HPE Cray Supercomputing EX4252 Blade

The HPE Cray Supercomputing EX4252 Blade is a purpose-built high-performance compute blade designed for integration within the HPE Cray EX supercomputing platform. It features dual AMD EPYC processors from the latest generation, delivering exceptional core counts and memory bandwidth optimized for massively parallel scientific and engineering workloads. The blade architecture leverages HPE's direct liquid cooling (DLC) technology, enabling full thermal management without air-cooling overhead, which allows extreme compute density within standard HPE Cray EX cabinets.

The EX4252 is architected to support the most demanding HPC, AI, and data-intensive simulation workloads at scale. Each blade slot supports high-speed PCIe fabric interconnects and is compatible with the HPE Slingshot high-performance network fabric, delivering low-latency, high-bandwidth communication between compute nodes essential for tightly coupled parallel applications such as computational fluid dynamics, molecular dynamics, and climate modeling simulations.

Notable for its power efficiency per FLOP and its rack-level density, the EX4252 integrates seamlessly with the HPE Performance Cluster Manager and Cray System Management software stack. Operators benefit from unified telemetry, workload scheduling via native integration with industry-standard job schedulers, and deep firmware-level monitoring. The blade is designed to meet the infrastructure requirements of national laboratories, academic research institutions, defense agencies, and large enterprise HPC centers deploying multi-petaflop environments.

Ideal for

• Large-scale climate and weather modeling simulations requiring sustained petaflop-class compute throughput across thousands of cores
• Computational fluid dynamics (CFD) workloads in aerospace and automotive engineering demanding tightly coupled MPI parallel execution
• AI and deep learning training at scale using distributed frameworks such as PyTorch and TensorFlow across hundreds of liquid-cooled blade nodes
• Genomics and bioinformatics pipelines processing massive datasets in life sciences research environments requiring high memory bandwidth
• Nuclear and materials science simulations at national laboratories and government research agencies needing extreme floating-point performance density
• Seismic data processing and reservoir modeling in energy sector HPC clusters requiring high core counts and fast intra-blade memory throughput

Technical specifications

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