Extending GPU Fractionalization and Orchestration to the edge with NVIDIA Run:ai and Amazon EKS
Containers Blog
The blog post discusses how NVIDIA Run:ai can extend GPU resource management and orchestration across AWS edge computing environments, including AWS Local Zones, AWS Outposts, and EKS Hybrid Nodes.
- Enables efficient GPU resource allocation in distributed AI/ML workloads
- Supports GPU management across different AWS infrastructure types
- Addresses challenges in training and inference at the edge
- Provides dynamic GPU fractionalization and advanced scheduling
- Can improve GPU utilization from 25% to over 75%
The solution helps organizations optimize GPU resources across distributed environments, ensuring consistent performance, high availability, and efficient workload management at the edge.
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