CUDA Tile Open Sourced (github.com)

Will be interesting to see if Nvidia and other have any interest & energy getting this used by others, if there actually is an ecosystem forming around it.

Google leading XLA & IREE, with awesome intermediate representations, used by lots of hardware platforms, and backing really excellent Jax & Pytorch implementations, having tools for layout & optinization folks can share: they really build an amazing community.

There's still so much room for planning/scheduling, so much hardware we have yet to target. RISC-V has really interesting vector instructions, for example, and it seems like there's so much exploration / work to do to better leverage that.

Nvidia has partners everywhere now. Nvlink is used by Intel, AWS Tritanium, others. Yesterday the Groq exclusive license that Nvidia paid to give to Groq?! Seeing how and when CUDA Tiles emerges: will be interesting. Moving from fabric partnerships, up up up the stack.

Fun game: see how many clicks it takes you to learn what MLIR stands for.

I lost count at five or six. Define your acronyms on first use, people.

Writing this in Mojo would have been so much easier

shouldn't the title be "CUDA Tile IR Open Sourced"?

NVIDIA tensor core units, where the second column in kernel optimization is producing a test suite.

>The CUDA Tile IR project is under the Apache License v2.0 with LLVM Exceptions

Let's see if developers sleepwalk into another trap to keep us locked into nvidia's hardware for the next decade.

The compiler for CUDA Tile being Blackwell only is a baffling decision. I wanted to try it out, but it's only really easy to grab H100s quickly right now. I guess maybe I'll try it out on my 5070 Ti after traveling, but am more likely to stick to an IR that targets multiple platforms, since they couldn't be bothered.

This is basically the nvidia equivalent of cooperative_matrix_2 in Vulkan which is vendor agnostic and should get much more hype that it's getting.

I’m glad CUDA and “open source” are in the same sentence again.

We’d all prefer cross platform programming, but if you’re going to do platform specific, I prefer open source to closed source.

Thank you NVIDIA!