BentoML — Deploy and Scale Machine Learning APIs

BentoML is an open-source model serving framework for software engineers and data science teams

BentoML is an open-source framework designed to help software engineers package and deploy machine learning models into production-ready APIs. It serves business owners and engineering teams who need to transform research-based models into reliable microservices without managing complex infrastructure. By providing a unified structure for model packaging, BentoML ensures that your AI applications remain consistent across development, testing, and production environments. The platform allows you to containerize models from any framework, such as PyTorch or TensorFlow, with a single command. It automatically generates optimized Docker images and handles the scaling of inference workloads to meet real-time demand. For businesses looking to maintain high availability, BentoML offers sophisticated monitoring tools to track model performance and data drift in real-time. By listing this tool on surfai.app, we highlight its ability to bridge the gap between data science and software engineering. Teams can collaborate more effectively using the centralized model store, which keeps track of versions and deployments across the organization. This system reduces the time-to-market for AI features by removing the manual overhead typically associated with model serving. BentoML operates on a freemium model where the core framework is open-source and free to use for self-hosting. For enterprises requiring managed cloud deployment and advanced security features, Bento Cloud offers usage-based pricing starting at a low hourly rate per compute instance.

• Pricing: freemium

Specifications

Other tools in this category

• LaunchDarkly
• PullRequest
• SQL CREATOR

Compare tools in this category

Visit BentoML