Modal

Modal is an AI infrastructure platform that helps developers run, scale, and deploy machine learning workloads efficiently in the cloud. They enable teams to run inference, training, and batch processing with instant autoscaling and sub-second cold starts, making it easy to execute AI workloads without managing complex infrastructure. The platform is built for performance with programmable infrastructure, elastic GPU scaling, and AI-native runtime, allowing developers to handle large-scale workloads using simple code-based workflows.

They provide a powerful ecosystem with serverless containers, multi-cloud GPU access, and unified observability, enabling users to monitor and optimize workloads in real time. Developers can use fine-tuning pipelines, sandboxed environments, batch processing, and collaborative notebooks to build and test AI applications efficiently. With high-performance storage, first-party integrations, and secure execution environments, they support use cases like LLM inference, audio transcription, image generation, and large-scale data processing.

And the best part? They offer $30/month free compute, with additional usage billed based on compute resources.