GPU Server

A GPU (Graphics Processing Unit) is a processor chip capable of massively parallel computation, originally designed for graphics rendering but now widely used for AI and high-performance computing. A GPU server is a complete system that incorporates one or more GPUs alongside a CPU, memory, storage, networking, and the associated power delivery and cooling systems, purpose-built to run workloads that require GPU acceleration.

When workloads involve massive parallel computation and CPUs become a performance bottleneck, GPU servers are often a more suitable solution. They are well-suited for applications such as machine learning and deep learning model training, complex 3D rendering, and scientific simulation, and are widely deployed across industries including large-scale CSPs, finance, and healthcare.

PCIe is the standard general-purpose GPU interface, offering broad compatibility and easy deployment. HGX is NVIDIA's platform for multi-GPU AI training that leverages NVLink for high-speed interconnects. OAM is an open accelerator module standard designed for high-density deployments and supports multiple vendors including AMD and Intel.