HPE Cray XD685 GPU Compute Node

Brand: HPE | Category: GPUs

SKU: R9G75A | Part #: R9G75A | MPN: R9G75A

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The HPE Cray XD685 GPU Compute Node is a high-density rack-mounted compute node built on liquid cooling technology compatible with HPE Cray EX and XD chassis infrastructure. This AMD EPYC processor-based system supports up to 8 GPU accelerators per node, enabling organizations to consolidate massive parallel workloads into a compact footprint. The node features high-bandwidth GPU fabric for seamless GPU-to-GPU communication within the unit, paired with high-capacity DDR5 system memory designed to handle large AI and HPC workload footprints. Local NVMe SSD storage provides fast scratch and checkpoint capabilities, while high-speed host fabric interconnect options—including InfiniBand HDR/NDR and Ethernet—integrate the node seamlessly into production clusters. Part number R9G75A represents HPE's commitment to delivering enterprise-grade GPU acceleration infrastructure for the most demanding computational challenges.

AI infrastructure teams, HPC simulation engineers, and data analytics organizations procure the XD685 to accelerate training workloads, large-scale inference pipelines, and complex scientific simulations. The node's support for AMD Instinct GPU accelerators and robust memory capacity make it ideal for enterprises scaling deep learning platforms, weather forecasting systems, and multi-petabyte analytics environments. HPE's integration with Performance Cluster Manager and iLO management infrastructure simplifies deployment and operational oversight across heterogeneous cluster environments. Linux operating system support—including RHEL, SLES, and HPE-optimized HPC OS images—ensures compatibility with established enterprise workflows and container-native architectures.

The HPE Cray XD685 (R9G75A) is available worldwide, including across UAE, GCC, EMEA, and APAC regions, making it accessible to distributed enterprise and research organizations. Omnixon Global stocks this system and can support your infrastructure expansion needs. To discuss configuration options, volume pricing, and delivery timelines for your AI or HPC deployment, please submit a request for quotation through Omnixon Global today.