81–90 of 111 posts
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Approximately nobody writing high performance code for AI training is using Windows. Why should they target it?
As desktop, and sometimes that is the only thing available. When is the Year of NPUs on Linux?
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Yes, but Latner said multiple time it's closed until it matures (he apparently did this with llvm and swift too). So not unusal. His open source target is end of 2026. In all fairness, I have 0 doubts that he would deliver.
Given Swift for Tensorflow, lets see how this one goes.
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As desktop, and sometimes that is the only thing available. When is the Year of NPUs on Linux?
This targets Blackwell GPUs so I’m not sure what you are talking about
https://www.pcspecialist.de/kundenspezifische-laptops/nvidia...
Which as usual, kind of work but not really, in GNU/Linux.
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AMD screwed up so badly.
Hundreds of thousands of developers with access to a global communication network were not stopped by AMD. Why act like dependents or wait for some bright star of consensus unless the intent is really about getting the work for free? We don't have to wait for singular companies or foundations to fix ecosystem problems. Only the means of coordination are needed. https://prizeforge.com isn't there yet, but it is alread…
Geohot has been working on this for about a year, and every roadblock he's encountered he has had to damn near pester Lisa Su about getting drivers fixed. If you want the CUDA replacement that would work on AMD, you need to wait on AMD. If there is a bug in the AMD microcode, you are effectively "stopped by AMD".
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.
How close was I?
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Yes, but Latner said multiple time it's closed until it matures (he apparently did this with llvm and swift too). So not unusal. His open source target is end of 2026. In all fairness, I have 0 doubts that he would deliver.
Given Swift for Tensorflow, lets see how this one goes.
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CUDA Tile is an open source MLIR Dialect so it wouldn't take much to write MLIR transforms to map it from the Tile IR to TOSA or gpu + vector + some amdgpu or other specialty dialects. The Tile dialect is pretty much independent of the nvidia ecosystem so all it takes is one good set of MLIR transform passes to run anything on the CUDA stack that compiles to tile out of the nvidia ecosystem prison. So if anything thi…
Or it's Nvidia doing an Embrace Extend Extinguish on MLIR.
Let's see if developers sleepwalk into another trap to keep us locked into nvidia's hardware for the next decade.
It is up to AMD, Intel and Khronos to offer APIs and tools that are actually nice to use. They have had about 15 years to move beyond C99, stone age workflows to compile GLSL and C99 with their drivers, no libraries ecosystem, and printf debugging. Eventually some of the issues have been fixed, after they started seeing only hardliners would put with such development experience, and then it was too late.
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Easy, if that’s how you feel, skip the comment and don’t engage. Telling people who want to have that participation and discussion to “RTFM” is not a good response. Often you’ll come across the authors on these posts that can shed direct, 1st person evidence, of what we’re talking about. So please, when someone asks “what is that?” Don’t respond with “RTFM”.
Asking "what is this?" is fine. Treating "I was unfamiliar with this" as evidence that the post is deficient is not. HN already assumes a baseline of technical literacy. When something falls outside that baseline, the usual move is to ask for context or links, not to reframe personal unfamiliarity as an author failure. So please, don’t normalize treating "I don’t know this yet" as a failure of the post.
If that is your answer, please just don’t comment.