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@diffuse-systems

Diffuse Systems

Private AI infrastructure for organisations that cannot send their data to the cloud

Diffuse

AI that stays inside.


Some organisations cannot send their data to a hosted AI service. Contracts, patient records, internal procedures, research corpora: audited, regulated, and not allowed to leave the network.

Most of them already own the hardware. It just sits idle at night.


Diffuse Enterprise turns that hardware into private AI capacity.

  • Serve -> an OpenAI-compatible endpoint on your own network. Existing applications change two lines.
  • Fine-tune -> train a model on your internal documents, on your machines.
  • Distil -> compress a large model into a small one that runs on modest hardware.

Every machine holds a certificate. Every access is revocable. Every action, including every refusal, lands in a trail an auditor can read. Prompt content is never recorded.

Two commands to install. Works with no internet route at all, including to us.


Darmstadt, Germany  ·  Documentation  ·  Contact

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  1. diffuse diffuse Public

    Distributed peer-to-peer LLM inference. Your prompt never leaves your device in clear text.

    Rust 29 3

  2. diffuse-chat diffuse-chat Public

    One-command chat front end for Diffuse Enterprise. Pinned LibreChat deployment with developer and enterprise profiles, per-user identity, and a built-in doctor

    Python 2

  3. .github .github Public

  4. website website Public

    diffuse main website

    HTML

  5. docs docs Public

    diffuse docs

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  6. releases releases Public

    fficial release artifacts for Diffuse Enterprise. Debian packages and checksums. Documentation: docs.diffuse-systems.com

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