NVIDIA has released the complete Run:ai platform as open source software within its DSX AI Factory platform, giving customers, developers and ecosystem partners access to production-grade AI workload and GPU orchestration. The platform previously shipped as a commercial product that dynamically allocated GPU resources on Kubernetes and managed workloads across the full lifecycle, from data processing and training to inference. The release includes four components that can also be adopted independently: KAI Scheduler, GPU Fractioning Operator, KAI Resource Management and Workload Map, so partners can take the whole platform, build on it, or integrate single pieces.
NVIDIA has released the complete Run:ai platform as open source software within its DSX AI Factory platform, giving customers, developers and ecosystem partners access to production-grade AI workload and GPU orchestration. The platform previously shipped as a commercial product that dynamically allocated GPU resources on Kubernetes and managed workloads across the full lifecycle, from data processing and training to inference. The release includes four components that can also be adopted independently: KAI Scheduler, GPU Fractioning Operator, KAI Resource Management and Workload Map, so partners can take the whole platform, build on it, or integrate single pieces.