RunPod

RunPod provides cloud GPU infrastructure for developers to build, train, fine-tune, and deploy AI models. Its three core products cover different workloads: Pods provide persistent compute for development, Serverless supplies autoscaling inference endpoints that scale to zero when idle, and Clusters support distributed training and large-batch inference. Independent researchers and teams building frontier models use the platform, bringing their own containers, frameworks, and code.

Launched in 2022, RunPod grew from cryptocurrency-mining hardware repurposed by co-founders Zhen Lu, now CEO, and Pardeep Singh, CTO. Its engineering approach reduces deployment work and repeated initialization: Flash packages Python code and dependencies separately from cached base images, avoiding full image rebuilds. FlashBoot pauses containers while retaining model weights in GPU memory, allowing them to resume without reloading the model when warm capacity remains available.

By June 2026, the company reported more than one million developers and over 20 billion cumulative Serverless inference requests. Its reported annualized revenue run rate reached approximately $240 million. That June, RunPod announced $100 million in growth financing led by Summit Partners at a $1 billion valuation, with capital intended to expand its platform, engineering team, and global developer access.