AINewsnow

NVIDIA open-sourced the entire Run:ai platform (Apache 2.0): KAI Scheduler, CUDA 13.4-native GPU fractioning, quotas, UI, and a local dev env that runs on 8 simulated GPUs

NVIDIA released the full Run:ai codebase on GitHub under Apache 2.0, as part of its DSX AI Factory platform. This is not just the scheduler, which was already open as KAI Scheduler. It’s the whole platform: control plane, cluster services, installer, web UI, CLI, REST API and an MCP server. What’s…

Read the full story at r/machinelearningnews ↗

Timeline · 1 report

  1. 2026-10-19 03:30 · r/machinelearningnews
    NVIDIA open-sourced the entire Run:ai platform (Apache 2.0): KAI Scheduler, CUDA 13.4-native GPU fractioning, quotas, UI, and a local dev env that runs on 8 simulated GPUs

More stories

  1. Deepseek released DeepInfer - Open Source high-performance, large-scale inference framework for DeepSeek models! — r/LocalLLaMA
  2. NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required — Hugging Face Blog
  3. Introducing CoreWeave Physical AI Launchables: Run Workloads With One Command — CoreWeave Blog
  4. CoreWeave Launches Physical AI Templates for Robotics and AV Development — AI Insider
  5. Mistral Advances AI for Engineering with NVIDIA — Mistral AI News
  6. CoreWeave Powers Agentic AI, HPC, and Data Analytics Workloads with NVIDIA HGX Rubin NVL8 — CoreWeave Blog
  7. GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote — NVIDIA Blog
  8. Nvidia CEO encourages Europe's lagging AI sector and offers tools to accelerate data center buildout — ABC News Technology

Get the daily brief of stories like this at 6:30 every morning →