Amazon SageMaker HyperPod eliminates the undifferentiated heavy lifting required in building generative AI models. It enables rapid scaling of model development tasks, including training, fine-tuning, and inference across clusters containing hundreds or thousands of AI accelerators. This video demonstrates how SageMaker HyperPod provides centralized governance across all your model development tasks, offering you complete visibility and control over task prioritization and compute resource allocation. Learn how to use HyperPod task governance to optimize compute resource utilization within your cluster and accelerates innovation.
Learn more about Amazon SageMaker HyperPod – https://go.aws/3WwsBA3
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