Runpod Company Stability & Growth

What metric/milestone best captures strength this year?

It’s our continued developer adoption with roughly 500,000 using the platform to bring their AI ideas to life. This velocity has held strong and best demonstrates that the thesis from the beginning has held true: Make it easier for AI developers to build and launch AI systems that scale.

Where are you strongest competitively — and what proof backs that?

We are built by developers, for developers. We see this in the breadth of use cases deployed on Runpod; nearly every major dev tool, both new and mature, and both large and small models have been used in conjunction on Runpod to build AI systems that scale. From training and fine-tuning to inference and production, developers continue to push the limits of AI with Runpod. 

However, what is perhaps the most invigorating is that we see the developers ranging from hobbyists to startups to large enterprises, and have been able to meet the needs across the spectrum. Being close to the people and ideas that go from a figment of imagination to a proof of concept and, ultimately, production is not only about competition but the right place to be for the maturity of the market and innovation to come. We remain committed to focusing on the people and communities that make AI “real.”

What expansion bet excites you — and what leading indicator will you watch?

We are excited about our increased ability to support larger organizations both from a product and support/services perspective. This readiness and increased capabilities extend value to our builders and developers. While many are still looking for pay-as-you-go as they establish/validate their ideas, there is a substantial cohort looking at Runpod as an ongoing partnership and critical cornerstone for their AI development stack. They are relying on us to help them not only power their AI systems but also serve as the connectivity layer to that required “compute” and solve complex projects together. We are becoming engrained in their dev lifecycle and business strategy overall. The indicators we see and continue to focus on are an increase in the volume of models and systems used on the platform, and requests to be extended, as the software, on top of infrastructure, regardless of location/provider.