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Products that do what Cuda-bootstrap.com – One liner to install CUDA on Linux based machines does
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CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
2025 · hipscript.lights0123.com
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Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com
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Have been working on this for months, hope you guys will like it. Feel free to share your own side project in the comments.
2012 · sideprojects.com
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2018 · bootrino.com
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Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!
2025 · github.com
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Hey Everyone! Ron here, part of the NixOS Foundation and building Flox. Just coming out of this years NixCon and pretty excited to show hn below :) As of today, NVIDIA officially recognizes Canonical, SUSE, CIQ, and Nix—via Flox—as supported distributors for CUDA. Full blog - https://developer.nvidia.com/blog/developers-can-now-get-cud... This is a huge win for the Nix community. For years, CUDA on Nix was possible but painful—builds could take hours, and redistributing prebuilt binaries was blocked by NVIDIA's licensing requirements. NVIDIA's growing engagement with key…
Sep 2025 · flox.dev
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2012 · klaig.blogspot.be
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2014 · bootstrapbay.com
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This is clangd extended to give feedback on host and device parts of cuda, including things like syntax errors within inline ptx. Actual cuda as it is written or the clang dialect as you prefer. I like the tarball release as that's a set of x86 binaries that run as your normal user. There's other good stuff in the package too - it's a complete cuda to amdgpu or nvptx compiler toolchain. Questions / feedback welcome here or to [email protected] or via https://discord.com/invite/KNpgGbTc38 etc
Mar 2026 · docs.scale-lang.com
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2013 · pixate.com
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2020 · github.com
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