GPU Server

Parallel computing is enabled with accelerators from NVIDIA, AMD, Intel, and others in GPU servers. Both baseboard and PCIe card types are supported, with options for either liquid or air cooling.

Applications Include :

Machine / Deep Learning
Agentic AI
HPC
Data Analytics
Scientific Computing

GPU Server FAQ

What is a GPU server?

A GPU server is a server built around GPU compute as its primary resource. Unlike a general-purpose server where the CPU handles most workloads, a GPU server is architected so that GPUs take on the heavy lifting for parallel processing tasks. High-end GPU servers can house multiple GPUs, sometimes eight or more, and are designed to keep those GPUs fed with data through fast storage and high-speed networking.

What is the difference between a GPU and a 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 do you need a GPU server?

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.

What are the differences between PCIe, HGX, and OAM GPU architectures?

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.