Modal

Modal is a serverless cloud platform for running AI, machine learning, GPU, batch, and backend workloads. It lets developers deploy Python functions, containers, scheduled jobs, inference services, notebooks, and data processing tasks without managing traditional cloud infrastructure. The platform is especially useful for AI founders and SaaS builders who need GPUs or scalable compute but do not want to provision servers manually. Modal can scale workloads up and down based on demand, making it useful for inference APIs, image generation pipelines, batch processing, fine-tuning jobs, model experiments, and internal ML tools. Modal's pricing model focuses on actual compute usage, with separate resource costs for CPUs, memory, GPUs, storage, and plan-level workspace features. This makes it attractive for spiky workloads where traditional cloud instances may sit idle. For FutureStack, Modal belongs in Developer Tools because it helps technical builders ship AI infrastructure faster. It is best for developers and founders who need practical compute for model-serving, data jobs, agent backends, automation systems, and production AI workloads.