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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 VM or
cluster, specify the reservation-bound provisioning model. VMs 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 VM or
cluster, you must specify the reservation-bound provisioning model.
VMs 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.
When your requested capacity becomes available, Compute Engine
provisions it. You obtain resources for up to seven days.
You're charged when the resources are in use. Resources provisioned
using Flex-start automatically get discounts through
Dynamic Workload Scheduler pricing.
Spot
For this consumption option, no reservation is required. To get
Spot resources, the process is as follows:
When you
create a VM 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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["AI Hypercomputer supports several\n[consumption options](/ai-hypercomputer/docs/consumption-models#comparison_of_consumption_options)\nto help you get and use compute resources. This document provides an overview of\nhow you can obtain capacity for each consumption option.\n\nHow to obtain capacity\n\nThe following table describes how you can obtain capacity for each consumption\noption.\n\n| Consumption option | Process for obtaining capacity | Pricing implications |\n|--------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| Future reservations in AI Hypercomputer | To get future reservation resources, the process is as follows: 1. [Reserve capacity by contacting your account team.](/ai-hypercomputer/docs/reserve-capacity) 2. Quota is automatically increased before capacity is delivered. No action is required from you. 3. When you [create a VM or cluster](/ai-hypercomputer/docs/create/create-overview), specify the reservation-bound provisioning model. VMs 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](/compute/docs/instances/reservations-overview#reservation-billing) section of the Compute Engine reservations documentation. |\n| Future reservations for less than 90 days (in calendar mode) | To get future reservation resources, the process is as follows: 1. [Search for available capacity and reserve resources by using the Google Cloud console, gcloud CLI, or Compute Engine API](/compute/docs/instances/create-future-reservations-calendar-mode). 2. No quota is charged and no action is required from you. 3. When you [create a VM or cluster](/ai-hypercomputer/docs/create/create-overview), you must specify the reservation-bound provisioning model. VMs 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](/products/dws/pricing). |\n| Flex-start ([Preview](/products#product-launch-stages)) | For this consumption option, *no reservation is required*. To get Flex-start resources, the process is as follows: 1. You must request [preemptible quota for the GPU machine type](/compute/resource-usage#gpu_quota) that you want to use. 2. When you create VMs or clusters by using one of the following options, specify the flex-start provisioning model: - [Create MIGs with resize requests](/ai-hypercomputer/docs/create/create-mig-with-a4-or-a3ultra) - [Create Slurm clusters](/ai-hypercomputer/docs/create/create-slurm-cluster) - Create GKE clusters: - [Create a cluster with the default configuration](/ai-hypercomputer/docs/create/gke-ai-hypercompute) - [Create a custom cluster](/ai-hypercomputer/docs/create/gke-ai-hypercompute-custom) When your requested capacity becomes available, Compute Engine provisions it. You obtain resources for up to seven days. | You're charged when the resources are in use. Resources provisioned using Flex-start automatically get discounts through [Dynamic Workload Scheduler pricing](/products/dws/pricing). |\n| Spot | For this consumption option, *no reservation is required*. To get Spot resources, the process is as follows: 1. You must request [preemptible quota for the GPU machine type](/compute/resource-usage#gpu_quota) that you want to use. 2. When you [create a VM or cluster](/ai-hypercomputer/docs/create/create-overview), 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](/compute/docs/instances/spot#pricing). |"]]