infrastructure and support these diverse workloads. PowerEdge servers enable workloads to run efficiently on-premise or in hybrid cloud environments, and provide high performance, security, flexibility and remote management. This allows IT organizations to seamlessly scale infrastructure as needs change.
The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.
These are the following tool to build a data model for an applicatio.pdfgulshan16175gs
These are the following tool to build a data model for an application :
PowerDesigner
PowerDesigner is arguably the industry’s leading data modelling tool. Its features include: fully
integrated models, different modelling techniques that cater to both an IT-centric audience and
non IT-centric. It also supports a powerful metadata repository and various output formats. It has
a nice and polished user interface with easily readable help documentation aiding the user to
quickly solve ad hoc problems.
ER/Studio
ER/Studio is an intuitive data modelling tool that supports single and multi-platform
environments, with native integration for big data platforms such as – MongoDB and Hadoop
Hive. It can forward and reverse engineer models, includes a compare and merge function and is
able to create reports in various formats (XML, PNG, JPEG). Built-in features automate routine
tasks and supports the popular database platforms. ER/Studio is a great tool that that is easy to
start working with due to its intuitive design and good user support.
Sparx Enterprise Architect
Enterprise Architect is a feature rich data modelling tool that prides itself on being the cost-
efficient option. It helps business users build robust and maintainable systems quickly and can
easily scale to accommodate large teams collaborating on shared projects. Enterprise Architect
also has the capability of running a dynamic model simulations to verify the correctness of
models and provide better understanding of how specific business systems operate.
Oracle SQL Developer Data Modeler
Oracle data modeller is a free graphical tool to help business users with data modelling tasks.
This tool is robust, offering features and utilities centred around productivity. This includes
easily accessible report tool, DDL preview capabilities, built in quality check tool and a
sophisticated search engine.
CA ERwin
ERwin is one of the leading data modelling solutions that provides a simple, polished user
interface for a complex data environment. This solution provides business agility – models and
metadata can be managed in a common repository to ensure consistency and security. ERwin
supports high customisation and automation allowing macro language, custom datatypes, APIs
and much more. It also has an extensive user community enabling consumers to share knowledge
and expertise.
IBM - InfoSphere Data Architect
InfoSphere is an innovative data modelling tool that runs on an open-source platform – Eclipse.
Infopshere focuses on three key areas: efficiency, simplicity and integration. This tools helps
business users create logical and physical data model diagrams which can be used for a variety of
applications and systems. This end-to-end solution can be used to create, deploy and update data
models in a quick and efficient manner. It also provides easy integration with other related IBM
products.
Solution
These are the following tool to build a data model for an application :
PowerDesigner
PowerDesi.
Pallavi Gokhale Mishra has over 16 years of experience in data migration, data warehousing, project management, and software development. She currently works as a Solution Architect for IBM India on a project involving data migration from Oracle CRM to Siebel CRM for Vodafone India. Her experience includes managing teams and leading complex data migration projects involving Siebel, SAP, and other applications for clients in telecom, automotive, banking, and other industries. She has strong skills in ETL tools like IBM Datastage, databases like Oracle, and programming languages like SQL.
This document discusses artificial intelligence and machine learning. It explains that deep learning is a key area of focus. It also outlines some fundamental components of an AI system including inputs, an inference engine, and outputs. Additionally, it discusses Google Cloud Platform's key AI components like TensorFlow, APIs for speech, video, vision, and translation. Finally, it provides examples of enterprise applications of AI in various industries.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Looking to make your document processing operations more effective and cost-efficient with AI/ML? Learn from the experts of Provectus and Amazon Web Services (AWS) how to choose the right solution for your company! We will look into the management and engineering perspectives of AI document processing, from industry use cases and the solution map to our unique methodology for assessing available document processing solutions to Provectus IDP. Whether you are looking for a ready-made solution or you plan to build a custom solution of your own, this webinar will help you find the best option for your business.
Agenda
- Introductions
- Industry use cases
- Intelligent Document Processing (IDP) overview
- IDP Solutions map
- AWS IDP Solution
- Provectus IDP Platform
- Q&A
Intended Audience
Technology executives and decision makers, including such roles as CIO, CCO, COO, and CDO; digital transformation managers; data and ML engineers.
Presenters
Almir Davletov, IDP Subject Matter Expert, Provectus
Yaroslav Tarasyuk, Business Development, Provectus
Sonali Sahu, Sr. Solutions Architect, AWS
Interested? Learn more about Provectus Intelligent Document Processing Solution: https://provectus.com/document-processing-solution/
Suman Saha has over 12 years of experience as a senior data architect specializing in building data warehouses and ETL solutions. Some of Saha's projects include designing the integrated data warehouse at T-Mobile on a big data platform, creating data architecture guidelines at T-Mobile, and architecting various data marts and reporting solutions for Toyota Financial Services using tools like Informatica, Oracle, and OBIEE. Saha has extensive experience in data modeling, ETL development, and data integration across various industries.
Demanding modern business environments require accurate infrastructure planning and deployment to support growth. Virtualization and VDI extract the most value from servers and storage by driving insights and workforce productivity. Dell EMC PowerEdge 4-socket servers and newly introduced PowerStore storage deliver boosted business and worker productivity through unique capabilities.
Decision Optimization - CPLEX Optimization Studio - Product Overview(2).PPTXSanjayKPrasad2
This document provides an overview of IBM's prescriptive analytics software IBM ILOG CPLEX Optimization Studio (COS). It discusses how prescriptive analytics fits within the analytics portfolio including descriptive, predictive, and prescriptive analytics. It then describes COS's target audiences, key features like optimization engines and modeling tools, example applications that have achieved significant cost savings, and how optimization models are created and deployed.
Prodev provides software solutions and consulting services to meet business needs. This includes office automation, engineering change management, database applications, and web development. Prodev aims to understand client requirements and implement efficient solutions that provide measurable return on investment and free up resources for primary job functions.
The document summarizes the performance and capabilities of Dell EMC's SC Series hybrid flash arrays. It claims the SC Series offers up to 3X more bandwidth, 2X greater capacity, and up to 45% more IOPS compared to previous generations. It also highlights the SC Series' self-optimizing architecture, low storage costs, flexibility to adapt to changing demands, and status as the #1 storage vendor and all-flash leader according to IDC.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
Mohammad Amjad Khan has over 11 years of experience working as an ETL Developer and BI Analyst. He has extensive experience extracting, transforming, and loading data from various sources like SAP, legacy systems, and file systems into data warehouses using tools like Informatica and Cognos Data Manager. He also has experience writing queries, creating reports and dashboards using Cognos and Business Objects. Some of the key projects he has worked on include data migration projects for Amazon, Vodafone, Friends Life, and KPMG.
Enterprise adoption of AI/ML services has significantly accelerated in the last few years. However, the majority of ML models are still developed with the goal of solving a single task, e.g., prediction, classification. In this context, Compositional AI envisions seamless composition of existing AI/ML services, to provide a new (composite) AI/ML service, capable of addressing complex multi-domain use-cases. In this work, we consider two MLOps aspects that need to be enabled to realize Composable AI scenarios: (i) integration of DataOps and MLOps, and (ii) extension of the integrated DataOps-MLOps pipeline such that inferences made by a deployed ML model can be provided as training dataset for a new model. In an enterprise AI/ML environment, this enables reuse, agility, and efficiency in development and maintenance efforts.
