Different workloads. A physical foundation.

A dedicated physical cluster for teams that need single-tenant fabric and bare-metal control over training and fine-tuning runs.

Reserved capacity for predictable, high-volume inference services. Plan around the workload, the hardware configuration, and the operating boundary.

Whole-pod capacity for neoclouds and GPU marketplaces evaluating multi-year offtake. Define the cluster, deployment site, and acceptance requirements together.

Bring the hardware you own. Assess its fit against the power, direct-to-chip cooling, network, and operating environment before planning the deployment.

Evaluate bridge capacity while power or construction work continues at the permanent site. Redeployment paths and terms are confirmed individually.

Managed on-prem GPU infrastructure can physically bound controlled unclassified information and reduce infrastructure assessment scope. Certification remains a separate process.