RunPod

RunPod is a cloud GPU infrastructure company headquartered in Miami, Florida, providing on-demand and serverless GPU compute for AI developers, researchers, and model-building teams worldwide. The company surpassed $120 million in annualised recurring revenue in January 2026, driven by strong adoption among independent AI developers and mid-sized AI companies seeking flexible compute without the minimum commitments required by hyperscalers.

RunPod offers three main product lines: Secure Cloud (enterprise-grade dedicated GPU instances on vetted partner hardware), Community Cloud (a marketplace of distributed GPU providers offering lower-cost compute), and Serverless (auto-scaling GPU endpoints with a pay-per-token or pay-per-second pricing model ideal for inference APIs). GPU availability spans NVIDIA H100, A100, RTX 4090, and L40S cards, with pricing starting from $0.19/hour for consumer-grade GPUs and $2.39/hour for H100 SXM.

The Serverless product is particularly popular for teams building AI inference endpoints that need to scale to zero between requests and burst to hundreds of GPUs during peak demand—a pattern common in AI application backends. RunPod's Pod Templates system allows one-click deployment of popular ML frameworks including PyTorch, TensorFlow, ComfyUI, and Stable Diffusion environments.

The platform is widely used by image generation studios, video AI startups, and LLM application developers who value fast provisioning, competitive pricing, and a developer-friendly API over enterprise-grade SLAs.