53 lines
4.3 KiB
Markdown
53 lines
4.3 KiB
Markdown
---
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source_url: "https://developers.googleblog.com/ml-development-in-vs-code-with-google-cloud-power-workbench-extension-now-available/"
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ingested: 2026-07-01
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sha256: 4d4579609a3044366505703174f0ad3c4736b1167595333900a64521d8bfbd94
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discovered_from:
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platform: discord
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channel_id: "1477793137064935675"
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channel_name: tw
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message_id: "1521944082673303602"
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author_id: "1477793167486226708"
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posted_at: "2026-07-01T18:22:25.663000000Z"
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discovery_url: "https://x.com/googledevs/status/2072379293435584610"
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message_excerpt: "Google Cloud WorkbenchのVS Code拡張は、マネージドノートブックをローカルIDEに寄せる流れの代表例で、クラウド実行と手元編集の境界をさらに薄くしています。"
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---
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## ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available
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JULY 1, 2026
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For data scientists and developers, the ideal workflow combines the familiarity of a local IDE with the heavy-lifting capabilities of the cloud. Today, we are bridging that gap with the launch of the **Google Cloud Workbench Notebooks extension** for VS Code. This new tool allows you to harness the scalable infrastructure of Google Cloud directly within your local development environment.
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Gemini Enterprise Agent Platform Workbench has long been a go-to platform for managed Jupyter environments optimized for data science. By bringing Workbench into VS Code, we are enabling a more fluid experience where you can manage your code and cloud-based notebooks in a single interface.
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This integration is specifically designed to **streamline the ML lifecycle**. By **eliminating context switching**, developers can move from local experimentation to high-performance cloud compute without disruption.
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### ⚡ Enterprise Power meets Local Productivity
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The Workbench VS Code extension offers a seamless bridge between your desktop and Google Cloud's AI-optimized infrastructure:
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- **Connect and Scale:** Easily connect your local VS Code environment to managed cloud environments, accessing high-performance compute when your local machine needs more power.
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- **Optimized Workflows:** Run notebooks directly on Workbench instances without leaving your IDE, maintaining your preferred local settings and extensions.
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- **Open Source Innovation:** In line with our commitment to the developer ecosystem, the extension is **fully open-sourced**, allowing for community-driven contributions and transparency.
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### 🚀 Launch your Workbench Workflow in VS Code
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Transitioning your data science projects to the cloud is straightforward. Follow these steps to integrate your local environment with Gemini Agent Platform Workbench:
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1. **Equip your IDE:**
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Head to the **Extensions** view in VS Code and search for "Google Cloud Workbench Notebooks". Ensure you install the official package (GoogleCloudTools.workbench-notebooks). This extension works in tandem with the Jupyter extension to provide a seamless notebook experience.
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2. **Initiate a Cloud Connection:**
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Open a notebook (.ipynb) and use the **Select Kernel** option located in the editor's toolbar. Navigate through the **Google Cloud** menu and choose **Workbench** as your compute provider.
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3. **Authenticate and Access:**
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A quick sign-in process will link your Google Cloud account. Once authenticated, pick your desired project and select an active Workbench instance to begin executing your code on high-performance infrastructure.
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<video><source src="https://storage.googleapis.com/gweb-developer-goog-blog-assets/original_videos/workbench-vscode-extension.mp4" type="video/mp4"><p>Sorry, your browser doesn't support playback for this video</p></video>
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As part of our commitment to the developer ecosystem, the extension is fully open-sourced to support community-driven innovation. This project is a launchpad for bringing the best of Google Cloud's functionality to users everywhere, and we're just getting started.
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We are thrilled to finally bring these two platforms together. Download the extension from the [VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=GoogleCloudTools.workbench-notebooks) today, and contribute to the project on [GitHub](https://github.com/GoogleCloudPlatform/colab-enterprise-vscode)!
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**Happy coding!**
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