RunPod
A container-oriented GPU Pod API suited to experiments, inference workers, and direct GPU selection.
- Provisioning
- REST Pods API · POST /v1/pods
- Credentials
- Bearer API token
Product 06 · AI Compute
Estimate the GPU memory class, compare verified provisioning APIs, and export a reviewable brief—without connecting a provider account or pretending volatile prices are fixed.
Capacity advisor
This estimates memory class and provider fit. It does not query inventory, quote prices, create accounts, or provision resources.
Provisioning API directory
Official documentation reviewed August 2, 2026. Prices, inventory, quotas, regions, and product names can change; verify them directly before spending.
A container-oriented GPU Pod API suited to experiments, inference workers, and direct GPU selection.
A focused REST API for launching and managing GPU instances, images, SSH keys, filesystems, and firewalls.
A broad infrastructure API with GPU instance families, networking, IAM, storage, Spot, and mature lifecycle controls.
A REST and client-library surface for creating VMs with attached accelerators, IAM, networks, disks, and reservations.
An Azure Resource Manager API for creating GPU VMs within subscriptions, resource groups, networks, and identity controls.
A Kubernetes-first AI cloud whose CKS API creates and manages clusters before GPU node pools and workloads are attached.
Clear boundary
The calculator, ranking, provider directory, and exported brief run in your browser. They require no Run Any AI account, AI API key, provider key, or database.
Actually creating infrastructure requires a provider account and a server-side control plane for encrypted credentials, user authorization, job state, quotas, rate limits, budget controls, audit logs, and reliable cleanup. Nginx alone is not sufficient for that stage.