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AI · alternatives · 2026

24 alternatives to CUDA 13.1

The biggest CUDA expansion since 2006

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    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 · its alternatives →

  2. 2

    Vibe coding for CUDA engineers

    2025 · rightnowai.co · its alternatives →

  3. 3
    RightNow▲197

    AI code editor for GPU kernel development

    Dec 2025 · its alternatives →

  4. 4

    The 980 TI is the flagship NVIDIA's GPU

    2015 · blogs.nvidia.com · its alternatives →

  5. 5

    The world’s most powerful chip’ for AI

    2024 · nvidia.com · its alternatives →

  6. 6AG

    Thought the resources for GPU arch were lacking, so here we are

    Apr 2026 · jaso1024.com · its alternatives →

  7. 7

    A langgraph based workflow with a C++ CUDA suite to optimize CUDA kernels - bertaye/agentic-cuda-optimizer

    27d ago · github.com · its alternatives →

  8. 8

    Most powerful GeForce GPU ever made

    2025 · nvidia.com · its alternatives →

  9. 9

    I 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…

    2025 · github.com · its alternatives →

  10. 10
    Flox▲375

    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…

    2024 · flox.dev · its alternatives →

  11. 11

    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 · its alternatives →

  12. 12
    Cua▲389

    Docker for computer-use agents

    2025 · its alternatives →

  13. 13

    GPU Raytracer from scratch in C++/CUDA. Contribute to jan-van-bergen/GPU-Raytracer development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  14. 14

    Flash Attention in ~100 lines of CUDA (forward pass only) - tspeterkim/flash-attention-minimal

    2024 · github.com · its alternatives →

  15. 15

    Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…

    2023 · shadeform.ai · its alternatives →

  16. 16VA
  17. 17

    I just think they're neat

    2025 · github.com · its alternatives →

  18. 18
  19. 19

    Quickly render fractals in CUDA. Contribute to tripplyons/cuda-fractal-renderer development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  20. 20
    RunInfra▲156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai · its alternatives →

  21. 21

    NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

    2016 · octo.ai · its alternatives →

  22. 22

    Demo of agent based model on GPU with CUDA and OpenGL (Windows/Linux) Agent instances on GPU memory Uses SSBO for instanced objects (with GLSL 450 shaders) CUDA OpenGL interops Renders with GLFW3 window manager Dynamic camera views in OpenGL (pan,zoom with mouse) Libraries installed using vcpkg (https://github.com/KienTTran/ABMGPU)

    2023 · github.com · its alternatives →

  23. 23

    After 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!

    2025 · leetgpu.com · its alternatives →

  24. 24

    Deep Learning Everywhere, For Everyone

    2017 · nvidia.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →