Topology-Aware GPU Scheduling
Topology-Aware Scheduling
Learn how NVIDIA Run:ai uses topology-aware scheduling to optimize AI workload performance.
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:
- Understand how topology-aware scheduling improves workload placement
- Optimize GPU placement for AI workloads
- Use NVLink connectivity to improve communication efficiency
- Account for node topology when scheduling workloads
- Improve performance for GPU-intensive AI workloads