Resource Library

Hosters and online gaming providers face a brutal economic reality: demand for compute power and immersive experiences is growing rapidly while demand for data center space and power is skyrocketing even faster. Lag, latency, and downtime are revenue killers. Today’s typical “server sprawl” makes it difficult to meet efficiency standards. The ability to extract more value from every rack is now a competitive necessity.

Four Node Cluster Delivered Up to 3.17X the Throughput, Supporting Twice as Many VMs compared to 3rd Gen Intel Xeon Scalable Processors

Supermicro Accelerated Solutions Featuring AMD Instinct™ GPU Clusters

SQL Server and Virtualization on a Single High-Performance Platform

Supermicro’s latest 5U PCIe GPU servers are optimized to deliver the full power of AMD’s new Instinct™ MI350P PCIe GPUs, giving enterprises a fast, cost-effective way to scale generative and agentic AI workloads without redesigning their data centers. 

High-Performance Industrial Compute for Modern SCADA, MES & IIoT Deployments

Myrtle.ai recently performed STAC-ML Markets (Inference) benchmark tests on a stack consisting of STAC-ML™ Pack for myrtle.ai VOLLO™ (Rev C) with Silicom Artena (AMD VP1802 FPGA) on Supermicro AS -2015CS-TNR (ID: MRTL260323).

STAC recently performed a STAC-AI™ LANG6 (Inference-Only) audit of the STAC-AI Pack for TensorRT-LLM (Rev D), running on a Supermicro SYS-222C-TN server hosting NVIDIA RTX PRO 6000 GPUs managed by Red Hat OpenShift 4.20. (ID: SMCI260303)

Supermicro’s Rear Door Heat Exchanger (RDHx) provides up to 120 kW of cooling capacity through a plug-and-cool design, enabling easy deployment and exceptional operational flexibility. Compatible with most standard racks, it is ideal for cooling nextgeneration high-density setups and significantly improves thermal performance. Its instant-upgrade capability and rapid installation minimize downtime, delivering superior agility for data center operators.

Adapting storage solutions to meet AI’s demands

Overcoming AI storage challenges with scalable, high-performance solutions

How data movement and storage design are becoming the dominant constraints in enterprise AI