Capacity overview

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: Reserve capacity by contacting your account team. 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: Search for available capacity and reserve resources. 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: You must request preemptible quota for the GPU machine type that you want to use. When you create compute instances or clusters by using one of the following options, specify the flex-start provisioning model: Create a standalone virtual machine (VM) instance Create MIGs with resize requests Create Slurm clusters: Create a fully managed cluster Create a self-managed cluster Create GKE clusters: Create a cluster with the default configuration Create a custom cluster 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.
Spot	For this consumption option, no reservation is required. To get Spot resources, the process is as follows: You must request preemptible quota for the GPU machine type that you want to use. View resource availability in the region or zone where you want to create compute instances. 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.