Sovereign AI, on your data
Your models, your data, your perimeter
Serve AI models on your own cluster's GPUs: generation, embeddings and document OCR, ready to use with the vLLM and HuggingFace runtimes, or through optional external models. A single OpenAI-compatible endpoint, per-team API keys and consumption tracking, all the way to air-gapped networks.
Specifications
Model serving
On your cluster's GPUs
Shared models
Generation, embeddings, OCR
Runtimes
vLLM, HuggingFace, external models
Single endpoint
OpenAI-compatible
API keys
Per team
Consumption
Tracked in the console
Use cases
Serve your models on your GPUs
Deploy recent open generation models on your own cluster's GPUs and expose them to all your applications through a single OpenAI-compatible endpoint.
OpenAI-compatibleEmbeddings and OCR ready to use
Shared models cover text generation, embeddings and document OCR, with nothing to provision. External models are available as an option.
Shared modelsYour AI assistants on your data
Plug your AI assistants and agents into your tables through the Data APIs MCP endpoint, and ask questions in natural language with the Dashboards copilot.
Via MCPIn action
The team plugging its application into AI
A product team wants to add generation without sending data outside its perimeter
- 1 Pick a shared model or serve one on your GPUs
- 2 Create an API key dedicated to the team
- 3 Point the application at the OpenAI-compatible endpoint
- 4 Track the key's consumption in the console
The application uses AI, data stays inside your perimeter
The analyst querying their data
An analyst wants to explore sales without writing SQL
- 1 Open Dashboards in the console
- 2 Ask the copilot a question in natural language
- 3 The copilot builds the answer on your governed tables
- 4 Pin the answer to the dashboard
Answer obtained without exporting a single record
Key benefits
Ready to put AI to work on your data?
Discover how Hyperfluid sovereign AI leverages your information assets, without compromising them.
Request a demo