Your own model in your own workflow.
Local and GPU-based model environments, API integration and pipelines for time-stamped transcription.
View projectLLM hosting & private AI
Your own AI. In the right environment.
We set up language models locally, on your own infrastructure or on suitable GPU systems, and connect them to your applications and tools.
Typical requirements
- An AI model needs to run in a controlled environment.
- You want to compare different models in practice.
- An application needs its own model endpoint.
What we provide
We review model licensing, data paths, resources and expected usage. Hardware, GPU rental and provider fees are priced separately. Performance and cost are assessed for your specific use case.
Possible applications
Local GPU inference, llama.cpp and GGUF, CUDA, GPU hosting, API proxies, protected connections and internal tool integration.
Implementation examples
Related projects.
Good to know
Questions about LLM hosting.
Do we need our own server?
It depends on the model, usage and operating preferences. Local hardware, your own server and rented GPU resources are possible options.
Is a locally hosted model automatically privacy compliant?
Local hosting alone does not answer that question. Data processing, access, logging, model licensing and the complete application must suit the use case.
Your next step
What would you like to
make possible?
An idea, a specific need or simply a question.
We listen and find the right starting point.
Free initial consultationVia Microsoft Teams.