How Can AWS SageMaker and Kubernetes Integration Help ML Developers?

Container management tools such as Kubernetes streamlines the development of applications; therefore, since its release ten years ago, it has been orchestrating containerised applications. Various organisations have embraced Kubernetes to train, evaluate, and deploy containerised machine learning models.  However, delivering a machine learning model is cumbersome as it usually gets bulky. To address these challenges, AWS has introduced SageMaker for Kubernetes users to work with containerised machine learning models effortlessly. Kubernetes’ Unique Challenges Kubernetes facilitates a lot of features to the table such as portability, management, among others, but at the same time, it brings unique challenges associated with it. For one, the infrastructure requires additional