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GIGABYTE G294-Z42-AAP2 HPC/AI Server - AMD EPYC™ 9005/9004 - 2U DP 8 x PCIe Gen5 GPUs (with PCIe switches)

  • Supports up to 8 x Dual slot Gen5 GPUs
  • Supports 4 x NVIDIA H200 NVL PCIe GPUs with 2-way NVLink bridges
  • Dual AMD EPYC™ 9005/9004 Series Processors
  • 12-Channel DDR5 RDIMM, 24 x DIMMs
  • Dual ROM Architecture
  • 2 x 10Gb/s LAN ports via Broadcom® BCM57416
  • 4 x 2.5" Gen5 NVMe/SATA/SAS-4 hot-swap bays
  • 4 x 2.5" SATA/SAS-4 hot-swap bays
  • 8 x FHFL PCIe Gen5 x16 for GPUs
  • 2 x LP PCIe Gen5 x16 slots for add-in cards
  • Dual 3000W 80 PLUS Titanium redundant power supply
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Warranty & Returns

Warranty, Returns, And Additional Information

Warranty

  • Limited Warranty period (parts): 3 years
  • 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 GIGABYTE G294-Z42-AAP2 is a 2U dual-socket HPC/AI server barebones platform for data centers and research teams building GPU-accelerated systems, with support for up to eight dual-slot PCIe Gen5 GPUs and AMD EPYC 9005 or 9004 processors.

Recommended For

  • AI infrastructure teams serving inference workloads across separate GPU workers or replicas, especially teams planning a qualified four-GPU H200 NVL setup with two bridged GPU pairs.
  • VFX, media, and visualization teams that need a rack-mounted PCIe GPU node for rendering or remote graphics workflows using supported accelerator configurations.
  • HPC and simulation teams whose applications have been tested on the selected PCIe accelerators and can use GPUs independently or in limited peer-connected groups.
  • Data-center teams building dense GPU compute capacity in a rack and able to plan for the server’s power input, airflow, rack depth, and workload-specific configuration.

Spec Summary

AttributeValue
Best ForHPC and AI server workloads