HPE Cray XD670 8x H200 SXM5 AI System

Brand: HPE | Category: Servers

SKU: HPE-XD670-H200 | Part #: XD670-H200 | MPN: XD670-H200

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About the HPE Cray XD670 8x H200 SXM5 AI System

HPE Cray XD670 8x H200 SXM5 AI System

HPE Cray XD670 — purpose-built 5U HGX H200 system with 1.1TB HBM3e, the flagship for HPC-class AI training.

The HPE Cray XD670 8x H200 SXM5 AI System (part number XD670-H200) is a flagship enterprise AI server distributed worldwide by Omnixon Global. Built around the NVIDIA H200 accelerator family and engineered for production AI infrastructure, it is one of the most-requested platforms for foundation-model training, fine-tuning, and large-scale inference in 2025–2026.

Perfect for

  • frontier model training (Cray XD scale)
  • national-lab HPC + AI hybrid
  • large enterprise AI labs
  • pharmaceutical / climate modeling

Technical specifications

GPU8× NVIDIA H200 SXM5 141GB HBM3e (1.1TB aggregate)
CPU2× Intel Xeon Scalable 5th Gen, up to 64 cores each
Memory32× DDR5-5600 DIMM slots, max 8TB
Storage8× E1.S NVMe + 2× M.2 boot
GPU InterconnectNVLink 4.0, 900 GB/s
Network8× PCIe 5.0 slots, ConnectX-7 400GbE supported
Power6× 3000W Titanium redundant
CoolingAir-cooled (DLC option available)
Form Factor5U rackmount
ManagementHPE iLO 6 + Cray System Management

Frequently asked questions

Is this a brand product?

Yes. Every unit ships, serial registration, and the official software/firmware stack.

What's the typical lead time for delivery?

Lead time depends on the configuration and current stock position. Submit an RFQ with your destination and our team will confirm availability for your order.

Can you supply this in a multi-node training cluster configuration?

Yes. We routinely deliver 8-node, 16-node, and 32-node H200 clusters with NVIDIA Quantum-2 InfiniBand or Spectrum-X Ethernet fabrics, parallel storage (DDN, VAST, Weka, Pure FlashBlade//E), and full rack/power/cooling design. Send your training-cluster BOM and we'll respond with a complete priced design.

Need a quote, BOM review, or rack-scale design?

Omnixon Global engineers configure full AI clusters — networking, storage, cooling, racks, deployment.

Request a Quote → Or talk to an engineer

Buying from Omnixon Global

Omnixon Global supplies enterprise IT hardware. Request a quote or contact our team for project design and Bill-of-Materials review.

Technical Specifications

BrandHPE
CategoryServers
SKUHPE-XD670-H200
Part NumberXD670-H200
ConditionNew
Form Factor5U
InterfacePCIe Gen5
GPU Support8× NVIDIA H200 SXM5 141GB HBM3e (1.1TB aggregate)
RAID SupportH200
GPU Count8x
AI OptimizedYes
Processor2× Intel Xeon Scalable 5th Gen, up to 64 cores each
Max Memory32× DDR5-5600 DIMM slots, max 8TB
Drive Bays8× E1.S NVMe + 2× M.2 boot
GPU InterconnectNVLink 4.0, 900 GB/s
Network8× PCIe 5.0 slots, ConnectX-7 400GbE supported
Power Supply6× 3000W Titanium redundant
CoolingAir-cooled (DLC option available)
Form Factor5U rackmount
ManagementHPE iLO 6 + Cray System Management

Frequently Asked Questions about HPE Cray XD670 8x H200 SXM5 AI System

What does the HPE Cray XD670 8x H200 SXM5 AI System do?

The HPE Cray XD670 8x H200 SXM5 AI System is built for enterprise data-center workloads — virtualization (VMware, Proxmox, Nutanix), private cloud, database hosting, and AI/ML training. Its 5U Rack Server form factor fits standard EIA-310 server racks and supports redundant PSUs and hot-swap drives common in production environments.

What are the headline specs of the HPE Cray XD670 8x H200 SXM5 AI System?

Key specifications for the HPE Cray XD670 8x H200 SXM5 AI System: form factor 5U Rack Server; 3 years support; new condition; gpu 8× NVIDIA H200 SXM5 141GB HBM3e (1.1TB aggregate); cpu 2× Intel Xeon Scalable 5th Gen, up to 64 cores each; memory 32× DDR5-5600 DIMM slots, max 8TB; storage 8× E1.S NVMe + 2× M.2 boot; gpu interconnect NVLink 4.0, 900 GB/s; network 8× PCIe 5.0 slots, ConnectX-7 400GbE supported. Manufacturer part number XD670-H200. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.