@xiaoying_eth: Google 这波,等于把 GPU 黄牛的桌子掀了 VS Code 现在可以直接连接 Google Colab。 也就是说: → 在你自己的编辑器里,白嫖一张 T4 GPU → 代码和文件在本地,算力用 Google 的 链接: http…

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Google发布官方Colab VS Code扩展,允许用户直接连接Colab运行时,在本地VS Code中免费使用T4 GPU等算力,结合了编辑器的强大功能和Colab的云端资源。

Google 这波,等于把 GPU 黄牛的桌子掀了 VS Code 现在可以直接连接 Google Colab。 也就是说: → 在你自己的编辑器里,白嫖一张 T4 GPU → 代码和文件在本地,算力用 Google 的 链接: https://developers.googleblog.com/google-colab-is-coming-to-vs-code/…
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缓存时间: 2026/05/18 08:29

Google 这波,等于把 GPU 黄牛的桌子掀了 VS Code 现在可以直接连接 Google Colab。 也就是说: → 在你自己的编辑器里,白嫖一张 T4 GPU → 代码和文件在本地,算力用 Google 的 链接: https://developers.googleblog.com/google-colab-is-coming-to-vs-code/…


Google Colab is Coming to VS Code

Source: https://developers.googleblog.com/google-colab-is-coming-to-vs-code/ Kevin EgerSenior Software EngineerGoogle Colab

Ashley ToneySenior Software EngineerGoogle Colab

Today, we are incredibly excited to announce the launch of the newGoogle Colab extensionfor Visual Studio Code. This work is the culmination of two key trends that have become apparent in the last few years.

First, VS Code is one of the world’s most popular and beloved code editors. Its success is no mystery - VS Code is fast, lightweight, and infinitely adaptable.

Second, Colab has become the go-to platform for millions of AI/ML developers, students, and researchers, across the world. Colab makes it simple to write and execute code, collaborate with others, and get seamless access to powerful compute resources like GPUs and TPUs.

Until now, these two worlds have been mostly separate. Users had customized VS Code environments for project development, and web-based Colab environments for notebook execution, visualization, and training/inference workloads.

We’ve seen the passion from the community to bridge the gap between powerful VS Code development and web-based Colab notebooks through blog posts, forum threads, and popular GitHub repositories detailing workarounds. All of this made it clear that Colab users want the power and simplicity of Colab inside the VS Code editor they are already using.

Our objective at Colab is to meet developers, students, and researchers where they are, and for many of them, that’s in VS Code. That’s why we’re now releasing the official Colab VS Code extension.

🤝 The Best of Both Worlds

The new Colab VS Code extension combines the strengths of both platforms:

  • **For VS Code Users:**Continue to use the editor you’re familiar with. Connect local notebooks to high-powered Colab runtimes, including Pro-tier runtimes with premium GPUs and TPUs.
  • **For Colab Users:**This integration is designed to support the workflows many Colab users already have. It’s common to work on notebooks that are part of a larger project or Git repository. A subset of Colab users want more powerful IDE features with increased extensibility. This extension bridges the gap between simple to provision Colab runtimes and the prolific VS Code editor.

🚀 Getting Started with the Colab Extension

You can get up and running in just a few clicks.

1. Install the Colab Extension

  • In VS Code, open theExtensionsview from the Activity Bar on the left (or press\[Ctrl\|Cmd\]\+Shift\+X\).
  • Search the marketplace forGoogle Colab.
  • ClickInstallon the officialColab extension.
  • (If prompted, install the required extension dependency -Jupyter)

2. Connect to a Colab Runtime

  • Create or open any .ipynb notebook file in your local workspace.
  • Either run a cell (which drops you into kernel selection) or click theSelect Kernelbutton in the top right.
  • ClickColaband then select your desired runtime, sign in with your Google account, and you’re all set!

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Your local notebook is now powered by a Colab runtime!

For VS Code derivatives the extension is also published toOpen VSX.

Whats Next

This project is a launchpad for bringing the best of Google Colab’s functionality to users everywhere, and we’re just getting started. We plan to bring even more Colab goodness to VS Code.

We are thrilled to finally bring these two platforms together. Download the extension from theVS Code Marketplacetoday, give it a try, and let us know what you think on:

Happy coding!

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