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Silver 1U rack server chassis with front drive bays and ventilation grilles

Supermicro

Supermicro ARS-210ME-FNR-OTO-38 rack server, Ampere Altra Q64-22 64-core, 128GB DDR4, 960GB SSD

SKU CH-14NN-CTQSP MPN ARS-210ME-FNR-OTO-38

1U rack server for AI, ML and HPC workloads with a 64-core Ampere Altra processor at 2.2 GHz, 128 GB DDR4-3200 memory and a 960 GB SSD

  • WorkloadAI/ML/HPC Server
  • CPU TypeAmpere Altra
  • 64-core Ampere Altra processor handles parallel AI workloads
  • 2 GHz base frequency sustains high-throughput compute
  • 128 GB DDR4-3200 memory feeds large datasets fast
  • 960 GB SSD stores models and checkpoints locally
  • 95 W TDP keeps power draw predictable in dense racks

AI/ML/HPC rack server

The Supermicro ARS-210ME-FNR-OTO-38 is a 2U rackmount server built around the Ampere Altra Q64-22 processor with 64 cores at 2.2 GHz and a 95 W TDP. It ships with 128 GB of DDR4-3200 memory and a 960 GB SSD, targeting AI, ML and HPC workloads that benefit from high core counts and memory bandwidth.

Build integration

The barebones ARS-210ME-FNR chassis provides the power delivery and cooling needed for the 95 W CPU and populated memory slots. Occupying 2U of rack space, it frees surrounding bays for additional storage or networking cards while the integrated SSD handles boot and scratch duties without extra drive trays.

Upgrade path

This system replaces older single-socket servers that top out at lower core counts and memory capacity, delivering a jump when workloads scale beyond 32 cores or 64 GB RAM. It is not suited for buyers who need GPU acceleration, larger local storage arrays or proprietary accelerator cards.

商品特色

  • 64-core Ampere Altra processor handles parallel AI workloads
  • 2 GHz base frequency sustains high-throughput compute
  • 128 GB DDR4-3200 memory feeds large datasets fast
  • 960 GB SSD stores models and checkpoints locally
  • 95 W TDP keeps power draw predictable in dense racks

商品規格

WorkloadAI/ML/HPC Server
CPU TypeAmpere Altra
出貨重量13.61 kg
包裝尺寸876 × 673 × 305 mm

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