Kompakte und industrielle Systeme
E102 Ultra-compact IoT/Embedded Systems
Ultra-compact Servers to Deliver Compute Performance at the Remote edge
- Intel® Atom®, Celeron®, or Core™ processor, up to 4 cores
- Passive CPU heat sink
- Up to 64 GB RAM
- Broad range of network, USB, and other IO connectivity options
E200 Compact IoT/Embedded Systems
Compact Systems for Increased Compute Performance and IoT Connectivity at the Edge
- Intel® Atom®, or Premium® processor, up to 8 cores
- Up to 2 M.2 keys, or 1 2.5" internal drive bays
- Up to 128 GB RAM
- Broad range of network, USB, and other IO connectivity options
E300/E301 Compact IoT Servers
Powerful Compact Edge Systems for Data Processing and AI Inferencing at the Edge
- Intel® Atom®, Core™ or Xeon® D processor, or AMD EPYC™ 3000 series processor, up to 16 cores
- Up to 1 PCIe 5.0 x16 Slot
- Up to 2 2,5" inch drive bays
- Broad range of network, USB, and other IO connectivity options
E403 Box and Mini-Tower Systems
Heavy-duty Box and Mini-Tower Edge Systems with Powerful Processing and AI Inferencing Capabilities
- Intel® Xeon® D, Xeon Scalable, or Intel Core® processors
- Up to 3 PCIe slots for add-on or AI accelerator cards
- Optional wall-mounted deployment (E403)
- Dual 10 GbE network connectivity (E403)
Edge Storage System
Compact Mini-tower Optimized for Power-efficient Data Storage at the Edge
- 14th/13th/12th Generation Intel® Core™ Processor, up to 4 hot-swappable 3.5" and 1 2.5" drive bays, 350W power supply
5G, Edge, and IoT/Embedded Brochure
Supermicro Building Block solutions for 5G networks, the intelligent edge, and embedded applications.
Supermicro And MicroK8s Together Run AI At The Edge
MicroK8s with Charmed Kubeflow on Supermicro E403 server
SYS-E403 AI Inferencing Benchmark
This product brief discusses the AI inference capacity of the Supermicro SYS-E403-12P-FN2T, based on the MLPerf and OpenVino benchmarks.
Acumera: Deploying next-generation initiatives at the edge
Leverage cloud and edge computing to accelerate digital transformation.
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.
Models
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