# Multi-tenant GPU Kubernetes on Simulated Hardware with Kamaji and HAMi

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-23T11:30:00.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 90/100  
> **Primary Source:** [CNCF Blog](https://www.cncf.io/blog/2026/10/23/multi-tenant-gpu-kubernetes-on-simulated-hardware-with-kamaji-and-hami)  
> **Canonical Citation:** [https://spidits.com/timeline/multi-tenant-gpu-kubernetes-on-simulated-hardware-with-kamaji-and-hami](https://spidits.com/timeline/multi-tenant-gpu-kubernetes-on-simulated-hardware-with-kamaji-and-hami)

## Executive Summary
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.

## Key Entities & Companies
- **NVIDIA**

## Referenced Coverage & Sources
- **[CNCF Blog](https://www.cncf.io/blog/2026/10/23/multi-tenant-gpu-kubernetes-on-simulated-hardware-with-kamaji-and-hami)**: Multi-tenant GPU Kubernetes on simulated hardware with Kamaji and HAMi — _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,..._

---
*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*