Building an LLM-Optimized Linux Server on a Budget

Articles & guides
,
1
Read the full article: Building an LLM-Optimized Linux Server on a Budget

As advancements in machine learning continue to accelerate and evolve, more individuals and small organizations are exploring how to run language models (LLMs) like DeepSeek, LLaMA, Qwen and others on their home servers. This article recommends a Linux server build that’s LLM-optimized for under $2,000 – a setup that rivals or beats pre-built solutions like Apple’s… continue reading.
3 Likes
3

Great article.

these builds above are faster than even the Mac Studio M4 Ultra 60-core

Typo at the bottom; M4 → M2.

I think it would be worth mentioning that the M4 Max is faster than the M2 Ultra with local LLM even though it has less memory bandwidth. Definitely quite excited for the M4 Ultra to come around; its local LLM performance will probably match or be close to a 4090 I’d imagine.

Framework’s new desktop launch has an AMD chip with unified memory up to 128GB (110GB GPU usable on Linux) for ~$2000. It only has 256Gb/s memory bandwidth though.

1 Like
4

@Relearn4687 welcome to the community. I’ll make that correction. :pray: The first 5 comments are also visible from the blog post front page so your comments will be useful to future readers. Thanks!