The number of internet-connected devices is growing exponentially, enabling an increasing number of edge applications in environments such as smart cities, retail, and industry 4.0. These intelligent solutions often require processing large amounts of data, running models to enable image recognition, predictive analytics, autonomous systems, and more. Increasing system workloads and data processing capacity at the edge is essential to minimize latency, improve responsiveness, and reduce network traffic back to data centers. Purpose-built systems such as Supermicro’s short-depth, multi-node SuperEdge, powered by 3rd Gen Intel® Xeon® Scalable processors, increase compute and I/O density at the edge and enable businesses to further accelerate innovation.
Join this webinar to discover new insights in edge-to-cloud infrastructures and learn how Supermicro SuperEdge multi-node solutions leverage data center scale, performance, and efficiency for 5G, IoT, and Edge applications.
3. Old “Embedded” world IT World
Intelligent Edge
Standalone servers
Bare metal operating
systems
Lots of COTS product choices
Lightweight
DevOps
Low-cost architecture
and components are
supported
Evolved from IT world
Evolved from OT world
Cloud native
Hyperscale
Virtual Machines
Containers
No scale-out
Limited application
choices - niche products
Support for Realtime
workloads
Enterprise-grade hardware
expected
Autonomic management
Redundant distributed storage
Automatic failover
Scale-out architecture
Zero touch deployment
Programmatic management (APIs)
IT meets OT at the Intelligent Edge
Adapting the best technologies from datacenter and the cloud to the OT environment