AI Hypercomputer supports several
consumption options
to help you get and use compute resources. This document provides an overview of
how you can obtain capacity for each consumption option.
How to obtain capacity
The following table describes how you can obtain capacity for each consumption
option.
Consumption option
Process for obtaining capacity
Pricing implications
Future reservations in AI Hypercomputer
To get future reservation resources, the process is as follows:
Quota is automatically increased before capacity is delivered. No
action is required from you.
When you
create a
Compute Engine instance or cluster, specify the reservation-bound
provisioning model. Compute instances and clusters are provisioned from
your reserved capacity.
You're charged for the entire reservation period, whether or not you use
the reserved resources for the entire period. For more information, see the
Reservation billing section of the Compute Engine reservations
documentation.
Future reservations for less than 90 days (in calendar mode)
To get future reservation resources, the process is as follows:
No quota is charged and no action is required from you.
When you
create a compute
instance or cluster, you must specify the reservation-bound
provisioning model. Compute instances and clusters are provisioned from
your reserved capacity.
You're charged for the entire reservation period, whether or not you use
the reserved resources for the entire period. For more information, see
Dynamic Workload Scheduler pricing.
Flex-start
For this consumption option, no reservation is required. To get
Flex-start resources, the process is as follows:
When your requested resources become available, Compute Engine
provisions your VMs. Your VMs run for up to seven days.
You're charged when the resources are in use. Resources provisioned by
using Flex-start automatically get discounts through
Dynamic Workload Scheduler pricing.
On-demand
For this consumption option, reserving capacity is optional.
On-demand resources are only available for general GPUs
(such as N1, G2, G4, A2, or A3 Edge). To get these on-demand resources, the
process is as follows:
Request standard GPU quota for the machine type
that you want to use. For more information, see
Request a quota increase.
Create a compute instance or cluster and specify the
standard provisioning model. Resources are provisioned immediately based on
available capacity.
Standard on-demand rates apply while the resources are in use.
On-demand reservations
On-demand reservations (sometimes referred to as reservations) are only available for general GPUs (such as
G2, G4, A2, or A3 Edge). To reserve capacity, the process is as follows:
Create an on-demand reservation for your specific VM and GPU type
by using the Google Cloud console, the gcloud CLI, or other methods. For details about all methods to create reservations, see Create a reservation for a single project.
Provision your resources by creating an instance or cluster
and targeting your specific reservation.
Standard rates apply for the entire reservation period. Apply CUDs for significant savings.
Standard future reservations
For this consumption option, you reserve capacity for a future date. Standard future reservations use the standard provisioning model and are only available for general GPUs.
When you
create a compute
instance or cluster, specify the spot provisioning model. Resources
are provisioned for you as capacity becomes available, but can be
preempted at any time.
You're charged when the resources are in use. Spot VMs
automatically get discounts through
Spot VMs
pricing.
What's next
To review the available options for consuming resources, see Consumption
models.
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