Introducing new Ray capabilities on SageMaker HyperPod

Extracto de la fuente

Today, we are announcing new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with the HyperPod purpose-built infrastructure for foundation model training and serving. Ray is an open-source framework that data scientists use to scale distributed Python workloads across clusters of GPUs, from distributed training with Ray Train to model serving with Ray Serve. On Kubernetes, Ray clusters are managed by KubeRay , an open-source operator that handles cluster lifecycle through…