RunPod

RunPod is a GPU cloud platform for developers building AI inference, fine-tuning, agents, and compute-heavy applications. It provides GPU pods, serverless GPU endpoints, clusters, and templates for running open-source models and custom workloads without managing traditional cloud GPU infrastructure manually. The platform is useful for AI founders and technical teams that need affordable access to GPUs for model serving, experimentation, image and video generation, training, batch jobs, and agent backends. Teams can choose from GPU types such as A100, H100, H200, RTX cards, and other high-VRAM options depending on workload. RunPod supports both long-running pods and serverless inference workers. This makes it flexible for development, production APIs, bursty inference, and workloads that need to scale up and down based on traffic. For FutureStack, RunPod fits Developer Tools because compute is a core requirement for many AI startups. It is best for developers and founders who need GPU infrastructure for building and scaling AI products, especially when they want more control than closed model APIs provide.