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b4rtaz/distributed-llama

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Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

16 mentions on Hacker News by 10 people: 11 stories, 5 comments · first 2024-01-20 · latest 2026-02-12

Mentions per year 16 mentions · busiest year 2024 (9)
20082026
  1. There's a couple of alternatives to exo it seems https://github.com/b4rtaz/distributed-llama and https://github.com/ray-project/ray
  2. https://github.com/b4rtaz/distributed-llama ?
  3. …https://github.com/mozilla-Ocho/llamafile https://justine.lol/matmul/ and parallelize them with https://github.com/b4rtaz/distributed-llama Obviously this needs some knowledge of the command line, so get a good terminal emulator like…
  4. …a bit of info on the project page. It's CPU only, which is why GPU and VRAM is never mentioned: https://github.com/b4rtaz/distributed-llama I'm using an old x99 board for my desktop currently. If I swap out the i7 with a Xeon it can take…
  5. Or maybe using Distributed Llama? https://github.com/b4rtaz/distributed-llama
    comment by niutech · 2024-07-26 · in Llama 3.1