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BentoML provides a unified inference platform that simplifies the deployment and scaling of AI models. It offers both an open-source framework and a cloud platform (BentoCloud) to build scalable AI systems with flexibility and speed. The platform allows users to deploy models on any cloud infrastructure, iterate faster, and reduce costs. It supports various AI applications such as LLM endpoints, batch inference jobs, custom inference APIs, and more. BentoML aims to address the complexities of AI inference, including performance, scaling, cost, security, and governance, by providing tools for building, scaling, and managing AI deployments.
Major Markets
Key Competitors
Seldon
KFServing (now KServe)
Seldon
Strong Kubernetes integration
Open-source platform
Enterprise features
Limited market awareness
Reliance on open-source
Complex setup
Growing MLOps market
Kubernetes adoption
Demand for scalable model serving
Competition from cloud providers
Rapid technology changes
Security concerns
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