BentoML

BentoML is a platform for machine learning model deployments. It solves the problem of deploying ML models and allows for rapid development and testing of model scoring services, seamless deployment into Kubernetes clusters, and easy scaling of model services.

Key Features:

1. ML Model Deployment: BentoML provides an easy and efficient way to deploy machine learning models for production use.

2. Model Monitoring: The platform allows for real-time monitoring of deployed models, ensuring their performance and accuracy.

3. Kubernetes Integration: BentoML seamlessly integrates with Kubernetes clusters, allowing for easy deployment and scaling of model services.

4. Resource Optimization: The platform saves resources and allows for running ML at scale in production.

5. Community Support: BentoML has a supportive community that works closely with users, offering AMAs, advocacy on Slack, and customer calls.

BentoML is a powerful platform for machine learning model deployments and monitoring that offers easy deployment, real-time monitoring, Kubernetes integration, resource optimization, and community support. It is a valuable tool for companies that need to deploy and monitor ML models in production, and it has been adopted by companies like Koo, Mission Lane, Porch, LINE, and OpenLayer.