NVIDIA Blackwell Architecture Solutions
Air-Cooled Al SuperCluster With 256 NVIDIA HGXTM B200 GPUs, 32 10U Air-Cooled Systems
Industry Leading AI Performance with Advanced Air-Cooling Technology:
Supermicro’s SuperCluster accelerated by the NVIDIA Blackwell Platform, empowers the next stage of AI, defined by new breakthroughs, including the evolution of scaling laws and the rise of reasoning models. The SuperCluster provides the core infrastructure elements necessary to scale the NVIDIA Blackwell Platform and deploy the pinnacle of AI training and inference performance. SuperCluster simplifies the complexities of AI infrastructure by providing a fully validated AI cluster with a plug-
and-play deployment experience.
Supermicro’s new air-cooled SuperCluster is composed of the new Supermicro NVIDIA HGX B200 8-GPU systems. Featuring a redesigned 10U chassis to accommodate the thermals of its leading-edge AI compute performance, it is designed to tackle heavy AI workloads of all types, from training to fine-tuning to inference. NVIDIA Quantum InfiniBand or NVIDIA SpectrumTM networking in a centralized rack enables a non-blocking, 256-GPU scalable unit in nine racks.
Supermicro NVIDIA HGX B200 8-GPU Systems, Air-Cooled:
Supermicro NVIDIA HGX Systems are the building blocks of the world’s largest AI data centers. The new 10U air-cooled NVIDIA B200 8-GPU system features an upgraded mechanical design to improve airflow over key components, including the GPU heatsink and high-speed NICs. The system features 8 NVIDIA Blackwell GPUs, each with 180GB of HBM3e memory. The GPUs are interconnected at 1.8TB/s through the latest NVIDIA NVLink, with 1.4TB of GPU memory capacity per system.
The SuperCluster creates a massive pool of GPU resources, acting as one AI supercomputer, featuring 1:1 GPU-to-NIC ratio supporting NVIDIA ConnectX®-7 NICs or BlueField®-3 SuperNICs for scaling across high-performance compute fabric.
The Fundamental Building Blocks of AI SuperClusters
Intelligent Business Collaboration
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Practical Application Example
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