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Supermicro AS -4125GS-TNRT Server Barebone, Dual Socket SP5 AMD EPYC™ 9004 Series Processors (the latest AMD EPYC™ 9004 Series Processor with AMD 3D V-Cache™ Technology)

  • AI / Deep Learning• High Performance Computing
  • Flexible GPU support: active & passive GPUs up to 8 direct attached double width, full length GPUs
  • Dual-Socket, AMD EPYC™ 9004 Series Processors up to 400W TDP
  • 24 DIMM Slots, up to 6TB DDR5 memory
  • 1 M.2 Slot up to 4x 2.5" Hot-swap NVMe drive bays
  • AIOM / OCP 3.0 Support
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Learn more about the Detailed Specifications

General
Workload AI/ML/HPC
CPU Supported
CPU Type AMD EPYC 9004 Series
CPU Socket Dual Socket SP5
Additional Information
First Listed on Newegg March 07, 2024

Warranty & Returns

Warranty, Returns, And Additional Information

Warranty

  • Limited Warranty period (parts): 1 year
  • Limited Warranty period (labor): 3 years
  • Read full details

Return Policies

    We want to ensure your holiday shopping this year is hassle-free. That’s why we’re automatically extending our return policies on almost every product! For purchases placed between November 1st, 2026 and December 31, 2026 you will have until January 31, 2027 to return your product.

  • Return for refund until: January 31, 2027
  • Return for replacement until: January 31, 2027
  • This item is covered by Newegg.com's Extended Holiday Return Policy.
  • Read full return policy for details.
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The Supermicro AS-4125GS-TNRT is a dual-socket SP5 server barebone for AI, deep learning, and HPC deployments, with support for AMD EPYC 9004 Series processors, up to eight double-width GPUs, and up to 6TB of DDR5 memory.

Recommended For

  • AI and deep-learning teams training or testing models across multiple PCIe GPUs; StorageReview tested the system with four RTX A6000 GPUs and four H100 GPUs for model-training workloads.
  • HPC and engineering or scientific research groups running compute-heavy workloads that benefit from dual EPYC processors and multiple directly attached GPUs.
  • Organizations building shared GPU compute or VDI infrastructure, where workloads run on a rack server and users connect remotely rather than working at the machine.
  • Teams that need to expand or change accelerator configurations over time, including workloads that use supported NVIDIA or AMD PCIe GPUs.

Spec Summary

AttributeValue
Best ForAI, machine learning, and high-performance computing workloads
Processor And PlatformSupports AMD EPYC 9004 Series processors on a dual-socket SP5 platform