Ähnlich wie Meeting the challenges of AI workloads with the Dell AI portfolio (20)
Help skilled workers succeed with Dell Latitude 7030 and 7230 Rugged Extreme ...Principled Technologies
Instead of equipping consumer-grade tablets with rugged cases
Conclusion
In our hands-on testing, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets showed that they are better equipped to help skilled workers than consumer-grade Apple iPad Pro and Samsung Galaxy Tab S9 tablets in multiple ways. They provide more built-in capabilities and features than the consumer-grade tablets we tested. And, while they were more expensive than the rugged-case fortified consumer-grade options we tested, their rugged claims were more than skin deep.
In our performance and durability tests, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets performed better in demanding manufacturing, logistics, and field service environments than consumer-grade tablets with rugged cases. Both Rugged Extreme Tablets, with their greater thermal range, suffered less performance degradation in extreme temperatures, never failed and were merely scuffed after 26 hard drops, survived a 10 minute drenching with no ill effects, and were easier to view in direct sunlight than Apple iPad Pro and Samsung Galaxy Tab S9 tablets.
Bring ideas to life with the HP Z2 G9 Tower Workstation - InfographicPrincipled Technologies
We compared CPU performance and noise output of an HP Z2 G9 Tower Workstation in High Performance Mode to a similarly configured Dell Precision 3660 Tower Workstation in its out-of-box performance mode
Workstations powered by Intel can play a vital role in CPU-intensive AI devel...Principled Technologies
In three AI development workflows, Intel processor-powered workstations delivered strong performance, without using their GPUs, making them a good choice for this part of the AI process
Conclusion
We executed three AI development workflows on tower workstations and mobile workstations from three vendors, with each workflow utilizing only the Intel CPU cores, and found that these platforms were suitable for carrying out various AI tasks. For two of the workflows, we learned that completing the tasks on the tower workstations took roughly half as much time as on the mobile workstations. This supports the idea that the tower workstations would be appropriate for a development environment for more complex models with a greater volume of data and that the mobile workstations would be well-suited for data scientists fine-tuning simpler models. In the third workflow, we explored tower workstation performance with different precision levels and learned that using 16-bit floating point precision allowed the workstations to execute the workflow in less time and also reduced memory usage dramatically. For all three AI workflows we executed, we consider the time the workstations needed to complete the tasks to be acceptable, and believe that these workstations can be appropriate, cost-effective choices for these kinds of activities.
Enable security features with no impact to OLTP performance with Dell PowerEd...Principled Technologies
Get comparable online transaction processing (OLTP) performance with or without enabling AMD Secure Memory Encryption and AMD Secure Encrypted Virtualization - Encrypted State
Conclusion
You’ve likely already implemented many security measures for your servers, which may include physical security for the data center, hardware-level security, and software-level security. With the cost of data breaches high and still growing, however, wise IT teams will consider what additional security measures they may be able to implement.
AMD SME and SEV-ES are technologies that are already available within your AMD processor-powered 16th Generation Dell PowerEdge servers—and in our testing, we saw that they can offer extra layers of security without affecting performance. We compared the online transaction processing performance of a Dell PowerEdge R7625 server, powered by AMD EPYC 9274F processors, with and without these two security features enabled. We found that enabling AMD Secure Memory Encryption and Secure Encrypted Virtualization-Encrypted State did not impact performance at all.
If your team is assessing areas where you might be able to enhance security—without paying a large performance cost—consider enabling AME SME and AMD SEV-ES in your Dell PowerEdge servers.
Improving energy efficiency in the data center: Endure higher temperatures wi...Principled Technologies
In high-temperature test scenarios, a Dell PowerEdge HS5620 server continued running an intensive workload without component warnings or failures, while a Supermicro SYS‑621C-TN12R server failed
Conclusion: Remain resilient in high temperatures with the Dell PowerEdge HS5620 to help increase efficiency
Increasing your data center’s temperature can help your organization make strides in energy efficiency and cooling cost savings. With servers that can hold up to these higher everyday temperatures—as well as high temperatures due to unforeseen circumstances—your business can continue to deliver the performance your apps and clients require.
When we ran an intensive floating-point workload on a Dell PowerEdge HS5620 and a Supermicro SYS-621CTN12R in three scenario types simulating typical operations at 25°C, a fan failure, and an HVAC malfunction, the Dell server experienced no component warnings or failures. In contrast, the Supermicro server experienced warnings in all three scenario types and experienced component failures in the latter two tests, rendering the system unusable. When we inspected and analyzed each system, we found that the Dell PowerEdge HS5620 server’s motherboard layout, fans, and chassis offered cooling design advantages.
For businesses aiming to meet sustainability goals by running hotter data centers, as well as those concerned with server cooling design, the Dell PowerEdge HS5620 is a strong contender to take on higher temperatures during day-to-day operations and unexpected malfunctions.
Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powe...Principled Technologies
The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a Kubernetes container-based generative AI workload effectively
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation (VCF)
For organizations running clusters of moderately configured, older Dell PowerEdge servers with a previous version of VCF, upgrading to better-configured modern servers can provide a significant performance boost and more.
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation 4.5
If your company is struggling with underperforming infrastructure, upgrading to 16th Generation Dell PowerEdge servers running VCF 5.1 could be just what you need to handle more database throughput and reduce vSAN latencies. As an additional benefit to IT admins, we also found that the embedded VMware Aria Operation adapter provided useful infrastructure insights.
Realize 2.1X the performance with 20% less power with AMD EPYC processor-back...Principled Technologies
Three AMD EPYC processor-based two-processor solutions outshined comparable Intel Xeon Scalable processor-based solutions by handling more Redis workload transactions and requests while consuming less power
Conclusion
Performance and energy efficiency are significant factors in processor selection for servers running data-intensive workloads, such as Redis. We compared the Redis performance and energy consumption of a server cluster in three AMD EPYC two-processor configurations against that of a server cluster in two Intel Xeon Scalable two-processor configurations. In each of our three test scenarios, the server cluster backed by AMD EPYC processors outperformed the server cluster backed by Intel Xeon Scalable processors. In addition, one of the AMD EPYC processor-based clusters consumed 20 percent less power than its Intel Xeon Scalable processor-based counterpart. Combining these measurements gave us power efficiency metrics that demonstrate how valuable AMD EPYC processor-based servers could be—you could see better performance per watt with these AMD EPYC processor-based server clusters and potentially get more from your Redis or other data intensive applications and workloads while reducing data center power costs.
Improve performance and gain room to grow by easily migrating to a modern Ope...Principled Technologies
We deployed this modern environment, then migrated database VMs from legacy servers and saw performance improvements that support consolidation
Conclusion
If your organization’s transactional databases are running on gear that is several years old, you have much to gain by upgrading to modern servers with new processors and networking components and an OpenShift environment. In our testing, a modern OpenShift environment with a cluster of three Dell PowerEdge R7615 servers with 4th Generation AMD EPYC processors and high-speed 100Gb Broadcom NICs outperformed a legacy environment with MySQL VMs running on a cluster of three Dell PowerEdge R7515 servers with 3rd Generation AMD EPYC processors and 25Gb Broadcom NICs. We also easily migrated a VM from the legacy environment to the modern environment, with only a few steps required to set up and less than ten minutes of hands-on time. The performance advantage of the modern servers would allow a company to reduce the number of servers necessary to perform a given amount of database work, thus lowering operational expenditures such as power and cooling and IT staff time for maintenance. The high-speed 100Gb Broadcom NICs in this solution also give companies better network performance and networking capacity to grow as they embrace emerging technologies such as AI that put great demands on networks.
