RunPod is an AI / GPU Cloud company founded in 2022 and based in Mt. Laurel, United States. It has raised $122M in total funding, most recently a Series A in 2026 at a $1B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jun 24, 2026 | Series A | $100M | $1B | Summit Partners |
On-demand dedicated GPU instances that developers can spin up in seconds across dozens of global regions. Pods give full control of a containerized GPU environment for training, fine-tuning, and interactive development, with a range of consumer and data-center GPUs available at competitive hourly rates. A lower-cost Community Cloud tier sources capacity from third-party hosts, while a Secure Cloud tier runs in vetted data centers, letting teams trade price against compliance needs for AI and machine-learning work.
Consumption-based serverless GPU inference that autoscales worker endpoints to match request volume and bills only for active compute time. Developers package a model or pipeline into a container and deploy it as an HTTP endpoint, with the platform handling cold-start optimization, queueing, and horizontal scaling. It is used to serve image, video, language, and audio models in production without provisioning or managing always-on GPU servers, helping teams control cost for spiky inference traffic.
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