ZLUDA

CUDA on AMD GPUs (by vosen)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ZLUDA alternative or higher similarity.

ZLUDA reviews and mentions

Posts with mentions or reviews of ZLUDA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.
  • Nvidia Is Now More Valuable Than Amazon and Google
    3 projects | news.ycombinator.com | 12 Feb 2024
    https://github.com/vosen/ZLUDA

    They still funded it and it was created.

    3 projects | news.ycombinator.com | 12 Feb 2024
    Well, you probably read a inaccurate headline about it. The project is called ZLUDA https://github.com/vosen/ZLUDA and it had a recent public update because of the opposite - AMD decide not to continue sponsoring work on it:

    > Shortly thereafter I got in contact with AMD and in early 2022 I have left Intel and signed a ZLUDA development contract with AMD. Once again I was asked for a far-reaching discretion: not to advertise the fact that AMD is evaluating ZLUDA and definitely not to make any commits to the public ZLUDA repo. After two years of development and some deliberation, AMD decided that there is no business case for running CUDA applications on AMD GPUs.

  • AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
    23 projects | news.ycombinator.com | 12 Feb 2024
    Aside from the latest commit, there has been no activity for almost 3 years.

    It makes sense to stop paying for development, when the dev has stopped doing the work, no?

    https://github.com/vosen/ZLUDA/commits/v3

    23 projects | news.ycombinator.com | 12 Feb 2024
    From the same repo, I found this excellent, well-written architecture document: https://github.com/vosen/ZLUDA/blob/master/ARCHITECTURE.md

    I love the direct, "no bullshit" style of writing.

    Some gems:

    > Anyone familiar with C++ will instantly understand that compiling it is a complicated affair.

    > Additionally CUDA allows, to a large degree, mixing CPU code and GPU code. What does all this complexity mean for ZLUDA? Absolutely nothing

    > Since an application can dynamically link to either Driver API or Runtime API, it would seem that ZLUDA needs to provide both. In reality very few applications dynamically link to Runtime API. For the vast majority of applications it's sufficient to provide Driver API for dynamic (runtime) linking.

    23 projects | news.ycombinator.com | 12 Feb 2024
    If only this exact concern was addressed explicitly in the first FAQ at the bottom of the README...

    https://github.com/vosen/ZLUDA/tree/v3?tab=readme-ov-file#fa...

    23 projects | news.ycombinator.com | 12 Feb 2024
    They financed the prior iteration of Zluda: https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq

    but then stopped

    23 projects | news.ycombinator.com | 12 Feb 2024
    This event of release is however a result of AMD stopped funding it per "After two years of development and some deliberation, AMD decided that there is no business case for running CUDA applications on AMD GPUs. One of the terms of my contract with AMD was that if AMD did not find it fit for further development, I could release it. Which brings us to today." from https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq

    so, same mistake intel made before.

    23 projects | news.ycombinator.com | 12 Feb 2024
  • Intel CEO: 'The entire industry is motivated to eliminate the CUDA market'
    13 projects | news.ycombinator.com | 14 Dec 2023
    CUDA is huge and nvidia spent a ton in a lot of "dead end" use cases optimizing it. There have been experiments with CUDA translation layers with decent performance[1]. There are two things that most projects hit:

    1. The CUDA API is huge; I'm sure Intel/AMD will focus on what they need to implement pytorch and ignore every other use case ensuring that CUDA always has the leg up in any new frontier

    2. Nvidia actually cares about developer experience. The most prominent example is Geohotz with tinygrad - where AMD examples didn't even work or had glaring compiler bugs. You will find nvidia engineer in github issues for CUDA projects. Intel/AMD hasn't made that level of investment and thats important because GPUs tend to be more fickle than CPUs.

    [1] https://github.com/vosen/ZLUDA

  • Why Nvidia Keeps Winning: The Rise of an AI Giant
    3 projects | news.ycombinator.com | 6 Jul 2023
    > I don't think you understand just how insanely difficult it is to break into that market.

    You're right, I have no clue nor have I ever tried myself.

    > Even with apple money or something like that, it's a losing prospect because in the time it'll take you to get up and off the ground (which is FOREVER) your competition will crush you.

    This I find hard to believe, do you have a source or reference for that claim? Companies with that amount of cash are hardly going to be crushed by competition be it direct or indirect. Anyway, I'm talking more about the Intels and AMDs of this world.

    We have very lacklustre efforts from players I won't name with their Zluda library (https://github.com/vosen/ZLUDA) which I got REALLY excited about, until I read the README.txt. Four contributors, last commit early 2021.

    Why, oh why, is it this bad?

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    app.getonboardai.com | 22 Feb 2024
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Stats

Basic ZLUDA repo stats
31
5,320
5.5
7 days ago

vosen/ZLUDA is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of ZLUDA is Rust.

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