Resource Library

Liquid-Cooled GPU Servers Reduce Power Consumption and Increase Performance

As the adoption of AI use cases in retail, manufacturing, smart spaces, and other industries continues to expand, enterprise infrastructure performance at the edge needs to keep up. Finding the right balance between performance and TCO is vital for a successful and sustainable business case. Additionally, enterprises are embracing specialized AI models for predictive, generative, physical, and agentic AI, making low-latency data processing for real-time decision-making even more critical. Join us as we discuss Edge AI use cases to demonstrate how businesses can drive growth and operational excellence and how Supermicro's edge portfolio is designed to deliver the required AI performance at the edge.

Closer to Data, Ahead of Tomorrow’s Intelligence

Traditional retail is more competitive than ever. As AI advances, retailers have the opportunity to unlock new efficiencies and incredible shopper experiences. But success isn’t guaranteed. It requires enterprise-grade edge systems with rack-simplicity. That’s where Supermicro and AMD come in.

This white paper explores how Intel’s Trust Domain Extensions (TDX) and NVIDIA Confidential Computing with Supermicro’s HGX B200-based systems together provide a powerful, secure, and scalable platform for next-generation AI infrastructure.

Supermicro ARS-E103-JONX: Performance Optimized, Fanless System for AI at the Edge

Power-efficient Performance for the Distributed Network

Supermicro and Algo-Logic Deliver Ultra-Low Latency execution of sophisticated trading strategies of Futures and Options. The system leverages an AI cluster, an analytics server with precise timestamping, and hardware-accelerated trade execution.

As AI/ML, Agentic AI, and Retrieval-Augmented Generation (RAG) workloads grow in complexity and demand, the performance of underlying storage systems becomes mission-critical. To keep GPUs fully utilized, storage must deliver exceptional performance in both sequential and random operations. With their excellent performance, NVMe PCIe drives are ideal for mission-critical applications.

Supermicro and AMD offer solutions to address the numerous challenges involved with successfully transitioning enterprise generative AI initiatives from Proof of concept to production, providing high-performance servers optimized for AI training and inferencing.

Supercharged AI & HPC workloads drive critical business momentum

Ultra-Performance for AI with 72 Liquid-Cooled NVIDIA B300 GPUs in a Rack

New Cloud Infrastructure Gives Customers a Full Range of Cloud Compute Services with the Latest Generation of AMD CPUs and GPUs

The rapid evolution of AI is enabling enterprises across a wide range of industries to enhance business operations and realize revenue from their data. This white paper highlights Supermicro’s industry-leading portfolio of GPU systems and how they can be combined with a range of NVIDIA PCIe GPUs for workload-specific optimization, maximizing ROI and simplifying the adoption of enterprise AI.

Servers with NVIDIA Blackwell GPUs Accelerate a Variety of Applications