The Cloud Built for AI - GPU cloud computing platform for AI and machine learning workloads
Tool to create a new GPU cluster for multi-node distributed computing workloads on RunPod. Use when you need to deploy multiple pods with shared configuration for parallel processing, ML training, or HPC workloads.
Tool to create a new secure secret in RunPod for credential management. Use when you need to store sensitive values like API keys, passwords, or tokens that will be accessible in pods and endpoints via environment variables (RUNPOD_SECRET_<name>).
Tool to delete container registry authentication from RunPod. Use when you need to remove stored registry credentials.
Tool to remove a RunPod template via GraphQL mutation. Use when you need to delete a template that is no longer needed. The template must not be in use by any pods or assigned to any serverless endpoints, otherwise the operation will fail.
Tool to retrieve available GPU types and their specifications, pricing, and availability from RunPod. Use when you need to find GPU options for deployment.
Retrieve basic information about the authenticated user including ID, email, and security settings. Use this to get the current user's ID, email address, terms of service status, and MFA settings. Note: Access to financial fields (balance, spending, etc.) requires elevated API key permissions.