<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>VS Code Extensions on Rachid Youven Zeghlache</title><link>https://youvenz.github.io/tags/vs-code-extensions/</link><description>Recent content in VS Code Extensions on Rachid Youven Zeghlache</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 05 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://youvenz.github.io/tags/vs-code-extensions/index.xml" rel="self" type="application/rss+xml"/><item><title>VS Code Collab Extension: GPU Training in Jupyter</title><link>https://youvenz.github.io/blog/2026-03-05-vs-code-collab-extension-gpu-training-in-jupyter/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://youvenz.github.io/blog/2026-03-05-vs-code-collab-extension-gpu-training-in-jupyter/</guid><description>&lt;h2 id="run-python-code-with-gpu-inside-vs-code--without-leaving-your-jupyter-notebooks"&gt;Run Python Code with GPU Inside VS Code — Without Leaving Your Jupyter Notebooks&lt;/h2&gt;
&lt;p&gt;You&amp;rsquo;ve built a machine learning model locally, but your GPU is sitting idle because you&amp;rsquo;re switching between VS Code and Google Colab every time you need accelerated compute. Or worse—you&amp;rsquo;re uploading files, waiting for notebooks to load, and losing your development flow. The &lt;strong&gt;VS Code Collab extension&lt;/strong&gt; eliminates that friction: connect to CPU, GPU, or TPU compute directly from your Jupyter notebooks without ever leaving your editor.&lt;/p&gt;</description></item></channel></rss>