Cirrus Runners powered by Apple Silicon

What it does

At least double the performance of your macOS actions by running on the latest Apple Silicon hardware. Your actions will be executed in clean virtual machines with 4 M1 cores comparing to GitHub's own macOS Intel runners with just 3 cores.

• GA
  GitHub Actions on macOS, 25% faster and at half the cost2024 · docs.warpbuild.com · ▲13

  Hey HN, I’m Surya and I’m super excited to show you WarpBuild’s new MacOS runners for Github Actions! The MacOS runners are powered by M2 Pros with 6vcpu and 14GB memory. On paper, this is comparable to the M1 powered macos-latest-xlarge runners by Github but are 25% faster and 50% cheaper, with the same tools pre-installed. This is useful for 4 reasons: because Github runners are super slow and pricey and even more so on mac, managing mac infra is a hassle, concurrent CI runs on macs can get very expensive, and pre-installed tooling speeds up workflows. We have teams running iOS builds on…

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  RunsOn2024 · runs-on.com · ▲142

  10x cheaper GitHub Actions runners, self-hosted on AWS

• WX
  WarpBuild – x86-64 and arm GitHub Action runners for 30% faster builds2023 · warpbuild.com · ▲154

  Hey HN, I’m Surya and I’m excited to show you WarpBuild! WarpBuild provides fast, secure `x86-64` and `arm64` Github actions runners. This speeds up your workloads by 30%, at half the cost, and takes ~2mins to get started. We’ve been seeing pretty good results since we opened up signups a week ago and I’ve shared some numbers publicly here [1]. Currently, we support linux runners for Github organizations (not personal accounts) and MacOS support is coming soon (~Jan). The way the runners work is deceptively simple: Runners are assigned to hardware that is ideal for build workloads with fast…

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  BuildJet for GitHub Actions2021 · ▲82

  Managed high-performance runners for Github Actions

• 
  WarpBuild2023 · ▲144

  30% faster, 50% cheaper Github actions runners

• 
  FlyCI2023 · ▲7

  MacOS M1 and M2 runners for GitHub Actions

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• BI
  BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT▲688

  I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…

  AI · 2023 · genmon.github.io