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AI FOR ENTERPRISE
Enterprise technology has evolved with
each wave of the Industrial Revolution.
1st
Steam Power
3rd
Computing
2nd
Mass Production
19th Century
17th Century
21st Century
4th
Artificial Intelligence
20th Century
GPU Deep Learning is the foundation for the
fourth industrial revolution driven by AI.
GPU deep learning is a new computing model that spans training,
inference, and the billions of intelligent devices that will take
advantage of deep learning to perform intelligent tasks.
GPU Deep Learning in the cloud will accelerate enterprise AI.
Powerful partnerships are already in place.
“We’ve worked with Microsoft to
create a lightning-fast AI
platform that is available from
on-premises with our DGX-1
supercomputer to the Microsoft
Azure cloud.”
- Jen-Hsun Huang
CEO at NVIDIA
PRESS RELEASE
“By working closely with NVIDIA
and harnessing the power of
GPU-accelerated systems, we’ve
made Cognitive Toolkit and
Microsoft Azure the fastest,
most versatile AI platform.”
- Harry Shum
Executive VP of AI and
Research at Microsoft
PRESS RELEASE
“With Microsoft’s global reach,
every company around the world
can now tap the power of AI to
transform their business.”
- Jen-Hsun Huang
CEO at NVIDIA
PRESS RELEASE
IBM CEO Ginne Rometty saw a
two trillion dollar opportunity
in machine learning for
enterprise.
This ignited their recent drive
in advancing cloud computing
…
READ MORE
This joint solution, runs on
an IBM server built
specifically for AI and
utilizes NVIDIA NVLink to
optimize AI into the
enterprise.
… And developed PowerAI
with NVIDIA’s GPUDL toolkit
that accelerates machine
learning training and AI tasks.
“PowerAI democratizes Deep
Learning and other advanced
analytics technologies by giving
enterprise data scientists and
research scientists alike an easy to
deploy platform to rapidly advance
their journey on AI.”
-Ken King
General Manager for
OpenPOWER
TechRepublic
“Putting NVIDIA’s technology into
the IBM system will speed up
performance for such emerging
workloads as AI, deep learning, and
data analytics.”
-eWeek
READ MORE
-Karl Freund
Moor Insights & Strategy
“With these two partnerships in place, NVIDIA has aligned itself
with two of the largest suppliers of enterprise IT technology and
services to accelerate the adoption of AI in the enterprise and help
take AI into the mainstream of global businesses.”
READ NOW
GOOGLE
On Google Cloud, GPU Deep Learning is available for Google Compute Engine and
Google Cloud Machine Learning users to create new AI services and applications.
Tesla P100 delivers a 12x increase in
neural network training performance
compared with a previous generation
offering.
READ MORE
Amazon has boosted their cloud-
computing performance with new
GPU-Accelerated AWS instances that
are designed for large-scale machine
learning, deep learning, molecular
modeling, and computational finance
workloads.
READ MORE
“These (P2) instances were designed to
chew through tough large-scale
machine learning, deep learning,
computational fluid dynamics, seismic
analysis, molecular modeling, genomics,
and computational finance workloads.”
-Jeff Barr
Chief Evangelist at AWS
ZDNet
SAP
Enterprise software giant SAP is
now using DGX-1 supercomputers
to build machine learning
solutions for SAP’s 320,000
customers in 190 countries. The
system is designed to help data
scientists innovate get to market
faster with AI applications.
READ MORE
SAP
“SAP and ourselves are working together to bring hundreds of
customers of SAP the benefit of AI computing. Now with the
partnership of SAP, we will soon have applications running on
these [DGX-1] servers to serve the world’s largest enterprises.”
-Jen-Hsun Huang
CEO at NVIDIA
ITPro UK
““We expect in the real-time space,
robotics and computer vision
becoming a reality, predictive
analytics in the big-data space, even
software writing software. The goal is
always knowledge, and the
partnership with SAP is going to be
key for us to make this a reality.”
-Guy Gueritz
Global Account Manager of SAP, NVIDIA
SAP NEWS
These partnerships with the world’s largest
companies allow NVIDIA GPU Deep Learning platform
to be available for every company.
EXPLORE HERE
This movement has quickly accelerated
AI into one of today’s biggest enterprise
technologies.
