Reserve powerful GPU instances on a future date to support your short duration machine learning (ML) workloads. Instances that run inside a Capacity Block are automatically placed close together inside Amazon EC2 UltraClusters, for low-latency, petabit-scale, non-blocking networking.
You can also reserve Amazon EC2 UltraServers. UltraServers connect multiple EC2 instances using a low-latency, high-bandwidth accelerator interconnect (NeuronLink). They are built to tackle very large-scale AI/ML workloads that require significant processing power. For more information, see Amazon EC2 UltraServers.
ContentsThe Availability Zone of the Capacity Block.
Type: String
Required: No
The Availability Zone ID of the Capacity Block.
Type: String
Required: No
The ID of the Capacity Block.
Type: String
Required: No
The ID of the Capacity Reservation.
Type: Array of strings
Required: No
The date and time at which the Capacity Block was created.
Type: Timestamp
Required: No
The date and time at which the Capacity Block expires. When a Capacity Block expires, all instances in the Capacity Block are terminated.
Type: Timestamp
Required: No
The date and time at which the Capacity Block was started.
Type: Timestamp
Required: No
The state of the Capacity Block.
Type: String
Valid Values: active | expired | unavailable | cancelled | failed | scheduled | payment-pending | payment-failed
Required: No
The tags assigned to the Capacity Block.
Type: Array of Tag objects
Required: No
The EC2 UltraServer type of the Capacity Block.
Type: String
Required: No
For more information about using this API in one of the language-specific AWS SDKs, see the following:
CapacityAllocation
CapacityBlockExtension
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