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience
Conclusion
When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
A Principled Technologies deployment guide
Conclusion
Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation 4.5
Conclusion
If your company is struggling with underperforming infrastructure, upgrading to 16th Generation Dell PowerEdge servers running VCF 5.1 could be just what you need to handle more database throughput and reduce vSAN latencies. We found that a Dell PowerEdge R760 server cluster running VCF 5.1 processed over 78 percent more TPM and 79 percent more NOPM than a Dell PowerEdge R750 server cluster running VCF 4.5. It’s also worth noting that the PowerEdge R750 cluster bottlenecked on vSAN storage, with max write latency at 8.9ms. For reference, the PowerEdge R760 cluster clocked in at 3.8ms max write latency. This higher latency is due in part to the single disk group per host on the moderately configured PowerEdge R750 cluster, while the better-configured PowerEdge R760 cluster supported four disk groups per host. As an additional benefit to IT admins, we also found that the embedded VMware Aria Operation adapter provided useful infrastructure insights.
Based on our research using publicly available materials, it appears that Dell supports nine of the ten PC security features we investigated, HP supports six of them, and Lenovo supports three features.
Increase security, sustainability, and efficiency with robust Dell server man...Principled Technologies
Compared to the Supermicro management portfolio
Conclusion
Choosing a vendor for server purchases is about more than just the hardware platform. Decision-makers must also consider more long-term concerns, including system/data security, energy efficiency, and ease of management. These concerns make the systems management tools a vendor offers as important as the hardware.
We investigated the features and capabilities of server management tools from Dell and Supermicro, comparing Dell iDRAC9 against Supermicro IPMI for embedded server management and Dell OpenManage Enterprise and CloudIQ against Supermicro Server Manager for one-to-many device and console management and monitoring. We found that the Dell management tools provided more comprehensive security, sustainability, and management/monitoring features and capabilities than Supermicro servers did. In addition, Dell tools automated more tasks to ease server management, resulting in significant time savings for administrators versus having to do the same tasks manually with Supermicro tools.
When making a server purchase, a vendor’s associated management products are critical to protect data, support a more sustainable environment, and to ease the maintenance of systems. Our tests and research showed that the Dell management portfolio for PowerEdge servers offered more features to help organizations meet these goals than the comparable Supermicro management products.
Increase security, sustainability, and efficiency with robust Dell server man...Principled Technologies
Compared to the Supermicro management portfolio
Conclusion
Choosing a vendor for server purchases is about more than just the hardware platform. Decision-makers must also consider more long-term concerns, including system/data security, energy efficiency, and ease of management. These concerns make the systems management tools a vendor offers as important as the hardware.
We investigated the features and capabilities of server management tools from Dell and Supermicro, comparing Dell iDRAC9 against Supermicro IPMI for embedded server management and Dell OpenManage Enterprise and CloudIQ against Supermicro Server Manager for one-to-many device and console management and monitoring. We found that the Dell management tools provided more comprehensive security, sustainability, and management/monitoring features and capabilities than Supermicro servers did. In addition, Dell tools automated more tasks to ease server management, resulting in significant time savings for administrators versus having to do the same tasks manually with Supermicro tools.
When making a server purchase, a vendor’s associated management products are critical to protect data, support a more sustainable environment, and to ease the maintenance of systems. Our tests and research showed that the Dell management portfolio for PowerEdge servers offered more features to help organizations meet these goals than the comparable Supermicro management products.
Scale up your storage with higher-performing Dell APEX Block Storage for AWS ...Principled Technologies
In our tests, Dell APEX Block Storage for AWS outperformed similarly configured solutions from Vendor A, achieving more IOPS, better throughput, and more consistent performance on both NVMe-supported configurations and configurations backed by Elastic Block Store (EBS) alone.
Dell APEX Block Storage for AWS supports a full NVMe backed configuration, but Vendor A doesn’t—its solution uses EBS for storage capacity and NVMe as an extended read cache—which means APEX Block Storage for AWS can deliver faster storage performance.
Scale up your storage with higher-performing Dell APEX Block Storage for AWSPrincipled Technologies
Dell APEX Block Storage for AWS offered stronger and more consistent storage performance for better business agility than a Vendor A solution
Conclusion
Enterprises desiring the flexibility and convenience of the cloud for their block storage workloads can find fast-performing solutions with the enterprise storage features they’re used to in on-premises infrastructure by selecting Dell APEX Block Storage for AWS.
Our hands-on tests showed that compared to the Vendor A solution, Dell APEX Block Storage for AWS offered stronger, more consistent storage performance in both NVMe-supported and EBS-backed configurations. Using NVMe-supported configurations, Dell APEX Block Storage for AWS achieved 4.7x the random read IOPS and 5.1x the throughput on sequential read operations per node vs. Vendor A. In our EBS-backed comparison, Dell APEX Block Storage for AWS offered 2.2x the throughput per node on sequential read operations vs. Vendor A.
Plus, the ability to scale beyond three nodes—up to 512 storage nodes with capacity of up to 8 PBs—enables Dell APEX Block Storage for AWS to help ensure performance and capacity as your team plans for the future.
Get in and stay in the productivity zone with the HP Z2 G9 Tower WorkstationPrincipled Technologies
We compared CPU performance and noise output of an HP Z2 G9 Tower Workstation in High Performance Mode to Dell Precision 3660 and 5860 tower workstations in optimized performance modes
Conclusion
HP Z2 G9 Tower Workstation users can change the BIOS settings to dial in the performance mode that best suits their needs: High Performance Mode, Performance Mode, or Quiet Mode. In good
news for both creative and technical professionals, we found that an Intel Core i9-13900 processor-powered HP Z2 G9 Tower Workstation set to High Performance mode received higher CPU-based benchmark scores than both a similarly configured Dell Precision 3660 and a Dell Precision 5860 equipped with an Intel Xeon w5-2455x processor. Plus, the HP Z2 G9 Tower Workstation was quieter while running CPU-intensive Cinebench 2024 and SPECapc for Solidworks 2022 workloads than both Dell Precision tower workstations. This means HP Z2 G9 Tower Workstation users who prize performance over everything else can do so without sacrificing a quiet workspace.
Open up new possibilities with higher transactional database performance from...Principled Technologies
In our PostgreSQL tests, R7i instances boosted performance over R6i instances with previous-gen processors
If you use the open-source PostgreSQL database to run your critical business operations, you have many cloud options from which to choose. While many of these instances can do the job, some can deliver stronger performance, which can mean getting a greater return on your cloud investment.
We conducted hands-on testing with the HammerDB TPROC-C benchmark to see how the PostgreSQL performance of Amazon EC2 R7i instances, enabled by 4th Gen Intel Xeon Scalable processors, stacked up to that of R6i instances with previous-generation processors. We learned that small, medium-sized, and large R7i instances with the newer processors delivered better OLTP performance, with improvements as high as 13.8 percent. By choosing the R7i instances, your organization has the potential to support more users, deliver a better experience to those users, and even lower your cloud operating expenditures by requiring fewer instances to get the job done.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Meeting the challenges of AI workloads with the Dell AI portfolio
1. Meeting the challenges of
AI workloads with the Dell
AI portfolio
A comparison of the Dell AI
portfolio vs. similar offerings
from HPE
There’s no doubt that artificial intelligence (AI) has
transformed the business landscape and enabled
industries and organizations of all sizes to gain deeper
insights from their data, automate business processes,
deliver tailored customer and user experiences, and
better compete in their industry. To effectively harness the
power of AI, organizations need an infrastructure provider
that can offer a comprehensive and integrated solution
portfolio that encompasses the entire AI lifecycle.
