Amazon SageMaker HyperPod now provides flexible training plans
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Amazon SageMaker HyperPod has introduced flexible training plans for generative AI model training, offering new capabilities for cost-efficient and timeline-controlled model development.
- Allows users to specify compute instances, resources, workload duration, and start date
- Helps create most cost-efficient training plans
- Reduces model training time by weeks
- Automatically provisions infrastructure and runs training workloads
- Manages pausing and resuming training between compute availability gaps
- Available in US East (N. Virginia), US East (Ohio), and US West (Oregon) regions
The new feature simplifies infrastructure management and provides more control over AI model training budgets and timelines.
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