AWS Unveils EC2 Capacity Blocks for ML: A Game-Changer in GPU Access

Flexible GPU Access Model Aims to Boost Diversity and Efficiency

AWS users now have the option to reserve EC2 UltraClusters of P5 instances for periods ranging from 1 to 14 days and up to eight weeks in advance. They can choose from various cluster size options, ranging from 1 to 64 instances, accommodating a maximum of 512 GPUs.

David Brown, AWS Compute and Networking VP, emphasized the significance of this development, stating, “With Amazon EC2 Capacity Blocks, we are introducing a new way for enterprises and startups to predictably acquire Nvidia GPU capacity to build, train, and deploy their generative AI applications—without committing to long-term capital investments. It’s the latest example of AWS’s commitment to expanding access to generative AI capabilities.”

For pricing details and to access this service, prospective users can visit the AWS website and sign up for this short-term, cost-effective GPU solution. This innovation promises to revolutionize GPU access for AI applications, offering a more efficient and accessible path for businesses of all sizes.