To help customers address the growing demands of AI
and navigate its inherent complexities are infrastructure
vendors such as Dell Technologies and Hewlett Packard
Enterprise (HPE). Showcasing AI-ready portfolios, these
vendors offer differing levels of AI solutions that unite
high-performance on-prem and cloud infrastructure
solutions with strategic partnerships and a menu of
support and consultation services.
This report examines publicly available information
about the Dell and HPE AI portfolios* with a goal of
highlighting specific architectural, performance, and
support advantages that customers might benefit from
by selecting Dell Technologies for their AI needs. We
compare details of the servers that Dell built to support
AI deployments and reference industry benchmark testing
results from ML Commons®
. We also explore additional
software and service offerings that support customers at
every stage of their AI journey.
*Note: PT completed all research on or before December 5, 2023, so
this paper will not reflect offerings or changes either Dell or HPE releases
after that date.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024
A Principled Technologies report: In-depth research. Real-world value.
2. The challenges of adopting AI
Adopting an AI strategy presents many new challenges for data centers and the IT personnel who staff
them including:
• Addressing the existing skill gaps in their current staff through either in-house AI training or
external hiring.
• Understanding the data preparation needs of AI, including the quality, quantity, location, and current
state of the business’s data.
• Assessing the specific business AI goals to better determine which AI models and implementations
will provide benefits.
• Assessing the computational, networking, and storage needs of the planned AI systems, and
determining an acquisition plan.
These are just a few examples of the many, often significant hurdles a company will face when looking to
reap the benefits of implementing AI in their data centers.
The Dell AI portfolio seeks to help customers address these challenges through professional and
consultative services that help customers build implementation roadmaps and prepare their data for AI
models.1
The portfolio also includes training courses that cover machine learning (ML) concepts and other
educational topics and offers validated designs for AI to help ensure implementation success.2
In addition,
Dell partners with third parties to bring to customers additional AI tools , such as a custom Dell portal within
the Hugging Face community with dedicated containers and scrips for open-source AI model deployment3
and easy deployment of the Meta Llama 2 large language model (LLM).4
Along with a large selection of
compute and PC offerings, from mobile workstations to servers that support up to 8 high-end NVIDIA GPUs,
Dell also provides the unstructured data storage AI requires with a portfolio of high-performance file and
object storage arrays. These storage offerings, including Dell PowerScale, ObjectScale, ECS, and onboard
storage, can handle the unstructured data that AI workloads frequently employ.5
Dell has also partnered
with Snowflake to provide a hybrid cloud storage solution for Dell customers.6
According to Dell analysis, as
of August 2023, they offer the “broadest Generative AI Portfolio,” going beyond just servers and storage by
providing resources across the AI implementation journey.7
AI performance and accelerated compute options: Dell vs. HPE
AI workloads can use CPUs, GPUs, or both as computational resources depending on the size or type of
workload. Some CPUs provide AI-specific accelerators, such as Intel Advanced Matrix Extensions (Intel
AMX) in the latest Intel Xeon Scalable processors.8
GPUs are often better for larger and/or more demanding
workloads, but GPU form factor can affect performance levels. For example, some NVIDIA A100 and H100
model GPUs come in either universal PCIe or proprietary SXM form factors, the latter of which use the
higher-performing NVIDIA SXM architecture.9
Large memory capacities and server design features such as
cooling architecture and power efficiency also affect performance. Most data centers still use air cooling,
which means that high-performing compute (HPC) workloads need servers built to cool with air as effectively
as possible. Below, we highlight PowerEdge server offerings in terms of components, cooling options, and
more, along with their published MLCommons®
MLPerf®
scores.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 2
3. AI model benchmark performance: MLPerf result comparison
MLPerf®
is a benchmark suite that tests AI performance for both training and inferencing. For an organization
to publish official MLPerf®
results, the results must be compliant with specific conditions set by the benchmark
developer, MLCommons®
.10
These compliance guidelines provide standards that make it easier to compare
performance. For inference testing, MLPerf®
uses Datacenter, Edge, Mobile, and Tiny datasets, and reports AI
scores and watts of power consumed during testing. The inference benchmark suite includes testing for many
common AI, ML, and DL models; see Table 1.
Table 1: AI, ML, and DL models included in MLPerf® testing and typical use cases for each. Source: Principled Technologies.
Common AI models Typical use cases
ResNet An image classification model that helps computers learn, remember, and identify
different images for use cases such as medical imaging, social media content
moderation, and facial recognition
RetinaNet A type of object detection that can handle additional complexity compared to ResNet.
It helps computers to identify and locate objects within images or video frames, and
can classify them by importance. Used for things like autonomous driving, vehicle
auto-assist technology, surveillance, facial recognition
3D-UNet Specific to medical image segmentation
RNN-T Speech recognition for use cases such as automated language translation
BERT Natural language processing for use cases such as text summarization, language
translation, and autocompletion of tasks
DLRM-v2-99.9 Recommendation model for use cases such as targeted ads and personalized
product recommendations
GPTJ-99 and 99.9 LLM for natural language processing that excels at text generation for use cases such
as chatbots and chat-based AI tools
MLPerf
MLPerf®
results include several parameters in addition to the AI models themselves, which can make for a lot of
data to parse in a single chart or table. Here’s a quick reference to these parameters:
• 99.0 and 99.9: These numbers refer to the accuracy to which the model was trained. The more accurate
you need the output to be, the more complex the model and the longer it can take to process data.
• Offline samples/sec: Mode where the benchmark sends all queries at the beginning of the test simulating
data already present on the system.
• Server queries/sec: Mode where the benchmark sends queries throughout the test duration simulating
analyzing a live stream of data.
For more about MLCommons®
and MLPerf®
results, see https://mlcommons.org/benchmarks/
inference-datacenter/.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 3
4. Results in this report come from MLPerf®
v3.1 Inference Datacenter results published on the
MLCommons®
website from November 2023.11
These results include submissions from technology
manufacturers and cloud service providers and cover a range of configurations. Compared to publicly
available submissions from HPE, Dell servers produced better results in certain AI models. (Note:
Different GPU configurations across the servers can make head-to-head comparisons difficult.) See
Table 2 for details.
Table 2: Dell and HPE servers included in the MLCommons® MLPerf® 3.1 results published as of 11/29/23.
Source: Principled Technologies.
Submitter Server model # and model of GPUs Description
Dell12
PowerEdge XE9680 8x NVIDIA H100 SXM For AI training and inference with large
workloads such as large language models
PowerEdge XE9640 4x NVIDIA H100 SXM For training large AI models in high density
and liquid cooled datacenters
PowerEdge XE8640 4x NVIDIA H100 SXM For driving traditional AI training, HPC, and
data analytics apps in a 4U form factor for
air-cooled datacenters
PowerEdge R760xa 4x NVIDIA H100 PCIe For a wide range of high-compute
workloads including AI-ML/DL training
and inferencing that do not require top
performing GPUs
HPE13,14
ProLiant XL675d
Gen10 Plus
8x NVIDIA A100 SXM For high-performance computing and AI
ProLiant DL380a Gen11 4x NVIDIA H100 PCIe 2U server for moderate AI workloads
Direct comparison between Dell and HPE servers
While there is more to a comprehensive AI strategy than hardware, ensuring the strongest hardware
performance is one of the most vital factors in AI workload success. As newer GPUs and other
technologies become available, AI workload capabilities also evolve. At the time the MLPerf®
v3.1 results
were first published, the best NVIDIA GPU available was the H100 Tensor Core with which Dell published
MLPerf®
results in several of their servers in both PCIe and SXM5 form factors.15
The published HPE
results included only one H100 submission and with only the PCIe form factor. Our research showed
that few of the available GPU-capable HPE servers supported the SXM5 H100 form factor for the best
NVIDIA GPU performance, and none of the HPE ProLiant servers do.16
As we show below, having better
GPUs typically improves AI workload performance.
