On-prem and air-gapped LLM deployment on your own hardware.

• Model selection: open-weights candidates, size and quantization, evaluated against your benchmarks
• Infrastructure design: on-prem hardware sizing, private cloud, or air-gapped deployment
• Security: access controls, audit logging, prompt and output filtering, data residency controls
• Operations runbooks and a path to managed operations

Two phases. Viability study: model selection, infrastructure sizing, security posture. Two to three weeks, fixed scope. Deployment: build, integrate, harden, hand over. Timeline sized to scope.

What is on-prem LLM deployment?

On-prem LLM deployment runs open-weight large language models on your own hardware, or in an air-gapped environment, so data never leaves the building. It covers model selection, infrastructure design, and the security and access controls a regulator requires.

When is an air-gapped or private LLM required instead of a hosted API?

When your data, your users, or your regulator will not allow information to reach a frontier-hosted API. Sovereign deployment is a different engineering practice, not a different vendor.

How does an on-prem LLM engagement start?

With a viability study: model selection, infrastructure sizing, and security posture, scoped over two to three weeks. Deployment then builds, integrates, hardens, and hands over, on a timeline sized to scope.