READ MORE

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AI For Enterprise

  • 2. Enterprise technology has evolved with each wave of the Industrial Revolution.
  • 3. 1st Steam Power 3rd Computing 2nd Mass Production 19th Century 17th Century 21st Century 4th Artificial Intelligence 20th Century
  • 4. GPU Deep Learning is the foundation for the fourth industrial revolution driven by AI.
  • 5. GPU deep learning is a new computing model that spans training, inference, and the billions of intelligent devices that will take advantage of deep learning to perform intelligent tasks.
  • 6. GPU Deep Learning in the cloud will accelerate enterprise AI. Powerful partnerships are already in place.
  • 7. “We’ve worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud.” - Jen-Hsun Huang CEO at NVIDIA PRESS RELEASE
  • 8.
  • 9. “By working closely with NVIDIA and harnessing the power of GPU-accelerated systems, we’ve made Cognitive Toolkit and Microsoft Azure the fastest, most versatile AI platform.” - Harry Shum Executive VP of AI and Research at Microsoft PRESS RELEASE
  • 10.
  • 11. “With Microsoft’s global reach, every company around the world can now tap the power of AI to transform their business.” - Jen-Hsun Huang CEO at NVIDIA PRESS RELEASE
  • 12. IBM CEO Ginne Rometty saw a two trillion dollar opportunity in machine learning for enterprise. This ignited their recent drive in advancing cloud computing … READ MORE
  • 13. This joint solution, runs on an IBM server built specifically for AI and utilizes NVIDIA NVLink to optimize AI into the enterprise. … And developed PowerAI with NVIDIA’s GPUDL toolkit that accelerates machine learning training and AI tasks.
  • 14.
  • 15. “PowerAI democratizes Deep Learning and other advanced analytics technologies by giving enterprise data scientists and research scientists alike an easy to deploy platform to rapidly advance their journey on AI.” -Ken King General Manager for OpenPOWER TechRepublic
  • 16. “Putting NVIDIA’s technology into the IBM system will speed up performance for such emerging workloads as AI, deep learning, and data analytics.” -eWeek READ MORE
  • 17. -Karl Freund Moor Insights & Strategy “With these two partnerships in place, NVIDIA has aligned itself with two of the largest suppliers of enterprise IT technology and services to accelerate the adoption of AI in the enterprise and help take AI into the mainstream of global businesses.” READ NOW
  • 18. GOOGLE On Google Cloud, GPU Deep Learning is available for Google Compute Engine and Google Cloud Machine Learning users to create new AI services and applications. Tesla P100 delivers a 12x increase in neural network training performance compared with a previous generation offering. READ MORE
  • 19. Amazon has boosted their cloud- computing performance with new GPU-Accelerated AWS instances that are designed for large-scale machine learning, deep learning, molecular modeling, and computational finance workloads. READ MORE
  • 20. “These (P2) instances were designed to chew through tough large-scale machine learning, deep learning, computational fluid dynamics, seismic analysis, molecular modeling, genomics, and computational finance workloads.” -Jeff Barr Chief Evangelist at AWS ZDNet
  • 21. SAP Enterprise software giant SAP is now using DGX-1 supercomputers to build machine learning solutions for SAP’s 320,000 customers in 190 countries. The system is designed to help data scientists innovate get to market faster with AI applications. READ MORE
  • 22. SAP “SAP and ourselves are working together to bring hundreds of customers of SAP the benefit of AI computing. Now with the partnership of SAP, we will soon have applications running on these [DGX-1] servers to serve the world’s largest enterprises.” -Jen-Hsun Huang CEO at NVIDIA ITPro UK
  • 23. ““We expect in the real-time space, robotics and computer vision becoming a reality, predictive analytics in the big-data space, even software writing software. The goal is always knowledge, and the partnership with SAP is going to be key for us to make this a reality.” -Guy Gueritz Global Account Manager of SAP, NVIDIA SAP NEWS
  • 24. These partnerships with the world’s largest companies allow NVIDIA GPU Deep Learning platform to be available for every company. EXPLORE HERE
  • 25. This movement has quickly accelerated AI into one of today’s biggest enterprise technologies. READ MORE