Accelerating Innovation from Edge to Cloud
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.
Accelerate Compute; Scaling Out to the Edge
New accelerated computing infrastructure provides significant advantages for drug discovery, industrial automation, the retail industry, autonomous driving, and enterprise machine learning operations. Supermicro provides the infrastructure building blocks to make it all possible.
Building Efficient Edge Nodes for Content Delivery Networks
Supermicro, Intel, and Varnish are delivering an optimized CDN solution built with the Intel Xeon-D processor in a Supermicro Superserver running Varnish Enterprise. This solution delivers strong performance in a compact form factor with low idle power and excellent performance per watt.
Zero Trust for Private 5G and Edge
Enterprise digital transformation requires a modern communication backbone to support adoption and use of new, data-driven use cases at scale. Private 5G, couple with Edge computing forms that next-generation, private network that drives everything from real-time customer/partner interaction to Industry 4.0.
AI Building Blocks for Industry 4.0
Federated deep learning enables collaboration to share data, while preserving data privacy, to build better AI models with reduced bias. This technique has wide applications across health care, finance, services, manufacturing, energy, and other industries. Supermicro will describe an implementation of federated deep learning using Supermicro AI platforms for health care and life sciences, using a resilient architecture built with MONAI, NVIDIA FLARE, NVIDIA CLARA, Kubernetes, and CEPH.
Tackling Retail Technology Management Challenges at the Edge
As the adoption of intelligent applications in the Retail industry grows, so do their technology requirements. This creates challenges for store operators to navigate the deployment and maintenance of hardware, applications, and management tools at locations without a dedicated IT staff. Along with the complexity of solutions, these operators are dealing with a wide range of installation scenarios, specific to the products or services they offer.
Edge AI: Smart Cities, Places, and Venues
Smart Cities initiatives are designed to make cities safer, smarter, and greener. Supermicro focuses on solution-oriented opportunities using common hardware platforms for multiple and repeatable use cases. Our integration model leverages various moving parts with our vast ecosystem of partner solutions, including software, system integrators, artificial intelligence, cameras, audio technology, connectivity, sensors, and ongoing solution support.
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