Summary

  • Chipmaker Nvidia has made elements of its Run:ai scheduling platform open source, including the Kubernetes-native GPU scheduling solution, KAI Scheduler, which is available under Apache 2.0 licence.
  • The platform was developed to help enterprises manage rapid changes in AI workload requirements, giving IT and machine learning teams more control over resource allocation.
  • Fluctuating GPU demands can be difficult for traditional resource schedulers to manage, leading to inefficiencies and unnecessary delays.
  • NVIDIA’s KAI Scheduler guarantees GPU allocation, while also reallocating idle resources to maximize efficiency and ensure fairness across teams.
  • The open sourcing of these tools is aimed at advancing AI infrastructure and encouraging feedback and innovation from a wider community of users and developers.

By Dean Takahashi

Original Article