Overview
Modal is a cloud infrastructure platform purpose-built for production AI workloads. It provides the compute, storage, and orchestration primitives that teams need to develop, train, and serve AI applications at scale, eliminating the operational overhead of managing GPU clusters and container runtimes.
Developers love Modal because it feels like local development while delivering massively parallel cloud compute. With a custom container runtime optimized for large images and GPU scheduling, Modal enables instant access to single and multi-node GPU capacity, autoscaling, and zero-idle API gateways. The platform supports everything from fine-tuning and reinforcement learning to high-concurrency agent sandboxes and low-latency LLM inference.
Key Features
- Inference: Build, serve, and scale inference apps with OpenAI-compatible endpoints, optimized model deployment, and custom inference stacks.
- Training: Run reinforcement learning, SFT, LoRA, and full fine-tunes with el
