# NVIDIA releases Run:ai GPU orchestration platform as open source

> NVIDIA has made its Run:ai Kubernetes GPU management suite available under the Apache 2.0 license, adding open‑source tools for scheduling and quota control.

Oossa · 2026-10-19 · https://oossa.com/en/nvidia-releases-run-ai-gpu-orchestration-platform-as-open-source

NVIDIA has open‑sourced its Run:ai platform for managing GPUs on Kubernetes clusters. The code is now under the Apache 2.0 license, which allows anyone to use, modify and redistribute it. The release includes the KAI Scheduler, support for CUDA 13.4 GPU fractioning, quota management features, and a local Kind development environment. This makes GPU scheduling tools more accessible to developers and cloud operators.

## The facts

- Run:ai open‑sourced under Apache 2.0
- Includes KAI Scheduler, CUDA 13.4 fractioning, quota management, Kind dev environment

## Why it matters

Open‑source access lets smaller companies and researchers add fine‑grained GPU scheduling to their Kubernetes clusters without paying for a proprietary solution.

## Sources & references

1. [NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration](https://www.marktechpost.com/2026/10/18/nvidia-runai-open-source-gpu-orchestration-kubernetes/) – MarkTechPost, 2026-10-19

Last updated: 2026-10-19