AMD Instinct MI250X 128GB OAM GPU for HPE Cray EX235a Blade

The AMD Instinct MI250X 128GB OAM GPU for HPE Cray EX235a Blade (P53871-B21) is a high-performance accelerator built on AMD's CDNA2 architecture, designed specifically for large-scale HPC and AI/ML workloads in open-standard OCP Accelerator Module (OAM) form factor. Each MI250X package integrates two GPU dies connected via AMD Infinity Fabric, delivering a combined 128GB of High Bandwidth Memory 2e (HBM2e) and exceptional double-precision floating-point throughput suited to the most demanding scientific computing environments.

Engineered for deployment within the HPE Cray EX235a accelerator blade, the MI250X leverages the blade's liquid-cooled infrastructure to sustain peak computational performance at data center scale. The accelerator supports AMD ROCm open software ecosystem, enabling portability of HPC and AI frameworks including TensorFlow, PyTorch, and OpenMP/OpenCL workloads. With support for bfloat16, FP16, FP32, and FP64 precisions, the MI250X addresses the full spectrum from training large language models to running high-fidelity physics simulations.

The MI250X is purpose-built for tightly integrated, rack-scale supercomputing systems and has been deployed in some of the world's leading national laboratory and hyperscale HPC environments. Its OAM form factor and coherent CPU-GPU interconnect via AMD Infinity Fabric links to the host processor enable high-bandwidth, low-latency data movement critical for multi-node distributed computing. Omnixon Global supplies this HPE-branded solution to enterprise, government, and research customers across UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale AI and deep learning model training, including transformer-based large language models requiring high HBM bandwidth and FP16/BF16 throughput
• High-performance computing (HPC) scientific simulations such as molecular dynamics, computational fluid dynamics, and climate modeling demanding sustained FP64 performance
• Multi-node distributed training workloads on HPE Cray EX supercomputing clusters leveraging NVLink-class GPU-to-GPU communication via AMD Infinity Fabric
• Seismic processing and reservoir simulation in energy sector deployments requiring massive parallel floating-point computation
• Government and national laboratory research workloads on TOP500-class supercomputers using liquid-cooled HPE Cray EX infrastructure
• Inference at scale for large AI models in sovereign cloud and enterprise datacenter environments requiring high memory capacity per accelerator

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.