RunPod
GPU cloud platform for AI/ML workloads — manage Pods, Serverless endpoints, templates, and network volumes, and run inference jobs.
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Three ways to use RunPod
Ask your specialist
Pull data, take actions, or answer questions with this integration, right in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with RunPod.
Cancel Serverless Job
Cancel a queued or in-progress Serverless job.
Create Container Registry Auth
Save credentials for a private container registry.
Create Network Volume
Create a persistent network volume in a specific data center.
Create Pod
Provision a new GPU or CPU Pod.
Create Serverless Endpoint
Create a new Serverless endpoint backed by a saved template.
Create Template
Create a reusable Pod or Serverless template (image, env, ports, disks).