Enterprise LLM Scaling and vLLM Performance on 4-Socket Systems Enables Higher Throughput, Greater User Concurrency, and Larger Models Beyond 2-Socket Architectures
By combining StorMagic with the diverse Supermicro server portfolio, businesses can confidently achieve a right-sized hyperconverged infrastructure. This collaboration enables you to select the ideal server model tailored to your specific needs, thereby eliminating overprovisioning while ensuring simplicity, reliability, and cost-effectiveness.
Intel® Advanced Matrix Extensions (Intel® AMX) Enhance vLLM Inference Through CPU-GPU Co-Serving: A Multi-Agent Architecture Leveraging Supermicro HGX B200 System
Enterprise LLM Scaling and vLLM Performance on 4-Socket Systems Enables Higher Throughput, Greater User Concurrency, and Larger Models Beyond 2-Socket Architectures
By combining StorMagic with the diverse Supermicro server portfolio, businesses can confidently achieve a right-sized hyperconverged infrastructure. This collaboration enables you to select the ideal server model tailored to your specific needs, thereby eliminating overprovisioning while ensuring simplicity, reliability, and cost-effectiveness.
Intel® Advanced Matrix Extensions (Intel® AMX) Enhance vLLM Inference Through CPU-GPU Co-Serving: A Multi-Agent Architecture Leveraging Supermicro HGX B200 System
This solution brief outlines the performance breakthroughs and business value of the myrtle.ai VOLLO™ acceleration stack running on a Supermicro AS -2015CS-TNR server, as showcased in the recently released STAC ML benchmark report.
Supermicro AI solutions featuring Arm AGI CPUs are built for the age of massive-scale agentic AI orchestration, delivering performance, efficiency, and density that maximizes the economics of rack-scale deployments.
The rapid proliferation of AI agents is creating a need for energy-efficient systems that deliver the required results within the expected timeframe. While AI training has dominated recent discussions, the rising demand for inference and agentic workloads calls for energy-optimized systems that operate across diverse environments. The rise of agentic AI will require CPUs capable of orchestrating and managing continuously running agents. This inflection point will require significantly more CPUs at rack-scale density, while keeping energy consumption within the power envelopes of current enterprise data centers.
NVIDIA GB300 Performance. Supermicro Ingenuity. From Desk to Data Center.
Supermicro X14 Servers Give Users the Flexibility to Match Systems and Processors to Workloads
Introducing Supermicro's X14 Generation supporting Intel® Xeon® 6/6+ processors – the latest generation of proven platforms designed for maximum performance, efficiency and flexibility for AI, Cloud, Storage and 5G/Edge workloads.
New System is Designed for OCP ORv3 Racks for Increased Data Center Compatibility
High Performance, Density, and Efficiency with Resource-Saving Architecture – Supermicro’s SuperBlade® and MicroBlade® platforms are designed to meet the growing demand for higher performance per rack with industry leading density and efficiency. These multi-node systems maximize compute capacity while minimizing power consumption, cabling requirements, and operational overhead.
Verda and Supermicro’s deployment in Europe runs on the latest NVIDIA technologies and is powered by 100% Renewable Energy
Supermicro accelerated solutions featuring NVIDIA RTX PRO™ Blackwell Server Edition GPUs deliver industry-leading time-to-online, performance, and flexibility for multi-workload acceleration from AI factory to data center to edge.
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.
