Runpod Raises $100M in Funding Led by Summit Partners

The company plans to use the funding to improve its platform and developer experience, while growing its engineering and developer relations teams.

Runpod is a cloud platform for AI developers, providing a single place to build, train, fine-tune, deploy, and scale AI models. Developers can handle everything from experimentation and training to inference and multi-node workloads on one platform, with ready-to-use models and templates available from the start.

The platform offers self-service access, transparent per-second pricing, and no minimum commitments, allowing most developers to launch their first AI workload within an hour of signing up.

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Runpod's growth highlights strong demand from AI developers and the platform's ability to meet their needs. Its Serverless platform has processed more than 20 billion inference requests to date.

Developers adopt and continue using Runpod because it is easy to get started. The average user launches their first workload in less than an hour, over 90% of deployments succeed on the first attempt, and 85% of developers return to build additional projects on the platform.

"Developers building with AI today need infrastructure that can keep pace with how fast the technology is moving and the flexibility to go from early experiment to production without switching platforms," said Michael Medici, a Managing Director at Summit Partners who will join the Runpod Board of Directors. "Runpod has built a platform designed to meet these needs, and in our view, the company's growth trajectory reflects the team's strong execution against that vision.

Runpod's customers range from independent AI researchers to teams building and serving frontier models. Deep Cogito built its Cogito v1 family of open models entirely on Runpod. "We trained Cogito v1, a family of models that outperforms size equivalent models from LLaMA and DeepSeek, in 75 days with a small team, entirely on Runpod," said Drishan Arora, Co-Founder and CEO at Deep Cogito. "The ability to iterate fast on world-class GPU infrastructure without building our own cluster is a genuine competitive advantage."

The platform continues to gain traction across the open-source community. "It's easy to see why Runpod has resonated so strongly with the broader machine learning community," said Julien Chaumond, Cofounder and CTO at Hugging Face. "Accessible, flexible compute is core to how we think about democratizing AI, and Runpod is one of the few companies that understands that."

"The market spent the last two years narrowing to inference, but builders need more than that," said Zhen Lu, CEO of Runpod. "They need one place to take an idea from first experiment to production traffic, without stitching together multiple tools or waiting on a procurement cycle. That is precisely the cloud we are building. This funding lets us build it faster, to serve the next million developers and more."

About Runpod

Founded in 2022 by Zhen Lu and Pardeep Singh, Runpod is a cloud platform built for AI developers. More than one million developers use it to build, train, fine tune, deploy and scale AI applications. The platform offers self-service access, transparent per second pricing, and no minimum commitments, making it easy for developers to get started and scale as needed.

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