Provisioning API directory · Reviewed August 2, 2026

Know the control plane before choosing the GPU.

Each entry links to an official resource-creation API and explains the credential, lifecycle, and operational responsibilities a Run Any AI wrapper would inherit.

01
GPU cloud

RunPod

A container-oriented GPU Pod API suited to experiments, inference workers, and direct GPU selection.

API
REST Pods API · POST /v1/pods
Auth
Bearer API token
02
GPU cloud

Lambda Cloud

A focused REST API for launching and managing GPU instances, images, SSH keys, filesystems, and firewalls.

API
Lambda Cloud REST API · instance-operations/launch
Auth
Bearer API key
03
Hyperscaler

AWS EC2

A broad infrastructure API with GPU instance families, networking, IAM, storage, Spot, and mature lifecycle controls.

API
EC2 Query API · RunInstances
Auth
IAM credentials with Signature Version 4
04
Hyperscaler

Google Compute Engine

A REST and client-library surface for creating VMs with attached accelerators, IAM, networks, disks, and reservations.

API
Compute Engine REST API · instances.insert
Auth
OAuth access token through IAM or workload identity
05
Hyperscaler

Azure Virtual Machines

An Azure Resource Manager API for creating GPU VMs within subscriptions, resource groups, networks, and identity controls.

API
Azure Compute REST API · Virtual Machines Create or Update
Auth
Microsoft Entra OAuth through a managed identity or service principal
06
AI infrastructure

CoreWeave

A Kubernetes-first AI cloud whose CKS API creates and manages clusters before GPU node pools and workloads are attached.

API
CKS REST API · POST /v1beta1/cks/clusters
Auth
Bearer API access token