Loading post…
GoogleAndrii Lobanov, Alex Kallaur, Diego GranadosAnnouncement
ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available
Summary
Google Cloud has launched the Google Cloud Workbench Notebooks extension for VS Code, allowing developers to use managed cloud notebook environments from a local IDE. Workbench, described as a managed Jupyter platform optimized for data science, can provide access to Google Cloud's AI-optimized infrastructure and high-performance compute when local machines need more capacity. The workflow connects through VS Code's Extensions view, the Jupyter extension, and a notebook's Select Kernel menu, where users choose Google Cloud, Workbench, authenticate, select a project, and choose an active instance. The extension runs notebooks on Workbench instances, preserves local settings and extensions, is fully open-sourced, and is available through the VS Code Marketplace, with GitHub contributions invited.
Context
The launch is intended to bridge local IDE familiarity with Google Cloud's scalable infrastructure, reduce context switching, and streamline the machine-learning lifecycle by combining local development with cloud-based notebooks and compute.
Approach / What changed
Install the official Google Cloud Workbench Notebooks extension alongside Jupyter in VS Code, open a notebook, select Workbench through the Select Kernel menu, authenticate, choose a Google Cloud project, and select an active Workbench instance. The extension is fully open-sourced.
Takeaways
The extension connects local VS Code development to managed Google Cloud Workbench environments and high-performance compute.
Notebooks run on Workbench instances while users continue using their local VS Code settings and extensions.
The official package is GoogleCloudTools.workbench-notebooks, and the project is open-sourced for community contributions.
Source and freshness
- Source
- developers.googleblog.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
Keep reading
Related reading
The Good Stuff
Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.
The best engineering reads, once a week
One useful email. Unsubscribe anytime.