HPE Cray XD670 AI Server (Gen2 configuration)
Brand: HPE | Category: GPUs
SKU: R9K58A | Part #: R9K58A | MPN: R9K58A
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About the HPE Cray XD670 AI Server (Gen2 configuration)
The HPE Cray XD670 AI Server (Gen2 configuration, part number R9K58A) is purpose-built for large-scale AI training, inference, and HPC workloads, delivering exceptional GPU density through its eight double-wide accelerator slots and dual high-core-count x86 processor architecture. This 4U rack server combines enterprise-grade reliability with the computational muscle required for modern deep learning pipelines, large language model inference, and scientific computing environments.
Designed for data center and AI factory deployments, the XD670 Gen2 features a rear-facing GPU topology optimized for high-density forced-air cooling, ensuring sustained performance in demanding environments. Its DDR5 RDIMM architecture supports up to 24 DIMM slots for memory-intensive workloads, while HPE Slingshot 200Gb/s and InfiniBand HDR/NDR fabric support enable seamless multi-node orchestration. Network engineers and AI infrastructure teams benefit from integrated HPE iLO management, Redfish API compliance, and HPE GreenLake cloud integration for simplified lifecycle and cost oversight. The redundant high-efficiency power supplies ensure operational resilience across extended compute campaigns.
Key Specifications
- Model: HPE Cray XD670 AI Server (Gen2 configuration)
- Part Number: R9K58A
- GPU Accelerator Slots: Up to 8 double-wide PCIe SXM / OAM GPU accelerators
- Memory: Up to 24 DDR5 RDIMM slots (12 per socket)
- Network Fabric: HPE Slingshot 200Gb/s, InfiniBand HDR/NDR compatible
- Form Factor: 4U rack server with rear-facing GPU topology and high-density cooling
Contact Omnixon Global for a detailed RFQ on the HPE Cray XD670 and configure a system tailored to your AI and HPC requirements.
Technical Specifications
| Brand | HPE |
| Category | GPUs |
| SKU | R9K58A |
| Part Number | R9K58A |
| Condition | New |
| Manufacturer Part Number | R9K58A |
| Product Line | HPE Cray XD Series |
| Model | HPE Cray XD670 AI Server (Gen2 configuration) |
| Form Factor | 4U Rack Server |
| GPU Accelerator Slots | Up to 8 double-wide GPU accelerators |
| GPU Form Factor | PCIe SXM / double-wide OAM depending on accelerator type |
| Processor Support | Dual-socket high-core-count x86 server processors |
| Memory Type | DDR5 RDIMM |
| Memory Slots | Up to 24 DIMM slots (12 per socket) |
| Storage | Internal NVMe SSD boot and local storage options |
| Network Fabric Support | HPE Slingshot 200Gb/s; InfiniBand HDR/NDR compatible |
| Chassis Airflow Design | Rear-facing GPU topology with high-density forced-air cooling |
| Management Controller | HPE iLO (Integrated Lights-Out) |
| Systems Management API | Redfish-compliant; HPE GreenLake integration |
| Power Supply | Redundant high-efficiency power supplies (configuration-dependent) |
| Chassis Height | 4U (7 inches) |
| Target Environment | Data center, AI factory, HPC cluster |
Frequently Asked Questions about HPE Cray XD670 AI Server (Gen2 configuration)
What server platforms accept the HPE Cray XD670 AI Server (Gen2 configuration)?
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
How long is the lead time on AI GPUs?
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Can you help with NVIDIA AI Enterprise licensing?
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.