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Apple's MLX adding CUDA support

(github.com)
548 points nsagent | 6 comments | 14 Jul 25 21:40 UTC | HN request time: 0.227s | source | bottom
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lukev ◴[15 Jul 25 02:18 UTC] No.44567263[source]▶
So to make sure I understand, this would mean:

1. Programs built against MLX -> Can take advantage of CUDA-enabled chips

but not:

2. CUDA programs -> Can now run on Apple Silicon.

Because the #2 would be a copyright violation (specifically with respect to NVidia's famous moat).

Is this correct?

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quitit ◴[15 Jul 25 02:39 UTC] No.44567355[source]▶
It's 1.

It means that a developer can use their relatively low-powered Apple device (with UMA) to develop for deployment on nvidia's relatively high-powered systems.

That's nice to have for a range of reasons.

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1. chvid ◴[15 Jul 25 07:15 UTC] No.44568740[source]▶
If Apple cannot do their own implementation of CUDA due to copyright second best is this; getting developers to build for LMX (which is on their laptops) and still get NVIDIA hardware support.

Apple should do a similar thing for AMD.

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2. ◴[15 Jul 25 10:11 UTC] No.44569645[source]▶
3. xd1936 ◴[15 Jul 25 12:17 UTC] No.44570359[source]▶
I thought that the US Supreme Court decision in Google v. Oracle and the Java reimplementation provided enough case precedent to allow companies to re-implement something like CUDA APIs?

https://www.theverge.com/2021/4/5/22367851/google-oracle-sup...

https://en.wikipedia.org/wiki/Google_LLC_v._Oracle_America,_....

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4. timhigins ◴[15 Jul 25 19:03 UTC] No.44574685[source]▶
Exactly and see also ROCM/HIP which is AMD’s reimplementation of CUDA for their gpus.
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5. pjmlp ◴[16 Jul 25 06:55 UTC] No.44579461{3}[source]▶
Reimplementation of CUDA C++, not CUDA.

CUDA is a set of four compilers, namely C, C++, Fortran and Python JIT DSLs, a bytecode and two compiler backend libraries, a set of compute libraries collection for the languages listed above, plugins for Eclipse and Visual Studio, a GPU graphical debugger and profiler.

6. qalmakka ◴[17 Jul 25 14:02 UTC] No.44593560{3}[source]▶
There's ZLUDA for AMD that actually implements CUDA, but it's still quite immature yet