How to Allocate GPU Resources Across Teams

Resource Management Across Teams

Learn how NVIDIA Run:ai helps teams share GPU resources efficiently across departments and projects.

Note

This video was recorded using NVIDIA Run:ai version 2.24.18. The user interface, features, and workflows may differ in newer releases. For the latest information, refer to the current documentation.

What You'll Learn:

• Configure quotas for departments and projects
• Set workload priorities across teams
• Allocate GPU resources fairly
• Improve cluster utilization
• Maintain governance across shared infrastructure
• Support operational flexibility for AI workloads