Amazon Web Services (AWS) is introducing EC2 Capacity Blocks for Machine Learning (ML) and SageMaker training plans to address the scarcity of GPU capacity. These new options allow customers to secure short-term GPU resources for tasks like model testing, validation, and preparing for inference ahead of product releases. Unlike traditional on-demand reservations, Capacity Blocks offer a discounted rate and are designed for flexible, time-bound usage, providing a more reliable alternative to on-demand or spot instances for specific ML workloads. AI
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IMPACT Provides a more reliable and cost-effective way for ML practitioners to access scarce GPU resources for short-term projects.
RANK_REASON This is a product announcement from AWS detailing new features for accessing GPU capacity, rather than a core AI model release or research.
