Mesh LLM Lets You Run 235B AI Models Without the Cloud
Mesh LLM pools idle GPUs across machines into one OpenAI-compatible API. Launched July 11, it hit 16 tok/s on Qwen 235B — with one big privacy caveat. The post Mesh LLM Lets You Run 235B AI Models…
Read the full articleYou might also wanna read
Mesh LLM Needs Failure Planning, Not Just Free GPUs, Experts Warn
Mesh LLM, an OpenAI-compatible API capable of running locally or distributing model layers across multiple machines, gained significant trac
Mesh LLM enables distributed AI inference by pooling GPUs across machines via iroh
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.
Mesh LLM enables distributed AI inference by pooling GPUs across machines via iroh
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.

Mesh LLM: Run 235B Models Across Your Home Lab with iroh
A new distributed inference system pools GPU resources across multiple machines and exposes them through a single OpenAI-compatible API. No
Mesh LLM: Peer-to-Peer Inference Cloud for Running Open AI Models
Turn spare capacity into an auto-configured p2p inference cloud. Serve many models, access your private models from anywhere, or share compu
Mesh-LLM: Distributed LLM Inference System Using llama.cpp Across Multiple Machines
reference impl with llama.cpp compiled to distributed inference across machines, with real end to end demo - michaelneale/mesh-llm
Mesh LLM Brings Distributed AI Computing to the Iroh Network
A new project called Mesh LLM enables distributed AI inference by running large language models across multiple nodes using the Iroh network

Comments
Sign in to join the conversation.
No comments yet. Be the first.