Supermicro MGX Server with NVIDIA Grace Superchip – ARS-221GL-NR (Built to Order)

SKU: MMT-ARS-221GL-NR Category:

$1.00

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Description

All configurations are built to order. To obtain a quote, ask your MMT Account Manager to put you in touch with our NVIDIA & Supermicro team.The fastest, most flexible path to accelerated computing. Adapt to any computing need with NVIDIA MGX, a modular reference design that can be used for a wide variety of use cases, from remote visualization to supercomputing at the edge. MGX provides a new standard for modular server design by improving ROI and reducing time to market.

  • High density 2U GPU system with up to 4 NVIDIA H100 PCIe GPUs (also supports L40 and other GPUs)
  • Energy-Efficient NVIDIA Grace Superchip with 144 Cores
  • Highest GPU communication using NVIDIA NVLINK
  • NVIDIA BlueField-3 Data Processing Unit Support for the most demanding accelerated computing workloads
  • NVIDIA MGX Reference Design: Enabling to construct a wide array of platforms supporting both Arm- and x86-based servers and is compatible with current and future generations of GPUs, CPUs, and DPUs

Weight 0.000 g

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Description

All configurations are built to order. To obtain a quote, ask your MMT Account Manager to put you in touch with our NVIDIA & Supermicro team.The fastest, most flexible path to accelerated computing. Adapt to any computing need with NVIDIA MGX, a modular reference design that can be used for a wide variety of use cases, from remote visualization to supercomputing at the edge. MGX provides a new standard for modular server design by improving ROI and reducing time to market.

  • High density 2U GPU system with up to 4 NVIDIA H100 PCIe GPUs (also supports L40 and other GPUs)
  • Energy-Efficient NVIDIA Grace Superchip with 144 Cores
  • Highest GPU communication using NVIDIA NVLINK
  • NVIDIA BlueField-3 Data Processing Unit Support for the most demanding accelerated computing workloads
  • NVIDIA MGX Reference Design: Enabling to construct a wide array of platforms supporting both Arm- and x86-based servers and is compatible with current and future generations of GPUs, CPUs, and DPUs

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