Alternatives
Products that do what GPU runners for GitHub Actions, 10x cheaper does
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.
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Hey HN, BuildJet makes GitHub Actions faster, by running the workflows on our Gaming CPU cloud. You still get to keep everything GitHub Actions, we simply replace the underlying GitHub Actions runner with our Gaming CPUs. All you do is change 1 line, and get 2x faster and cheaper builds. GitHub Action is very slow - Developers are wasting their time – Waiting for GitHub Actions to give you a green checkbox on PR, is very wasteful and extremely tedious. - GitHub Actions runner hardware is old and slow – GitHub Actions use old and slow machines from Azure. Some of your workflows run on servers…
2023 · buildjet.com
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2015 · github.com
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2021 · gpu.land
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Hi, HN! I've been running GitHub Actions workflows for a while, and when GitHub announced ubuntu-slim runners as a cheaper alternative to ubuntu-latest, I wanted to migrate. (Blog: https://github.blog/changelog/2025-10-28-1-vcpu-linux-runner...) But manually checking which workflows can safely migrate is tedious—you need to check for Docker usage, services, containers, execution times, and missing commands. So I built gh-slimify, a GitHub CLI extension that automates this. It scans your workflows, detects migration candidates, checks for incompatible patterns, identifies…
Nov 2025 · github.com
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2024 · github.com
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Hi HN! I've been hacking on this side project for the last month or two with the goal of making it dead simple to use cloud GPUs. I ran into this problem personally during the phd, and built my own tooling around it. I always thought it'd be fun to try to turn that tooling into a more general product... and bitbop.io is the result! All you have to do is run `ssh bitbop.io`, and you get your own personal dev GPU workstation in the cloud. Looking forward to hearing your thoughts!
2024 · twitter.com
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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
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2021 · github.com
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2022 · github.com
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