# exo

15 Hacker News commenters recommended exo and 3 criticized it, November 2025 to November 2026. It was recommended in 9 of 13 months. It meets the Hacker Approved badge rule.

**Verdict:** People recommend exo for pooling everyday devices, such as Mac Studios and DGX Sparks, into one cluster for running large local AI models. Its slow single-request speed is the main caveat.

## Why people recommend it

- Pools devices into one AI cluster (6 comments): "You can do local AI inference and get Claude Opus-level performance (Kimi K2.5) over a cluster of Mac Studios with Exo.Labs" ([source](https://news.ycombinator.com/item?id=47085906)) "That's why Exo coupled DGX Spark (5090 performance for FP4) with MacStudio and sped it up 4x." ([source](https://news.ycombinator.com/item?id=46330625)) "EXO lets you run your own AI cluster at home with everyday devices." ([source](https://news.ycombinator.com/item?id=46313477))
- Strong fit with Apple Silicon (3 comments): "Exo, and the teams at Apple that built the foundations Exo uses, actually use modern distributed compute." ([source](https://news.ycombinator.com/item?id=50071927)) "the insanse community work on Apple Silicon across whisper.cpp/mflux/llama.cpp/MLX/Exo" ([source](https://news.ycombinator.com/item?id=50042756)) "between Apple Silicon and Exo there are some amazingly solutions out there" ([source](https://news.ycombinator.com/item?id=47818892))

## Alternatives hackers recommend

- [vLLM](https://hackerapproved.com/p/vllm.md): 112 recommend
- [Strata](https://hackerapproved.com/p/strata.md): 31 recommend
- [DwarfStar 4](https://hackerapproved.com/p/dwarfstar.md): 26 recommend
- [SGLang](https://hackerapproved.com/p/sglang.md): 19 recommend
- [ninfer](https://hackerapproved.com/p/ninfer.md): 16 recommend

## Cite as

Hacker Approved, "exo", https://hackerapproved.com/p/exo/ (counts from 1,795,640 Hacker News comments, November 2025 to November 2026).
