Story
Mesh LLM: distributed AI computing on iroh
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Overview
Mesh LLM enables distributed AI computing on the iroh platform, allowing teams to run large language models without relying on centralized data centers. This setup provides greater control over model updates, data privacy, and operational costs.
Summary from iroh.computer.
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Community reactions
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Hacker News · iroh.computer
Hacker News discussion ↗
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Based on 5 sampled comments from this thread. Analyzed 2026-07-12.
- Praise: The Mesh LLM's ability to split large models across nodes is a game-changer for leveraging existing hardware and democratizing access to powerful AI.
- Praise: Comments highlight the impressive potential of bringing together diverse hardware setups, showcasing innovation in distributed AI computing.
- Praise: The performance of Qwen 235B A22B at 16 tokens per second across two nodes is noted as a respectable speed for a split model, indicating that there is viable performance in this approach.
- Concern: Skeptics point out that distributed computing over consumer networks is painfully slow compared to local RAM and disks, raising concerns about usability for interactive applications.
- Concern: There’s a notable lack of performance information shared about Mesh LLM, leaving users guessing about its efficiency compared to other methods.
- Concern: Concerns about security and encryption in a public mesh setup are voiced, as users wonder about the risks of accepting inputs from anyone.