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RunPod

GPU cloud for AI builders, with on-demand pods, autoscaling serverless endpoints, and multi-node clusters billed by the second.

In inglese

RunPod was founded in 2022 by Zhen Lu and Pardeep Singh after the two ran into the same wall every ML engineer hits: renting a GPU for a side project or a startup workload meant either overpaying a hyperscaler or wrestling with bare-metal providers built for enterprises. They started RunPod as a marketplace-style cloud that lets developers rent GPUs by the hour with none of the procurement overhead of AWS or GCP. The platform spans three main products: Pods, on-demand containers for training and interactive development across dozens of GPU types from RTX 4090s to H200s and B200s; Serverless, autoscaling GPU endpoints that spin down to zero between requests and use FlashBoot technology for fast cold starts; and Instant Clusters, multi-node setups with InfiniBand networking for distributed training. Billing runs per second across all three, with spot pricing for interruption-tolerant workloads sitting well below on-demand rates. RunPod is remote-first with team members across the US, Canada, Europe, and India, and closed a $100 million Series A led by Summit Partners that valued the company at roughly $1 billion, following an earlier seed round backed by Intel Capital and Dell Technologies Capital.

Founded
2022
Headquarters
San Francisco, United States
Sector
infrastructure

Key people

  • Zhen Lu — Co-founder & CEO
  • Pardeep Singh — Co-founder & CTO

Tools

  • RunPod Serverless

    RunPod Serverless deploys containerized AI inference endpoints that autoscale GPU workers and bill compute by the second.

  • RunPod Pods

    RunPod Pods are dedicated cloud GPU instances for AI development, training, inference, batch jobs, and long-running workloads.

Official website