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