Eight-GPU MLPerf results
The Dell PowerEdge XE9680 offers support for up to eight NVIDIA H100 SXM5 GPUs for AI acceleration
and up to two 4th
Generation Intel®
Xeon®
Scalable processors. The PowerEdge XE product family has
a modular architecture supporting SXM4 or SXM5 NVIDIA GPUs or Open Compute Project Accelerator
Module (OAM) GPU assemblies from AMD, which can boost performance compared to a standard
PCIe GPU.17
Taking up only 6U of rack space, the PowerEdge XE9680 is a compact eight-way NVIDIA
H100 SXM5 server. The latest HPE ProLiant Gen11 servers do not currently support the H100 SXM form
factor,18
though some of the HPE Cray Supercomputing servers do.19
Because HPE did not submit any
MLPerf®
results with the Cray servers and highlights only their ProLiant servers on their AI portfolio page,
we will focus on ProLiant servers for this paper. (See Figure 1.)
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 4
5. Figure 1: Screenshot of Featured AI products and services at https://www.hpe.com/us/en/solutions/ai-artificial-intelligence.html highlighting
HPE ProLiant Servers as of 12/5/2023.
In the MLPerf®
v3.1 results first published in November 2023 for eight-GPU servers, the Dell PowerEdge XE9680
with NVIDIA SXM5 H100 GPUs outperformed the HPE ProLiant XL675d Gen10 Plus with NVIDIA SXM4 A100
GPUs by up to 4.25x (see Figure 2).
Normalized MLPerf®
results: Dell PowerEdge XE9680 with H100 SXM5 vs.
HPE ProLiant XL675d Gen10 Plus with A100 SXM4 (Larger is better)
2.03 2.07
2.22 2.14
1.67 1.67
2.25
2.47
3.99
4.25
1 1 1 1 1 1 1 1 1 1
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
Server Offline Server Offline Offline Offline Server Offline Server Offline
99 99 99 99.9 99 99.9
ResNet Retinanet 3D-UNet BERT
Dell PowerEdge XE9680 HPE ProLiant XL675d Gen10 Plus
Accuracy
Model
Figure 2: Published MLPerf®
results for the Dell PowerEdge XE9680 and HPE ProLiant XL675d Gen10 Plus as of 11/29/23. The Dell System
uses the NVIDIA H100 GPU, while the GPUs in the HPE system are one generation older. Source: Principled Technologies using data
from MLCommons®
.20,21
For ease of comparison, we have normalized the test results in Figures 2 through 5. This means we assign the
value of 1 to each HPE ProLiant DL380a Gen 11 result and show the corresponding Dell PowerEdge R760xa
result in relation to it. As these results show, even one generation difference between GPU models can make a
significant difference in the performance you can expect to see across a multitude of AI workloads.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 5
6. Four-GPU MLPerf results
When saving data center power or space savings are key concerns, the 2U Dell PowerEdge XE9640 could
provide the answer. With up to four NVIDIA H100 SXM GPUs, the PowerEdgeXE9640 offers half the GPU
computational power of the XE9680, in two-thirds less space.22
The densely packed Dell PowerEdge XE9640
incorporates Dell Smart Cooling technology, providing an array of thermal technology including direct liquid
cooling for CPUs and GPUs.23
The 2U chassis of the PowerEdge XE9640 accommodates improved airflow mechanisms, including larger fans
and heatsinks, to help cool the other vital components, such as PCIe cards and memory.24
The PowerEdge
XE9640 is currently the only offering from either Dell or HPE that comes with four-way HGX H100 GPUs at 2U.
The HPE AI portfolio offers 1U and 2U Gen11 ProLiant servers, but they are limited to PCIe form factor GPUs.25
The Dell PowerEdge XE9640 server also supports Intel Max GPU Series 1550 OAM GPUs, which provide a low-
power, high-density GPU option that includes a PCIe card and an OpenCompute Accelerator Module (OAM).26
While we could not ascertain that as of 12/5/23 HPE offered a server with these GPUs, they do offer the HPE
ProLiant DL380 Gen11 and DL380a Gen11 with Intel Data Center GPU Max 1100 GPUs.27
This means that the
Dell PowerEdge XE9640 could be the only current offering with four Intel Max 1550 OAM GPUs in a 2U server.
For companies concerned with datacenter space and power efficiency, a 2U server with four Intel Max 1550
GPUs provides a solution that marries high-performance compute and energy efficiency without sacrificing
data center space.
The Dell PowerEdge XE9640 with four HGX H100 GPUs outperformed the HPE ProLiant DL380a with four PCIe
H100 GPUs by up to 1.99x in the published MLPerf®
3.1 results (see Figure 3).
Normalized MLPerf®
results: Dell PowerEdge XE9640 with H100 SXM5 vs.
HPE ProLiant DL380a Gen 11 with H100 PCIe (Larger is better)
1.62 1.55 1.66
1.52
1.99
1.51
1.77
1.54
1 1 1 1 1 1 1 1
0.00
0.50
1.00
1.50
2.00
2.50
Server Offline Server Offline Server Offline Server Offline
99 99 99 99
ResNet Retinanet BERT
Dell PowerEdge XE9640 HPE ProLiant DL380a Gen11
Accuracy
Model
Figure 3: Published MLPerf®
results for the Dell PowerEdge XE9680 and HPE ProLiant XL675d Gen10 Plus as of 11/29/23. The Dell System
uses the NVIDIA H100 GPU, while the GPUs in the HPE system are one generation older. Source: Principled Technologies using data
from MLCommons®
.28,29
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 6
7. The PowerEdge XE8640 offers a four-way GPU configuration with air cooling for processors and a Liquid Assisted
Air Cooling Radiator for the GPUs which does not require facility water –to-rack availability. For those who do
not or cannot use external coolant,30
the 4U Dell PowerEdge XE8640 supports four NVIDIA H100 SXM5 GPUs
providing the same computational power as the PowerEdge XE9640 without the need for direct liquid cooling.31
The Dell PowerEdge XE8640 features the latest 4th
Generation Intel Xeon Scalable processors and up to 4 TB
of memory32
to handle the large datasets and complex computations common in AI and data analytics. Again,
HPE does offer the NVIDIA H100 SXM5 GPUs in HPE Cray systems, but HPE ProLiant GPU-enabled servers do
not support it.
Compared to MLPerf®
data published as of November 2023, the PowerEdge XE8640 server with four NVIDIA
H100 SXM5 GPUs achieved the highest AI throughput among all four-GPU submissions in nine different
categories. As Figure 4 shows, compared to the HPE ProLiant DL380a server, it scored up to 2.07 times as high.
Normalized MLPerf®
results: Dell PowerEdge XE8640 with H100 SXM5 vs.
