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GIGABYTE XL44-SX0-AAS2 NVIDIA MGX™ Server - Intel® Xeon® 6 Processors - 4U DP 8 x PCIe Gen5 GPUs

  • Supports up to 8 x Dual slot Gen5 GPUs
  • Dual Intel® Xeon® 6700/6500-Series Processors
  • 8-Channel DDR5 RDIMM/MRDIMM, 32 x DIMMs
  • 2 x 10Gb/s LAN ports via Intel® X710-AT2
  • 4 x 2.5" Gen5 NVMe hot-swap bays
  • 2 x M.2 slots with PCIe Gen4 x2 interface
  • 8 x FHFL PCIe Gen5 x16 slots for GPUs
  • 1 x FHFL PCIe Gen5 x16 slot
  • 4 x 3200W 80 PLUS Titanium redundant power supplies
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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 XL44-SX0-AAS2 is a 4U NVIDIA MGX server barebone for organizations building AI training or inference systems, with support for dual Intel Xeon 6700/6500-series processors and up to eight dual-slot PCIe Gen5 GPUs.

Recommended For

  • Enterprise AI teams building multi-GPU training or inference nodes that need room for up to eight PCIe GPUs, dual Xeon 6 processors, and large DDR5 memory capacity.
  • HPC and simulation teams running GPU-accelerated scientific or engineering workloads that benefit from multiple PCIe accelerators in a rack-mounted server.
  • Data-center operators adding a GPU compute node to an existing rack environment with suitable power, cooling, and server-management infrastructure.
  • System integrators configuring an MGX-based platform for visual computing or other accelerated workloads, with the flexibility to select compatible CPUs, memory, and GPUs for the deployment.

Spec Summary

AttributeValue
Best ForOrganizations building high-density GPU server systems for compute-intensive workloads