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.
How it runs on your site
Train on your data with managed fine-tuning jobs on Nucleus GPUs. When the checkpoint is right, Nucleus builds the machines with it loaded and installs them in your server room. Your applications then call an endpoint on your LAN.
Results from LLMs powered by Nucleus
Downtime prevented this month, from Predictive Maintenance
Advance notice on a failure, from Predictive Maintenance
Incidents past their four-hour SLA, from Critical Incident Response
From site reading to client report, from Real-Time Field Data Collection
Workflows powered by a Nucleus-trained model
Line 3's next failure, booked into the maintenance window
Every incident past its four-hour SLA, escalated by name
Cable survey readings processed while the crew was still on site
What comes with the hardware
The hardware
- Sized to your throughput
- A single tower to a full rack
- Delivered, installed and burnt in by Nucleus
- Scheduled maintenance on site
The model
- Fine-tuned on your data on Nucleus
- Pre-loaded before delivery
- Model updates delivered on site
- Checkpoints export as a LoRA adapter, merged safetensors or GGUF
The endpoint
- OpenAI-compatible
- Reachable only from your network
- Your existing OpenAI client with a new base URL
- Health and GPU utilisation from the same endpoint
Security
- Prompts and completions stay on your network
- Weights only on hardware you control
- Runs fully air-gapped when required
- No runtime connection back to Nucleus
Run Nucleus in your own environment
Platform licence
Private and on-prem deployment. Built for data-residency and air-gapped requirements. Hardware is billed separately.
More in Deploy
Harness
Permissions, scoped keys and audit
Tool use
Your private APIs as skills
MCP
Your model in your tools
RAG
Answers from your documents
Webhooks
Signed events to your systems
Read on
Bring the model to the data
Tell us the workload and the room it has to run in.