Running large AI models usually means renting someone else’s hardware, accepting someone else’s pricing, and hoping that the model you depend on doesn’t quietly change overnight. Mesh LLM is built around a different premise: that distributed AI computing across machines you already own can replace that entire arrangement — and expose it all through a single, familiar API.
Key takeaways
Mesh LLM pools GPUs and memory from multiple machines into a single distributed AI computing mesh, accessible through one OpenAI-compatible API at localhost:9337/v1.
Models can run locally, be routed to a peer, or be split across machines using a pipeline mode called “Skippy” — without the client ever knowing the difference.
Networking relies on iroh endpoints, which establish public-key authenticated, NAT-traversing QUIC connections with no central server required.
The model catalog ships with more than 40 models, ranging from sub-billion-parameter models to 235 billion param
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