AI Inference | Private LLM
Language models,
inside your boundary.
Run open models in your own datacenter or on the device itself. Prompts and outputs stay inside your network, and Supercloud keeps the models served and up to date.
Where it runs
Your datacenter, or the device itself
Your data
Prompts and outputs stay inside your network
Models
Chosen with your team
Everything stays inside your boundary
Your applications call an endpoint on your own network. Prompts, documents and answers stay on machines you control.
What you get
Your data stays yours
Prompts, documents and outputs stay on your machines and aren’t used to train models.
From the datacenter to the device
Serve larger models on your own servers and smaller ones on devices that have to work offline.
Run like a managed service
Supercloud deploys, updates and watches the models, so your team doesn’t run inference servers by hand.
The same call, on your own network
Applications send requests in the chat-completions format most SDKs already speak.
Open models you choose
Pick open chat, code and embedding models, or bring a fine-tune of your own.
Keys and roles
Project roles decide who can deploy a model and which keys can call it.
Usage in the console
Follow requests and token usage per application and per model.
FAQ
How is it different from Token Factory?
Token Factory serves open models from our cloud through one API. Private LLM serves them on your own infrastructure or on the device, so requests stay on your network.
Which hardware does it run on?
Tell us what you have and we’ll confirm what fits.
Can it run without internet access?
Tell us how your network is set up and we’ll walk you through it.