NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform

NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to production-grade AI workload and GPU orchestration capabilities. This release expands the NVIDIA DSX AI Factory Platform by establishing NVIDIA Run:ai as an open foundation that enables the broader ecosystem to bring differentiated solutions to market faster in response to evolving customer needs.

Over the past several years, NVIDIA Run:ai has helped organizations run AI workloads on Kubernetes at scale by dynamically allocating GPU resources and managing workloads across the full lifecycle, from data processing and training to inference.

By open sourcing NVIDIA Run:ai platform capabilities as part of NVIDIA DSX AI Factory, it is now possible for every NVIDIA DSX ecosystem partner and AI cloud to increase workload throughput, improve GPU utilization, and operate shared AI infrastructure more efficiently and effectively.

This post details the open source release, which includes the complete NVIDIA Run:ai platform and four components that can also be adopted independently: KAI Scheduler, GPU Fractioning Operator, KAI Resource Management, Workload Map. Together with additional platform code, these components form the integrated NVIDIA Run:ai platform. Platform teams and ecosystem partners can adopt NVIDIA Run:ai as an integrated whole, build on it for their own products and services, or integrate individual components based on their requirements.