{"slug": "zluda", "name": "ZLUDA", "category": "dev-libs", "category_name": "Libraries and frameworks", "description": "", "recommenders": 2, "commenters": 4, "warners": 1, "score": 1.266, "rising": 0.67, "first": "2026-07-14", "latest": "2026-10-01", "why": "There is also ZLUDA, which is open source and works on pre-compiled binaries.", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 2, "neutral": 1, "compare": 0, "warn": 1}, "spark": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], "listed": false, "loved": [], "caveat": "", "short_quote": "There is also ZLUDA, which is open source and works on pre-compiled binaries.", "icon": false, "domain": null, "github_repo": "github.com/vosen/zluda", "official_url": "https://github.com/vosen/zluda", "pricing": "", "aliases": ["ZLUDA"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 798737536, "item_id": 49921096, "url": "https://news.ycombinator.com/item?id=49921096", "by": "the_voice", "date": "2026-10-01", "stance": "recommend", "quote": "turning a bunch of GPUs at Zluda[0] (an open implementation of Cuda) could be far more destructive for them", "excerpt": "I think it's interesting that Nvidia is so interested in producing the hardware that fuels the future of software development, given that their primary business advantage is their software moat. This is an interesting project for sure, but turning a bunch of GPUs at Zluda[0] (an open implementation of Cuda) could be far more destructive for them, right? [0] https://github.com/vosen/ZLUDA", "context": "", "use_case": "open CUDA implementation", "switched_from": "", "story": "OpenDLSS: A Vulkan Reimplementation of Nvidia's DLSS 5 Neural Rendering Network"}, {"id": 782466080, "item_id": 48904130, "url": "https://news.ycombinator.com/item?id=48904130", "by": "maxloh", "date": "2026-07-14", "stance": "recommend", "quote": "There is also ZLUDA, which is open source and works on pre-compiled binaries.", "excerpt": "There is also ZLUDA, which is open source and works on pre-compiled binaries. https://github.com/vosen/ZLUDA", "context": "", "use_case": "running CUDA on non-Nvidia hardware", "switched_from": "", "story": "Alternative(s) to run CUDA on non-Nvidia hardware"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 784554785, "item_id": 49034674, "url": "https://news.ycombinator.com/item?id=49034674", "by": "stevefan1999", "date": "2026-07-24", "stance": "warn", "quote": "ZLUDA basically crash on high memory demand, and only accounted for ~70% of CUDA API coverage (and it is still buggy).", "excerpt": "but you have to rewrite all your software to ROCm. And ROCm, to this day, still sucks. ZLUDA basically crash on high memory demand, and only accounted for ~70% of CUDA API coverage (and it is still buggy). But hey, at least it does run on Rust-CUDA. I'm one of the few who ported it and fixed a few bugs on ZLUDA. I used it to run a simple SHA256 kernel and it ran sure, but I gave it up because of those fundamental pro", "context": "ported Rust-CUDA and fixed bugs on ZLUDA", "use_case": "running CUDA on AMD GPUs", "switched_from": "", "story": "AMD's Instinct MI455X: Aiming for the Sun"}]}], "who": [], "tags": [], "use_cases": ["open cuda implementation", "cuda compatibility on amd", "running cuda on amd gpus", "running cuda on non-nvidia hardware"], "compared": [{"slug": "rocm", "name": "ROCm", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=49906100", "title": "OpenDLSS: A Vulkan Reimplementation of Nvidia's DLSS 5 Neural Rendering Network", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49684356", "title": "CUDA for AMD on Windows", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49032072", "title": "AMD's Instinct MI455X: Aiming for the Sun", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48903715", "title": "Alternative(s) to run CUDA on non-Nvidia hardware", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {}, "2026-05": {}, "2026-06": {}, "2026-07": {"recommend": 1, "warn": 1}, "2026-08": {}, "2026-09": {"neutral": 1}, "2026-10": {"recommend": 1}}, "quotes": [{"id": 798737536, "item_id": 49921096, "url": "https://news.ycombinator.com/item?id=49921096", "by": "the_voice", "date": "2026-10-01", "stance": "recommend", "quote": "turning a bunch of GPUs at Zluda[0] (an open implementation of Cuda) could be far more destructive for them", "excerpt": "I think it's interesting that Nvidia is so interested in producing the hardware that fuels the future of software development, given that their primary business advantage is their software moat. This is an interesting project for sure, but turning a bunch of GPUs at Zluda[0] (an open implementation of Cuda) could be far more destructive for them, right? [0] https://github.com/vosen/ZLUDA", "context": "", "use_case": "open CUDA implementation", "switched_from": "", "story": "OpenDLSS: A Vulkan Reimplementation of Nvidia's DLSS 5 Neural Rendering Network"}, {"id": 794949713, "item_id": 49684357, "url": "https://news.ycombinator.com/item?id=49684357", "by": "chiassedu80", "date": "2026-09-13", "stance": "neutral", "quote": "using ZLUDA + ROCm/HIP", "excerpt": "CUDA for AMD on Windows I\u2019ve been working on a Windows setup that lets CUDA-targeted applications run on AMD GPUs using ZLUDA + ROCm/HIP. Repo: https://github.com/Speedstu/CUDA-for-AMD-Windows So far, it has only been tested on my RX 9060 XT (gfx1200), where I\u2019ve used it with CUDA-enabled LibTorch workloads, including long ai training and use. I also added a GPU scanner / auto-detection system that detects: AMD GPU m", "context": "", "use_case": "CUDA compatibility on AMD", "switched_from": "", "story": "CUDA for AMD on Windows"}, {"id": 784554785, "item_id": 49034674, "url": "https://news.ycombinator.com/item?id=49034674", "by": "stevefan1999", "date": "2026-07-24", "stance": "warn", "quote": "ZLUDA basically crash on high memory demand, and only accounted for ~70% of CUDA API coverage (and it is still buggy).", "excerpt": "but you have to rewrite all your software to ROCm. And ROCm, to this day, still sucks. ZLUDA basically crash on high memory demand, and only accounted for ~70% of CUDA API coverage (and it is still buggy). But hey, at least it does run on Rust-CUDA. I'm one of the few who ported it and fixed a few bugs on ZLUDA. I used it to run a simple SHA256 kernel and it ran sure, but I gave it up because of those fundamental pro", "context": "ported Rust-CUDA and fixed bugs on ZLUDA", "use_case": "running CUDA on AMD GPUs", "switched_from": "", "story": "AMD's Instinct MI455X: Aiming for the Sun"}, {"id": 782466080, "item_id": 48904130, "url": "https://news.ycombinator.com/item?id=48904130", "by": "maxloh", "date": "2026-07-14", "stance": "recommend", "quote": "There is also ZLUDA, which is open source and works on pre-compiled binaries.", "excerpt": "There is also ZLUDA, which is open source and works on pre-compiled binaries. https://github.com/vosen/ZLUDA", "context": "", "use_case": "running CUDA on non-Nvidia hardware", "switched_from": "", "story": "Alternative(s) to run CUDA on non-Nvidia hardware"}]}