RunPod

RunPod is a GPU cloud platform for developers and AI teams that need access to GPUs for model training, inference, experimentation, and production workloads. It offers dedicated GPU pods, serverless inference options, and cluster-style infrastructure for teams that need scalable compute without buying hardware. For FutureStack users, RunPod matters because many AI products eventually need affordable GPU infrastructure. Builders working with image models, voice models, custom inference, fine-tuning, embeddings, or open-source model deployment need more than a chatbot subscription, and RunPod gives them a flexible compute layer. RunPod is strongest for developers who understand GPU workloads and want control over cost, hardware selection, and deployment style. It is useful for serverless APIs, notebooks, long-running pods, experiments, and production inference, but beginners should expect a learning curve around containers, regions, VRAM, and billing. Use RunPod when you need GPU compute for serious AI workloads and want pay-as-you-go flexibility. It belongs on FutureStack because users compare RunPod pricing, serverless GPU options, alternatives, and whether it is better than Modal, Replicate, Baseten, Lambda, or cloud provider GPUs.