Amazon EC2 Capacity Blocks for ML is now available in AWS GovCloud (US) Regions

Update your ML infrastructure to include EC2 Capacity Blocks for ML in AWS GovCloud (US) Regions, allowing you to reserve GPU instances in advance for a defined duration, ensuring low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters, and enabling the sharing of capacity across multiple accounts using AWS Resource Access Manager (RAM).

Adopt EC2 Capacity Blocks for ML in AWS GovCloud (US) Regions to enhance your platform's ML infrastructure, allowing for the reservation of GPU instances in advance for durations up to 6 months, in cluster sizes of one to 64 instances, and enabling the sharing of capacity across multiple accounts to keep reserved capacity in continuous use across workloads.

Evaluate the deployment of EC2 Capacity Blocks for ML in AWS GovCloud (US) Regions to reserve GPU capacity for machine learning workloads, ensuring assured access to accelerated compute for short-duration pre-training, fine-tuning, rapid prototyping, and inference demand surges, thereby enhancing ML infrastructure efficiency and capability.