BentoML is an open-source model serving framework that offers a unified standard for AI inference, model packaging, and serving optimizations.

Key Features:

• Curated list of open source models, ready to deploy and optimized for performance
• The most flexible way to serve AI/ML models in production
• Automatic scale up and down to zero, only pay for what you use

Use Cases:

• Deploying open-source LLMs, fine-tuned LLMs, custom models, generative AI models, and RAG pipelines
• Running large language models, image/video generation models, AI applications, and custom models trained with various frameworks
• Bringing your own model and utilizing the fastest cloud infrastructure for AI inference

Benefits:

• Streamlined path to production AI with reliable and secure cloud deployment
• Flexible APIs for deploying online API services, batch inference jobs, and async job queues
• Full visibility and control over compute resources and network access with the option to bring your own cloud