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AWS EC2 Capacity Blocks Secure GPU for ML
AWS ML Blog·
Amazon Web Services (AWS) is introducing EC2 Capacity Blocks for Machine Learning (ML) and SageMaker training plans to help users secure short-term GPU capacity. This addresses challenges with GPU availability for tasks like load testing, model validation, and preparing inference capacity before product launches. These solutions aim to provide flexible and reliable access to essential GPU resources, ensuring that ML projects can proceed without interruption due to hardware constraints. The offering is designed for time-bound workloads, offering a strategic advantage for businesses needing on-demand computational power.
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Original Source
AWS ML Blog — aws-ml.amazon.com