RunPod
GPU cloud platform for AI/ML workloads — manage Pods, Serverless endpoints, templates, and network volumes, and run inference jobs.
Three ways to use RunPod
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration 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).
Get started automating RunPod
Ready-to-use workflows
Prompts using RunPod
Run your private RunPod model over a Google Sheet nightly
Every night at 2am, send pending rows from your Google Sheet to your private RunPod model, write the answers back, and post a Slack summary.
Auto-stop idle RunPod GPUs and log the savings
Every hour, stop any RunPod Pod that has been running too long, log it to a Google Sheet, and post a savings rollup to Slack.
Daily RunPod spend and idle pod digest in Slack
Every weekday at 9am, get a clear breakdown of your RunPod spend, your worst offenders, and the pods you can safely shut down, posted straight to Slack.
RunPod serverless health watchdog with Slack alerts
Check every RunPod serverless endpoint every ten minutes, decide if anything is degraded or down, and ping your on-call Slack channel only when it is.