Open-Source Rust Project Runs 70B Models Across Multiple Machines
Shruti_0810 · x · 2026-07-14
A new open-source Rust project argues against the default assumption that "running large models requires buying larger single-card GPUs." Its approach is to combine multiple existing machines into a local inference cluster: - If a single machine can hold the model, it runs locally. - If one machine isn't enough, it's handed off to another. - If no single machine can hold it, the model is distributed across multiple devices for inference via **Skippy stage splits**. The author highlights that this means old gaming PCs, idle workstations, and even dusty servers can join forces for inference. The project is written in Rust and is fully open-source.
Related event: Open Source Project Runs 70B Models Without High-End GPUs(2 posts)→
More from Infra
- Larry Fink says China is ahead in the AI energy race, citing 100 GW nuclear buildout — rohanpaul_ai · 2026-07-21
- Local AI may pay back in 6–7 years and cut long-term costs by 30–40% — DavidLinthicum · 2026-07-21
- TSMC reportedly plans up to 10% chipmaking price hikes in 2027 — kimmonismus · 2026-07-21
- More open models and llama.cpp updates are coming, says Merve Noyan — mervenoyann · 2026-07-21
- Why adding a second LLM provider breaks more than the API surface — Ok_Extension6373 · 2026-07-21
- UK AI datacentres face backlash over heat, noise and land use — nordicinst · 2026-07-21