This is an abstract curiosity. Let’s say I want to use an old laptop to run a LLM AI. I assume I would still need pytorch, transformers, etc. What is the absolute minimum system configuration required to avoid overhead such as schedulers, kernel threads, virtual memory, etc. Are there options to expose the bare metal and use a networked machine to manage overhead? Maybe a way to connect the extra machine as if it is an extra CPU socket or NUMA module? Basically, I want to turn an entire system into a dedicated AI compute module.

Create a post

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don’t control.

Rules:

  1. Be civil: we’re here to support and learn from one another. Insults won’t be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it’s not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don’t duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

  • 1 user online
  • 76 users / day
  • 109 users / week
  • 241 users / month
  • 850 users / 6 months
  • 1 subscriber
  • 1.53K Posts
  • 8.72K Comments
  • Modlog