On-Premise Deployment

Your fine-tuned LLM,running on your site

Nucleus delivers GPU hardware to your premises, pre-loaded with a model fine-tuned on your data. Your team gets a private inference endpoint on your own network, and nothing ever leaves the building.

Dedicated GPU hardware

Servers sized to your workload, delivered and installed on your premises

Your model, pre-loaded

Hardware arrives running an LLM fine-tuned on your data, ready on day one

Fully air-gapped

Inference runs on your LAN with no connection back to Nucleus

Managed by Nucleus

We install the stack, monitor the hardware, and deliver model updates on site

Fine-tune on Nucleus

Train on your data with managed fine-tuning jobs on Nucleus GPUs. Iterate on checkpoints and evaluations until the model is right.

We deploy the hardware

Nucleus sizes the GPUs to your workload, builds the machines, and installs them in your server room with the model already loaded.

Serve on your network

Your applications call an OpenAI-compatible endpoint on your LAN. Prompts, completions, and weights never leave the building.

Deployed where your data lives

From a single tower in a comms room to a full rack in your data centre, we size the hardware to your throughput and install it where your policies require.

Nucleus engineers handle delivery, installation, and burn-in, then hand over a running endpoint. Scheduled maintenance and model updates happen on site, on your terms.

A local endpoint, not a cloud API

The hardware exposes an OpenAI-compatible API that is only reachable from your network. Point your existing clients at a local address, keep every prompt on site, and monitor the GPUs from the same endpoint.

Security

Built for data that cannot leave

Some workloads are on-premise because they have to be: regulated data, strict residency, classified environments. The entire inference path, from weights to prompts to completions, stays on hardware you physically control.

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  • Prompts and completions stay on your network

  • Weights live only on hardware you control

  • Runs fully air-gapped when required

  • No runtime connection back to Nucleus

Own the model, not just the output