Amazon EC2 Capacity Blocks for ML is now available in several new regions

Today, Amazon Web Services announced that Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML is now available in several new regions as well as new instance types in existing locations. You can use EC2 Capacity Blocks to reserve highly sought-after GPU instances in Amazon EC2 UltraClusters for a future date for the amount of time that you need to run your machine learning (ML) workloads.

EC2 Capacity Blocks enable you to reserve GPU capacity up to eight weeks in advance for durations up to 6 months in cluster sizes of one to 64 instances, giving you the flexibility to run a broad range of ML workloads. They are ideal for short duration pre-training and fine-tuning workloads, rapid prototyping, and for handling surges in inference demand. EC2 Capacity Blocks deliver low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters.

With this expansion, EC2 Capacity Blocks for ML are available on P5, P5e, P5en in US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Europe (Stockholm), Europe (London), South America (Sao Paulo) Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Jakarta), Australia (Sydney), Australia (Melbourne) and P4d in US East (N. Virginia), US East (Ohio), US West (Oregon). Capacity Blocks are also available on Trn2 in US East (Ohio) and Trn1 in US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Europe (Stockholm), Asia Pacific (Mumbai), Australia (Sydney), Australia (Melbourne).

Click here to learn more about EC2 Capacity Blocks.