A New Approach Towards Deployment and Management of Machine Learning Models Using K-serve Platform for Building Robust Machine Learning Systems

Kserve, commonly referred to as KFServing, is an open-source serving framework for machine learning (ML) models that runs on Kubernetes. enables the deployment, servicing, and management of ML models in a production environment in a scalable and effective manner. Kserve resources make it easier to develop scalable and reliable machine learning serving systems by streamlining the deployment and management of ML models in production. With contributions from several organisations and developers in the ML community, it is a dynamic open-source project. The influence that Kserve’s work has had on the Data Science community is extensively covered in this research. This research also discusses the Kserve design, elements, and features. The additional Kserve platforms that aid in the deployment and administration of machine learning models for creating reliable machine learning systems have also been brought to light.