What Is GPU Cluster?_
A GPU cluster is a networked group of GPU-equipped servers working together on parallel computing tasks such as AI model training, scientific simulation, or rendering. Clusters range from a few nodes (tens of GPUs) to hyperscale deployments (tens of thousands of GPUs). The performance of a GPU cluster depends equally on compute hardware, network fabric, and the physical infrastructure supporting both.
Technical Details
GPU clusters consist of compute nodes (GPU servers), a high-speed interconnect fabric (InfiniBand or high-speed Ethernet), storage systems (parallel file systems like Lustre or GPFS), management infrastructure (BMC/IPMI networks, job schedulers), and physical infrastructure (racks, cabling, power, cooling). The cluster's effective performance depends on network topology (fat-tree or leaf-spine providing full bisection bandwidth), cable quality (insertion loss affecting signal integrity at high speeds), cooling capacity (maintaining GPU temperatures within operating range under sustained load), and power reliability (redundant feeds to prevent single points of failure). Scaling a GPU cluster requires proportional scaling of all supporting infrastructure.
How Leviathan Systems Works with GPU Cluster
Leviathan Systems deploys GPU cluster infrastructure from single-rack installations to hyperscale facilities with thousands of racks, covering the physical layer that makes cluster-scale computing possible.