This unit is a 1U NVIDIA system with 2 Grace-Hopper Super Chips (2 node) with on-board Hopper GPU and 72 core Grace CPU per superchip. It is a perfect system for AI, deep learning training and inferencing, alongside large language models (LLM) and generrative AI.
Key Features
High density 1U 2-node GPU system with Integrated NVIDIA® H100 GPU (1 per Node) NVIDIA Grace Hopper™ Superchip (Grace CPU and H100 GPU) NVLink® Chip-2-Chip (C2C) high-bandwidth, low-latency interconnect between CPU and GPU at 900GB/s Up to 576GB of coherent memory per node including 480GB LPDDR5X and 96GB of HBM3 for LLM applications 2x PCIe 5.0 x16 slots per node supporting NVIDIA BlueField®-3 or ConnectX®- 7 7 Hot-Swap Heavy Duty Fans with Optimal Fan Speed Control
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Drive Bays
2 x M.2 NVMe
4 x E1.S hot-swap NVMe drive slots
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Expansion Slots
2 PCIe 5.0 x16 FHFL slot(s)
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Form Factor
1U Rackmount
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GPU Model
NVIDIA GH200 Grace Hopper: Hopper H100 GPU
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Memory
Up to 96GB ECC HBM3
Up to 480GB ECC LPDDR5X