CapacityBlock¶
Structure Class¶
dataclass
¶
Bases: _SerdeShape
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.
Attributes¶
class-attribute
instance-attribute
¶
availability_zone: str | None = ...
The Availability Zone of the Capacity Block.
class-attribute
instance-attribute
¶
availability_zone_id: str | None = ...
The Availability Zone ID of the Capacity Block.
class-attribute
instance-attribute
¶
capacity_block_id: str | None = ...
The ID of the Capacity Block.
class-attribute
instance-attribute
¶
The ID of the Capacity Reservation.
class-attribute
instance-attribute
¶
create_date: datetime | None = ...
The date and time at which the Capacity Block was created.
class-attribute
instance-attribute
¶
end_date: datetime | None = ...
The date and time at which the Capacity Block expires. When a Capacity Block expires, all instances in the Capacity Block are terminated.
class-attribute
instance-attribute
¶
start_date: datetime | None = ...
The date and time at which the Capacity Block was started.
class-attribute
instance-attribute
¶
The tags assigned to the Capacity Block.