HPC Servers

HPC Server Models by Computing Priority

Compare representative HPC servers by accelerator capability, CPU and memory scalability, node density, and cluster expansion requirements.

What to Check Before Choosing an HPC Server

Match the server architecture to the application. CPU-based HPC workloads require strong processor and memory performance, while GPU-accelerated workloads require compatible GPUs, sufficient PCIe bandwidth, high-speed interconnects, and adequate power and cooling.

For cluster deployments, also confirm node density, network adapters, RDMA or GPUDirect support, storage performance, operating system compatibility, scheduling software, and the exact factory configuration of the selected SKU.