BentoML

BentoML is an open-source platform for building, shipping, and scaling ML models in production. It simplifies the process of taking ML models from development to production deployment with a focus on performance and reliability. Key features include framework-agnostic model serving (supports PyTorch, TensorFlow, Scikit-learn, XGBoost, etc.), automatic API generation with OpenAPI specs, containerization with optimized Docker images, adaptive batching for high throughput, model versioning and management, distributed serving with Kubernetes, observability and monitoring, multi-model serving, GPU optimization, and cloud deployment with BentoCloud. BentoML is used by ML engineers and data scientists to deploy models reliably at scale.