<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Tenancy on Anish Bista</title><link>https://anishbista.org/tags/multi-tenancy/</link><description>Recent content in Multi-Tenancy on Anish Bista</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 10 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://anishbista.org/tags/multi-tenancy/index.xml" rel="self" type="application/rss+xml"/><item><title>Multi-Tenant GPU Kubernetes on Simulated Hardware with Kamaji and HAMi</title><link>https://anishbista.org/blog/multi-tenant-gpu-kubernetes-on-a-laptop-kamaji-hami/</link><pubDate>Sat, 10 Oct 2026 00:00:00 +0000</pubDate><guid>https://anishbista.org/blog/multi-tenant-gpu-kubernetes-on-a-laptop-kamaji-hami/</guid><description>&lt;p>GPU teams usually face a bad trade-off. Give every team its own Kubernetes cluster and you pay for a control plane per team. Put everyone in one shared cluster and you get weak isolation. Either way, Kubernetes hands out GPUs as whole cards, so a pod that needs 4 GB of an 80 GB GPU still blocks the entire card.&lt;/p>
&lt;p>This post shows a way out by combining two open-source projects:&lt;/p></description></item></channel></rss>