<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Md Soharab Ansari on Fission</title><link>https://deploy-preview-295--fission-website.netlify.app/author/md-soharab-ansari/</link><description>Recent content in Md Soharab Ansari on Fission</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 26 Sep 2024 13:55:09 +0530</lastBuildDate><atom:link href="https://deploy-preview-295--fission-website.netlify.app/author/md-soharab-ansari/index.xml" rel="self" type="application/rss+xml"/><item><title>Running GPU based Functions on Fission</title><link>https://deploy-preview-295--fission-website.netlify.app/blog/running-gpu-based-functions-on-fission/</link><pubDate>Thu, 26 Sep 2024 00:00:34 +0530</pubDate><guid>https://deploy-preview-295--fission-website.netlify.app/blog/running-gpu-based-functions-on-fission/</guid><description>&lt;p&gt;With new advancements in AI, more people want to use GPU-based functions in serverless environments. Fission is a serverless framework that you can easily deploy on your Kubernetes clusters.&lt;/p&gt;
&lt;p&gt;Fission helps users run their models for different tasks, such as image processing, video processing, and natural language processing.
Sometimes, you need special accelerators like GPUs to run these functions effectively.
In this guide, we will show you how to set up a GPU-enabled Fission environment and use it to run your GPU-based functions.&lt;/p&gt;</description></item></channel></rss>