Cog simplifies ML model deployment by generating Docker images from a simple configuration file, handling CUDA/cuDNN/PyTorch/TensorFlow compatibility automatically. It generates OpenAPI schemas from Python type hints and creates a high-performance Rust/Axum HTTP inference server based on model inputs and outputs. Models can be deployed to any Docker-compatible infrastructure or to Replicate’s platform.