HPE ProLiant DL380a Gen 11 with H100 PCIe (Larger is better)
1.65 1.56 1.68
1.52
1.34 1.34
2.07
1.54
1.82
1.55
1 1 1 1 1 1 1 1 1 1
Server Offline Server Offline Offline Offline Server Offline Server Offline
99 99 99 99.9 99 99.9
ResNet Retinanet 3D-UNet BERT
Dell PowerEdge XE8640 HPE ProLiant DL380a Gen11
0.00
0.50
1.00
1.50
2.00
2.50
Accuracy
Model
Figure 4: Published MLPerf®
results for the Dell PowerEdge XE8640 and HPE ProLiant DL380a Gen11 as of 11/29/23. The Dell system uses
the NVIDIA H100 SXM form factor, while the HPE system uses the less powerful PCIe form factor. Source: Principled Technologies using data
from MLCommons®
.33,34
Finally, for organizations who may wish to start smaller and grow as needed, the 2U Dell PowerEdge R760xa
server accommodates a range of GPUs from NVIDIA, AMD, and Intel, with support for up to four double-width
PCIe Gen 5 GPUs or 12 single-width PCIe GPUs.35
It features 32 DIMM slots, an eight-drive bay for 2.5-inch disks,
and 12 PCIe slots, providing scalable storage that can grow with increasing AI data requirements and support for
up to 12 single-width PCIe GPUs or four double-width PCIe GPUs like the NVIDIA H100 or L40S.36
This scalability
means that the server can adapt to evolving AI tasks, from machine learning model training to advanced
data processing.
The air-cooling system of the PowerEdge R760xa supports high-density computing environments and can
accommodate higher thermal design power (TDP) accelerators up to 350W,37
an ability that can help it maintain
performance under intensive computational loads. In MLPerf®
ResNet, RetinaNet and BERT Server test results
published as of November 2023 using the “server” mode, the PowerEdge R760xa with four NVIDIA H100 PCIe
GPUs outperformed the HPE ProLiant DL380a Gen 11 also equipped with four H100 PCIe GPUs (see Figure 5).
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 7
8. Normalized MLPerf®
results: Dell PowerEdge R760xa with H100 PCIe vs.
HPE ProLiant DL380a Gen 11 with H100 PCIe (Larger is better)
1.09
0.88
1.08
0.56
1.29
0.97
1.16
0.95
1 1 1 1 1 1 1 1
Server Offline Server Offline Server Offline Server Offline
99 99 99 99
ResNet Retinanet BERT
Dell PowerEdge R760xa HPE ProLiant DL380a Gen11
0.00
0.50
1.00
1.50
2.00
2.50
Accuracy
Model
Figure 5: Published MLPerf®
results for the Dell PowerEdge R760xa and HPE ProLiant DL380a Gen11 as of 11/29/23. Both systems use the
PCIe form factor of the NVIDIA H100 GPUs. Source: Principled Technologies using data from MLCommons®
.38,39
All in all, the MLPerf®
results show that performance varies widely across servers and components, so selecting
the right options to support your workloads and their performance demands is critical. Dell PowerEdge servers
for AI workloads offer multiple options for cooling and density to fit whatever data center needs a company may
have while providing strong MLPerf®
performance.
More detailed coverage of the Dell AI Portfolio
While crucial, compute performance is only one consideration when planning your AI workloads. You must also
consider the rest of the AI portfolio a vendor offers when embarking upon an AI implementation. Below we
discuss additional categories critical to these AI portfolios, including client workstations, cloud-native products,
storage, and more. We also highlight areas where offerings from Dell may offer an advantage compared to HPE.
Workstations
For AI developers and data scientists, Dell Precision Data Science workstations offer NVIDIA RTX™
GPUs and
Intel Xeon®
CPUs, along with a suite of data science tools.40
These systems leverage professional-grade compute
options with NVIDIA GPUs certified for over 100 professional applications41
and Intel Xeon Scalable processor
accelerators such as Intel DL Boost.42
Precision workstations come in mobile, tower, and rack formats to serve
needs ranging from larger, stationary data analysis to on-the-go scientific field modeling.
HPE workstation offerings are narrower, primarily featuring single workstation towers equipped with NVIDIA L4s;
HPE offers no mobile workstation option.43
While adequate for many tasks, their workstation tower offerings
don’t bring the same flexibility and workload coverage as the more extensive range Dell provides. The variety in
size and portability options in Dell Precision workstations allow for more tailored solutions, accommodating the
different needs in settings such as laboratories, offices, and field operations.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 8
9. Storage
Storage may be just as vital as compute to running AI workloads. More data improves AI model
accuracy, but storing and managing massive datasets can challenge many data centers’ capabilities.
Additionally, because models are typically trained using unstructured data, AI-ready storage systems
must handle many different data types with ease.44
To provide capacity and scaling for AI, ML, and
DL datasets, Dell offers the PowerScale™
series for file storage and Elastic Cloud Storage (ECS) or
software-defined ObjectScale for object storage.
The PowerScale all-flash NAS portfolio offers capacity options ranging from3.84TB up to 720TB raw
capacity per node, with clustered all-flash capacities reaching 186PB of raw capacity. The flexibility and
scale of PowerScale can support a wide variety of customers and AI use cases.45
When clustered, the
PowerScale F900 can reach up to 186PB of total raw storage.46
All three all-flash PowerScale models—
F200, F600, and F900—include inline data compression and deduplication to improve storage
efficiency.47
Each PowerScale storage model uses the Dell OneFS™
file system, which employs policies
to tier storage to prioritize the most important data on the fastest tiers for workload optimization.48
Dell
also offers OneFS software in the AWS marketplace with Dell APEX File Storage for AWS. Customers
can leverage OneFS with their AWS compute instances for a consistent user experience with the same
features available in on-premises OneFS arrays.49
While HPE does offer public cloud integration for
hybrid storage solutions, we did not find a cloud-native option like Dell APEX File Storage for AWS
among its offerings.
Object storage options from Dell include Dell Enterprise Object Storage (ECS), which is “purpose-
built to store unstructured data at public cloud scale.”50
Along with built-in compatibility with Amazon
S3 object storage for hybrid cloud functionality, ECS storage nodes deliver capacities up to 14PB
per rack.51
HPE also offers unstructured storage with file and object storage options, though its
object storage offering is via a partnership with Scality. Customers can purchase HPE Solutions for
Scality from HPE.52
Professional services
Dell offers a wide spectrum of professional services, including consulting, data preparation,
deployment, support, and managed services to support AI deployments. For organizations looking
for validated architectures and solutions, Dell offers Validated Designs for AI, which target specific
use cases to take the guesswork out of designing and deploying AI resources. These Dell-validated
AI solutions include hardware and software bundles, conversational AI models, machine learning
operations, and more. By combining pre-configured, purpose-built solutions with AI-related services,
Dell offers a comprehensive AI solution across the spectrum of AI needs. These offerings could provide
a quicker and easier path to AI success compared to building ad-hoc solutions.
Dell services can also guide your AI journey from advising to implementation. Dell ProConsult Advisory
Services helps customers identify where users can benefit from adopting GenAI processes and create a
roadmap comprising required solutions and IT skills. Dell services can prepare data for Large Language
Model integration and train IT teams on AI knowledge. For full GenAI adoption, Dell teams review your
specific use cases and determine, deploy, and configure the best AI model to suit your needs. HPE
also offers professional services to support companies in their AI endeavors.53,54
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 9
10. Management considerations
Servers require ongoing management that takes up admin time. Firmware, software, and drivers need periodic
updates, IT staff must optimize and maintain performance and temperatures, and more. In previous Principled
Technologies (PT) testing, we assessed the management capabilities of Dell servers with Integrated Dell Remote
Access Controller 9 (iDRAC9).55
Admins can rely on automated online updates with iDRAC9 OpenManage™
Enterprise (OME) with configurable scheduling to keep their servers up-to-date and use profiles to quickly and
easily onboard new servers as workloads grow. With iDRAC and OME, Dell customers can access more remote
management features, deploy servers easier, and update firmware easier than they could using HPE OneView
and HPE iLO. With Dell PowerEdge servers come Dell management and services that could help organizations
by “reducing time and effort for tasks like monitoring system health or updating firmware,” freeing up IT cycles
for innovation and other tasks.56
Table 3: Summary of comparison between Dell and HPE management tools from a November 2022 PT report.57
Source: Principled Technologies.
