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alexandercheema

HN member
Joined
Tue, Jul 16, 2024, 7:42 AM UTC
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168
Public activity
35 items

About alexandercheema

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Recent public activity

  1. comment
    Comment #47580998

    lol bro there is already a big OSS project called exo: https://github.com/exo-explore/exo

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    Comment #46892043

    Isn't Claude Code for Infrastructure just...Claude Code?

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    Comment #46809336

    Is there one for Kimi K2.5?

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    Comment #45618793

    Appreciate you checking back so often. We have some exciting plans. Keep checking and it won't be long before something pops up :)

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    Comment #45618786

    Yes, these models are mostly compute-bound so benefit even more from the compute on the DGX Spark.

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    Comment #45618772

    Blog author here. Actually, no. The model can be streamed into the DGX Spark, so we can run prefill of models much larger than 128GB (e.g. DeepSeek R1) on the DGX Spark. This featu…

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  12. comment
    Comment #41733068

    exo maintainer here. tgtweak is correct. This looks like potentially some promising research that I'm looking into reproducing now. We want to lower the barrier to running large mo…

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  17. comment
    Comment #40993065

    Not yet, should I make an issue for it?

  18. comment
    Comment #40988909

    This is fixed now, with these commits: - https://github.com/exo-explore/exo/commit/dbbc7be57fb1871d2b... - https://github.com/exo-explore/exo/commit/ce46f000591d8d59c1... Please ke…

  19. comment
    Comment #40982483

    Do you mean with Apple Intelligence? You can already query models you host from Apple using exo or even just local on-device inference.

  20. comment
    Comment #40981532

    Try it out - don't trust me! The way this works is that each device holds a partition of the model (for now a continuous set of layers). E.g. let's say you have 3 devices and the m…

  21. comment
    Comment #40981110

    Repo maintainer here. It supports any device tinygrad does, which is a lot. We didn’t expect it to blow up so soon - the repo is still experimental. Internally we’ve mostly been te…

  22. comment
    Comment #40980987

    Thank you for the support! I agree on the cost point, and personally I don’t want to live in a world where all AI runs on H100s in a giant datacenter controlled by one company.

  23. comment
    Comment #40980969

    You’re right. The assumption right now is that you’re running on trusted devices on your own local network. I will add a section in the README.

  24. comment
    Comment #40980941

    That’s where we want to get eventually. There’s a lot of work that needs to be done but I’m confident we’ll get there. Give us 3 months and it’ll be as simple as running Dropbox.

  25. comment
    Comment #40980488

    Could you create a GitHub issue? There's a lot of work we'd like to do to improve this.