nowfound

Alternatives

Products that do what GPU.LAND does

Affordable cloud GPUs for deep learning

  1. 1CG
  2. 2

    The easiest way to use cloud GPUs

    2025

  3. 3

    Self-host AI/ML with the world's cheapest GPU cloud

    2025

  4. 4DI

    Hi HN community, Shen and I created a service for anyone to easily train deep learning model on GPU power harnessed from the crowd. We have completed the first version DeepCluster.io (http://deepcluster.io) and welcome ML researchers to try it out for free! We are enthusiastic of deep learning, but often found training models with GPU instances on AWS very expensive. Meanwhile, some of our friends have idle GPUs that are used to mine cryptos. So we decided to borrow their GPUs for training deep learning model ourselves, and believe this could be a service that benefits other ML…

    2019

  5. 5
    Banana235

    Serverless GPUs for Machine Learning inference

    2022

  6. 6

    Easy to use and fairly priced GPUs for Machine Learning

    2019

  7. 7

    The world’s most powerful chip’ for AI

    2024

  8. 8

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

    2019

  9. 9
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026

  10. 10DG
  11. 11

    Turn idle GPUs into cash. Get affordable AI for everyone.

    Nov 2025

  12. 12

    Live cloud GPU price comparison

    26d ago · gpuhour.com

  13. 13PO

    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

  14. 14
    Neuro104

    Instant infrastructure for machine learning

    2021

  15. 15

    Calculate the GPU memory you need for LLM inference

    2025

  16. 16

    The easiest cloud IDE for deep learning

    2018

  17. 17

    Jupyter notebooks you can run on free cloud GPUs

    2019

  18. 18SS

    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

  19. 19TR
  20. 20CE

    I've made a GPU comparison site: https://gpu-prices.com/US/ Yes, there was one yesterday - I got beaten to it. This one is different in that I've put a lot of work into categorisation, so you can filter down quite precisely. For example, VRAM-per-dollar, limiting to Nvidia, and a minimum performance score allow you to find good ML GPUs. It currently supports Australia, Canada, Ireland, the UK, and the US. The tech stack is Python for data pull and static site generation then Cloudflare Pages for actually serving the site. It updates three times a day, but I could increase…

    2024 · gpu-prices.com

  21. 21MG
  22. 22

    Turn your GPU infrastructure into a profitable AI cloud

    4d ago · hosted.ai

  23. 23GR

    I'm continuing to improve my RunsOn tool for launching self-hosted runners for GitHub Action on AWS, this time with support for any GPU-enabled instance type from EC2, and using the official Deep Learning AMIs as the runner image. Much cheaper than the official GitHub Actions runners, and accessible on any GitHub plan.

    2024 · runs-on.com

  24. 24RT

Ranked by how close each launch is in meaning, then by votes. Refine with a description →