CapacityReservations/ Capacity Blocks for ML(GPU) in AWS to get allocation/ significant discounts. #5045
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By using capacity blocks for ML, one can obtain a significant discount compared to on-demand GPU instances. However, we can also use CapacityReservations to allocate additional on-demand instances to the cluster in case of poor availability of on-demand instances.
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If the user uses the on-demand CapacityReservationId to the cluster if the reservation expires the cluster falls into normal on-demand instances. But for the Capacity Blocks, the instances will start deleted as these are GPU instances which need to be allocated to other users.
Environment:
kubectl version
):/etc/os-release
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