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Alternatives

Products that do what wafer does

Wafer is the GPU dev stack that lives inside your IDE

  1. 1

    Generate UI from your design system, not around it

    Apr 2026

  2. 2

    The IDE for video engineers

    Apr 2026

  3. 3

    Connect. Compute. It’s that Simple.

    2015

  4. 4

    The easiest way to use cloud GPUs

    2025

  5. 5
    RightNow197

    AI code editor for GPU kernel development

    Dec 2025

  6. 6
    refinery113

    Treating training data as if it was source code

    2022

  7. 7

    Generative art on the GPU

    2022

  8. 8

    Real-time GPU shader editor for spatial computing

    2024

  9. 9

    ML dev tool that saves you up to 8x in cloud GPU costs

    2019

  10. 10

    High-performance, collaborative GPU notebooks in the cloud

    Sep 2025

  11. 11

    A Linux desktop in the cloud built for Machine Learning

    2016

  12. 12
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026

  13. 13
    HASH127

    Build complex simulations quickly with modular components

    2020

  14. 14

    Claude Code for CUDA, an open-source AI CLI for GPU devs

    Oct 2025

  15. 15

    The answer to "what's your AI stack?"

    Jun 2026

  16. 16
    TofuPilot108

    Your workspace for hardware innovation

    2024

  17. 17
    Forge CLI107

    Swarm agents optimize CUDA/Triton for any HF/PyTorch model

    Jan 2026

  18. 18

    The easiest cloud IDE for deep learning

    2018

  19. 19PO

    Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml

    2017

  20. 20

    Hi everyone, Please checkout compute.cx which is a simple cli interface for using on demand GPUs from RunPod and HotAisle. I created this because I really like the ease of modal.com for severless gpu access, but don’t always want to pay their markup. Compute.cx gives the same DX but on public on-demand GPUs like runpod and hotaisie. Please try it out, and write to me [email protected] for any questions/suggestions, or file a bug report on https://github.com/theoriclabs/docs.compute.cx Thanks! Harsh Gupta https://x.com/hargup13 P.S. BYOK AWS, GCP and…

    16d ago · compute.cx

  21. 21AL
  22. 22SS

    We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator but for remote machines. Sign up for an account at https://web.spell.run/waitlist, which includes $300 in credits for GPU time. There's a waitlist, but we'll be approving accounts as they come in. Here are some of the features we really wanted and built into Spell:…

    2018

  23. 23IM

    This is a personal project I've been working on and off for the past few years. It's a set of tools that have allowed me to prototype quickly small (and increasingly bigger) kernels, and create userspace programs to interact with them. Supports riscv64, amd64 and i386. The intel port has been tested and used on real hardware, from big dual-socket Xeon machines to an old X220. It is all C, I have plan to make rust bindings for the kernel library. But again, they're plans at this stage. Porting to new architectures is relatively simple, a basic port to riscv took me a couple of weeks of…

    2024 · github.com

  24. 24

    A new programming language rooted in Pure Mathematics

    2025

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