About BentoML
A unified inference platform and open-source framework for packaging, deploying, and scaling model inference APIs and multi-model pipelines on any cloud or Kubernetes.
Key Features
- Model packaging & APIs — package models into reproducible service containers and expose standard APIs.
- High-performance serving — batching, task queues, multi-GPU support, and optimizations for low latency.
- Deployment automation — CLI and platform features to create deployments, autoscaling, and CI/CD integration.
- Extensive examples & runtime integrations — support for LLMs, vLLM, and many model runtimes.
Use Cases & Best For
Developers and platform teams building production inference APIs and multi-model pipelines.
Organizations needing a unified, framework-agnostic inference stack with deployment automation.
About MLOps & Monitoring
Model operations and lifecycle management