Introducing the Capacity Reservation Topology API for AI, ML, and HPC instance types
AWS announces the general availability of the Amazon Elastic Compute Cloud (EC2) Capacity Reservation Topology API. It joins the Instance Topology API in enabling customers to efficiently manage capacity, schedule jobs, and rank nodes for Artificial Intelligence, Machine Learning, and High-Performance Computing distributed workloads. The Capacity Reservation Topology API gives customers a unique per-account hierarchical view of the relative location of their capacity reservations.
Customers running distributed parallel workloads are managing thousands of instances across tens to hundreds of capacity reservations. With the Capacity Reservation Topology API, customers can describe the topology of their reservations as a network node set, which will show the relative proximity of their capacity without the need to launch an instance. This enables efficient capacity planning and management as customers provision workloads on tightly coupled capacity. Customers can then use the Instance Topology API, which provides consistent network nodes from the Capacity Reservation Topology API with further granularity, enabling a consistent and seamless way to schedule jobs and rank nodes for optimal performance in distributed parallel workloads.
The Capacity Reservation Topology API is available in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), Middle East (Bahrain), Middle East (UAE), and South America (São Paulo), and it is supported on all instances available with the Instance Topology API.
To learn more, please visit the latest EC2 user guide.