What’s different with Dell
management tools
How much better
More remote management features
iDRAC vs. iLO
More HTML5 console and BIOS
configuration features for more
remote functionality in iDRAC
2.5X the HTML5 console features
and 13X the BIOS features
Easier server deployment
OME vs. OneView
One-to-many profile deployment
with OME
52% less time to deploy a server than
with OneView
Easier firmware updates
OME vs. OneView
Automated online updates with OME Update multiple servers by
connecting to Dell.com, saving the
time it takes to update servers by
manually uploading bundles with
OneView
Easier alerting
OME vs. OneView
Set up alert policies in OME and
execute automated actions based
on alerts
Automating this process saves time
and reduces potential for errors vs.
executing actions manually each time
you receive an alert in OneView
Easier to use security features
(system lockdown and
dynamic USB)
iDRAC vs. iLO
Fewer steps, less time, no reboots
using iDRAC
¼ steps, 91% less time for
System Lockdown
More robust analytics
CloudIQ for PowerEdge vs. InfoSight
Customizable reports, more health
metrics for better admin control with
CloudIQ for PowerEdge
Over 15x more metrics to choose
from compared to InfoSight
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 10
11. Conclusion
Harnessing the power of AI to streamline and improve business operations can be a challenging task, with
significant business implications. With technology advancing more rapidly than ever, partnering with the right
vendor for AI is key. By choosing a company like Dell that not only offers a comprehensive AI portfolio, but
can also provide planning, preparation, implementation and management services, customers can face these
challenges head on. MLPerf®
Benchmark testing shows that offerings in the Dell AI portfolio offer consistent,
strong performance for AI workloads. With high-performing and flexible server options, along with multiple
storage choices, validated solutions, and professional services specifically tailored for AI, Dell can help
businesses embrace AI and its benefits.
1. Dell, “Increasing Your Data Value with Dell Generative AI Solutions,” accessed December 19, 2023,
https://www.dell.com/en-us/blog/increasing-your-data-value-with-dell-generative-ai-solutions/.
2. Dell, “Dell AI solutions,” accessed December 12, 2023,
https://www.dell.com/en-us/dt/solutions/artificial-intelligence/index.htm#accordion0&tab0=0.
3. Dell, “Dell Technologies and Hugging Face to Simplify Generative AI with On-Premises IT,” accessed December 12, 2023,
https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releas-
es~usa~2023~11~20231114-dell-technologies-and-hugging-face-to-simplify-generative-ai-with-on-premises-it.htm#/
filter-on/Country:en-us.
4. Dell, “Dell and Meta Collaborate to Drive Generative AI Innovation,” accessed December 12, 2023,
https://www.dell.com/en-us/blog/dell-and-meta-collaborate-to-drive-generative-ai-innovation/.
5. Dell, “Dell AI-Ready Data Platform,” accessed December 12, 2023, https://www.dell.com/en-us/dt/solutions/artificial-in-
telligence/storage-for-ai.htm?hve=explore+unstructured+storage#tab0=0.
6. Dell, “Snowflake and Dell Partnership Gains Momentum,” accessed December 19, 2023,
https://www.dell.com/en-us/blog/snowflake-and-dell-partnership-gains-momentum/.
7. Robert McNeal, “Dell, VMware and NVIDIA Bring AI to Your Data,” accessed January 17, 2024,
https://www.dell.com/en-us/blog/dell-vmware-and-nvidia-bring-ai-to-your-data/. Per the link above: “Based on Dell anal-
ysis, August 2023. Dell Technologies offers solutions engineered to support AI workloads from Workstations PCs (mobile
and fixed) to Servers for High-performance Computing, Data Storage, Cloud Native Software-Defined Infrastructure,
Networking Switches, Data Protection, HCI and Services.”
8. Intel, “Accelerate Artificial Intelligence (AI) Workloads with Intel Advanced Matrix Extensions (Intel AMX),”
accessed December 12, 2023, https://www.intel.com/content/www/us/en/content-details/785250/accelerate-artificial-in-
telligence-ai-workloads-with-intel-advanced-matrix-extensions-intel-amx.html.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 11
12. 9. Vipera, “NVIDIA’s H100 and A100 GPU Cards: Exploring the Intricacies of SXM and PCI-E Connections,”
accessed December 12, 2023, https://www.viperatech.com/unraveling-the-mysteries-sxm-vs-pci-e-connections-in-nvidias-
high-end-h100-and-a100-gpus/.
10. GitHub, “MLPerf®
Results Messaging Guidelines,” accessed January 16, 2024,
https://github.com/mlcommons/policies/blob/master/MLPerf_Results_Messaging_Guidelines.adoc.
11. MLCommons®
, “MLPerf®
Inference: Datacenter Benchmark Suite Results,” accessed December 12, 2023,
https://mlcommons.org/en/inference-datacenter-31/.
12. Dell, “PowerEdge XE Servers,” accessed December 12, 2023, https://www.dell.com/en-us/dt/servers/specialty-servers/
poweredge-xe-servers.htm?hve=explore+poweredge+xe#tab0=0.
13. HPE, “HPE ProLiant XL675d Gen10 Plus Configure-to-order Server,” accessed December 12, 2023,
https://www.hpe.com/us/en/product-catalog/compute/proliant-servers/pip.1013142988.html.
14. HPE, “HPE ProLiant DL380a Gen11,” accessed December 12, 2023,
https://www.hpe.com/us/en/product-catalog/compute/proliant-servers/pip.proliant-dl380-server.1014696168.html.
15. MLCommons®
, “MLPerf®
Inference: Datacenter Benchmark Suite Results v 3.1,” accessed December 12, 2023,
https://mlcommons.org/benchmarks/inference-datacenter/.
16. HPE, “NVIDIA Accelerators for HPE ProLiant Servers,” accessed December 12, 2023,
https://www.hpe.com/psnow/doc/c04123180.html?jumpid=in_pdp-psnow-qs.
17. Dell, “PowerEdge XE9680 Specification Sheet,” accessed January 19, 2024,
https://www.delltechnologies.com/asset/en-us/products/servers/technical-support/poweredge-xe9680-spec-sheet.pdf.
18. HPE, “HPE & NVIDIA financial services solution sets new records in performance,” accessed December 12, 2023,
https://community.hpe.com/t5/alliances/hpe-amp-nvidia-financial-services-solution-sets-new-records-in/ba-p/7197388.
19. HPE, “QuickSpecs: HPE Cray Supercomputing XD670,” accessed December 12, 2023,
https://www.hpe.com/psnow/doc/a50004292enw.
20. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0069. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
21. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0085. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
22. Dell, “PowerEdge XE9640 Rack Server,” accessed December 12, 2023,
https://www.dell.com/en-us/shop/ipovw/poweredge-xe9640.
23. Accelsius, “Enabling the AI Revolution with Liquid Cooling,” accessed December 12, 2023,
https://www.accelsius.com/blog/enabling-the-ai-revolution-with-liquid-cooling.
24. Dell, “Dell PowerEdge XE9640 Technical Guide,” accessed December 12, 2023, https://www.delltechnologies.com/asset/
en-us/products/servers/technical-support/poweredge-xe9640-technical-guide.pdf.
