LeetGPU, a playground to learn practice and hone your GPU programming.
Learn, write, practice CUDA programming on LeetGPU.com, an online CUDA playground for anyone to write and execute CUDA code without needing a GPU and for free
LeetGPU, a playground to learn practice and hone your GPU programming. launched on April 13, 2025 with 9 votes, #3,599 of 7,818 launches that month and more than 75% of that year's launches.
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LeetGPU – LeetCode for GPU Programming2025 · leetgpu.com · ▲9After the incredible response to our launch of the first online CUDA playground, we have just shipped something we think all you GPU programming and ML enthusiasts will love. Introducing LeetGPU Challenges--the place to compete on writing the fastest CUDA kernels. We have problems like matrix multiplication, agent simulation, multi-head self-attention, with more dropping every couple of days! We have a lot of really cool things coming up, including support for PyTorch, TensorFlow, JAX, TinyGrad; Multi-GPU programs; H100, V100, A100 GPU options Give it a try and let us know what you think!
Free e-book about WebGPU Programming2024 · shi-yan.github.io · ▲471I am excited to announce the launch of my e-book on Graphics/WebGPU programming! This project has consumed much of my spare time, during which I developed various tools to facilitate the publishing process, including a code playground and a static site generator that can reference sample codes. However, I'm feeling burnt out and ready to call it finished, even though it may not feel completely done. Avoiding another abandoned side project has been my primary motivation in reaching this point.
HipScript – Run CUDA in the browser with WebAssembly and WebGPU2025 · hipscript.lights0123.com · ▲309CUDA 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.
- AGA game where you build a GPUApr 2026 · jaso1024.com · ▲964
Thought the resources for GPU arch were lacking, so here we are
GPT-2 implemented using graphics shaders2025 · github.com · ▲228Back 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!
RightNow CLI2025 · github.com · ▲121I locked in for 18 hours and built Claude Code for CUDA. It is completely open source! It writes CUDA kernels, debugs memory issues, and optimizes for your specific GPU. It is a fully agentic AI with tool calling built specifically for the CUDA toolkit This is the CLI version of RightNow AI code editor, our GPU-native code editor with a built-in emulator, visual profiling, and remote GPU access. The CLI is open source, lightweight, and fast. It is designed for anyone who wants AI help with CUDA without setup I used Python because it is the most common language, so anyone can build on top of…
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