紧凑型和工业型

Supermicro Building Block solutions for 5G networks, the intelligent edge, and embedded applications.

MicroK8s with Charmed Kubeflow on Supermicro E403 server

This product brief discusses the AI inference capacity of the Supermicro SYS-E403-12P-FN2T, based on the MLPerf and OpenVino benchmarks.

Leverage cloud and edge computing to accelerate digital transformation.

Deploying cloud-managed gateways, simply and securely.

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.

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.

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.

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.

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.

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.

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.