25. HPE, “HPE ProLiant DL380a Gen11,” accessed December 12, 2023,
https://www.hpe.com/psnow/doc/PSN1014696168WWEN.pdf?jumpid=in_pdp-psnow-dds.
26. Intel, “Intel®
Data Center GPU Max Series Technical Overview,” accessed December 12, 2023, https://www.intel.com/con-
tent/www/us/en/developer/articles/technical/intel-data-center-gpu-max-series-overview.html#gs.08874l.
27. HPE, “Intel Data Center GPU Max 1100 48GB Accelerator for HPE Data sheet,” accessed December 12, 2023,
https://www.hpe.com/psnow/doc/PSN1014779728WWEN.
28. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0066. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
29. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0084. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 12
13. 30. Dell, “AI and HPC —With Air or Liquid Cooling,” accessed December 12, 2023, https://www.delltechnologies.com/asset/
en-us/products/servers/briefs-summaries/poweredge-xe9640-and-xe8640-infographic.pdf.
31. Dell, “PowerEdge XE8640 : Drive AI, HPC modeling and simulation workloads with superior performance,”
accessed December 12, 2023, https://www.delltechnologies.com/asset/en-us/products/servers/technical-support/power-
edge-xe8640-spec-sheet.pdf.
32. Dell, “PowerEdge XE8640 Rack Server,” accessed December 12, 2023,
https://www.dell.com/en-us/shop/ipovw/poweredge-xe8640.
33. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0067. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
34. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0084. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
35. Dell, “PowerEdge R760xa Rack Server,” accessed December 12, 2023, https://www.dell.com/en-us/shop/dell-power-
edge-servers/poweredge-r760xa-rack-server/spd/poweredge-r760xa/pe_r760xa_16902_vi_vp#features_section.
36. SANStorageWorks, “Dell EMC PowerEdge R760xa: Powerful and scalable for GPU workloads,”
accessed December 12, 2023, https://www.sanstorageworks.com/PowerEdge-R760xa.asp.
37. Dell, “Dell PowerEdge Servers and NVIDIA GPUs,” accessed December 12, 2023, https://infohub.delltechnologies.com/l/
design-guide-generative-ai-in-the-enterprise-inferencing/dell-poweredge-servers-and-nvidia-gpus-1/.
38. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0064. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
39. Verified MLPerf®
score of v3.1 Inference Closed. Retrieved from https://mlcommons.org/benchmarks/inference-datacen-
ter/ 5 December 2023, entry 3.1-0084. The MLPerf®
name and logo are registered and unregistered trademarks of ML-
Commons®
Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited.
See www.mlcommons.org for more information.
40. Dell, “Workstations for AI,” accessed December 12, 2023, https://www.dell.com/en-us/dt/ai-technologies/index.ht-
m?hve=explore+dell+precision+for+ai#pdf-overlay=//www.delltechnologies.com/asset/en-us/products/workstations/
briefs-summaries/ai-industry-brochure.pdf.
41. NVIDIA, “NVIDIA RTX in Professional Workstations,” accessed December 12, 2023,
https://www.nvidia.com/en-us/design-visualization/desktop-graphics/.
42. Intel, “Intel®
Deep Learning Boost (Intel®
DL Boost),” accessed December 12, 2023,
https://www.intel.com/content/www/us/en/artificial-intelligence/deep-learning-boost.html.
43. HPE, “HPE ProLiant ML350 Gen11,” accessed December 12, 2023, https://buy.hpe.com/us/en/compute/tower-servers/
proliant-ml300-servers/proliant-ml350-server/hpe-proliant-ml350-gen11/p/1014696172.
44. ComputerWeekly.com, “Storage requirements for AI, ML and analytics in 2022,” accessed December 12, 2023,
https://www.computerweekly.com/feature/Storage-requirements-for-AI-ML-and-analytics-in-2022.
45. Dell, “PowerScale AI-Ready Data Platform,” accessed December 12, 2023,
https://www.dell.com/en-us/shop/powerscale-family/sf/powerscale.
46. Dell, “Compare PowerScale,” accessed December 12, 2023,
https://www.dell.com/en-us/shop/powerscale-family/sf/powerscale#compare-module.
47. Dell, “Dell PowerScale All-Flash,” accessed December 12, 2023, https://www.delltechnologies.com/asset/en-us/products/
storage/technical-support/h15963-ss-powerscale-all-flash-nodes.pdf.
48. Dell, “Dell PowerScale OneFS Software Features,” accessed December 12, 2023, https://www.delltechnologies.com/as-
set/en-us/products/storage/technical-support/h18275-onefs-software-features-data-sheet.pdf.
49. Dell, “Dell APEX File Storage for AWS,” accessed December 12, 2023, https://www.delltechnologies.com/asset/en-us/
products/storage/briefs-summaries/h19575-so-apex-file-storage-for-aws.pdf.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 13
14. Principled Technologies is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
DISCLAIMER OF WARRANTIES; LIMITATION OF LIABILITY:
Principled Technologies, Inc. has made reasonable efforts to ensure the accuracy and validity of its testing, however, Principled Technologies, Inc. specifically disclaims
any warranty, expressed or implied, relating to the test results and analysis, their accuracy, completeness or quality, including any implied warranty of fitness for any
particular purpose. All persons or entities relying on the results of any testing do so at their own risk, and agree that Principled Technologies, Inc., its employees and its
subcontractors shall have no liability whatsoever from any claim of loss or damage on account of any alleged error or defect in any testing procedure or result.
In no event shall Principled Technologies, Inc. be liable for indirect, special, incidental, or consequential damages in connection with its testing, even if advised of
the possibility of such damages. In no event shall Principled Technologies, Inc.’s liability, including for direct damages, exceed the amounts paid in connection with
Principled Technologies, Inc.’s testing. Customer’s sole and exclusive remedies are as set forth herein.
This project was commissioned by Dell Technologies.
Principled
Technologies®
Facts matter.®
Principled
Technologies®
Facts matter.®
50. Dell, “Dell ECS Enterprise Object Storage,” accessed December 12, 2023,
https://www.dell.com/en-us/dt/storage/ecs/index.htm?hve=explore+ecs#tab0=0&tab1=0.
51. Dell, “Dell ECS Enterprise Object Storage,” accessed December 12, 2023,
https://www.dell.com/en-us/dt/storage/ecs/index.htm#tab0=0&tab1=0&accordion0.
52. HPE, “Storage Solutions for Scality,” accessed December 12, 2023,
https://www.hpe.com/us/en/storage/file-object/scality.html.
53. HPE, “Make AI work for you,” accessed January 16, 2024,
https://www.hpe.com/us/en/solutions/ai-artificial-intelligence.html.
54. HPE, “HPE AI Services – Generative AI Implementation,” accessed January 16, 2024,
https://www.hpe.com/us/en/services/generative-ai-implementation-service.html.
55. Principled Technologies, “Simplify administrator tasks and improve security and health monitoring with tools from the Dell
management portfolio vs. comparable tools from HPE,” accessed December 12, 2023,
https://www.principledtechnologies.com/Dell/Management-tools-vs-HPE-1122.pdf.
56. Principled Technologies, “Simplify administrator tasks and improve security and health monitoring with tools from the Dell
management portfolio vs. comparable tools from HPE,” accessed December 12, 2023,
https://www.principledtechnologies.com/Dell/Management-tools-vs-HPE-1122.pdf.
57. Principled Technologies, “Simplify administrator tasks and improve security and health monitoring with tools from the Dell
management portfolio vs. comparable tools from HPE.”
The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries.
All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
Meeting the challenges of AI workloads with the Dell AI portfolio January 2024 | 14