
Runpod is a foundational platform for developers to build and run custom AI systems that scale. Trusted by more than 500,000+ developers at the world’s leading AI companies. With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.

Runpod is a foundational platform for developers to build and run custom AI systems that scale. Trusted by more than 500,000+ developers at the world’s leading AI companies. With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.
Product: On-demand GPU Pods, Serverless autoscaling GPU endpoints, and multi-node Instant Clusters for training and inference
Customers / scale: Claims more than 500,000 developers; reported $120M ARR (Jan 2026)
Founders: Zhen Lu (Co-founder & CEO) and Pardeep Singh (Co-founder & CTO)
Funding: $20M seed co-led by Intel Capital and Dell Technologies Capital (May 2024)
AI infrastructure for training and inference (GPU compute, scaling, and deployment)
2022
Cloud infrastructure / AI infrastructure
$20M
Angel and strategic participants reported to include Julien Chaumond, Nat Friedman, Amjad Masad, and Adam Lewis
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