As organizations mature in their use of AI and machine learning, they need to build repeatable, efficient, and sustainable processes for model development and deployment. Containers and Kubernetes provide essential building blocks to help operationalize these processes and support MLOperations(MLOps).

In this eBook, you’ll learn about:

 The challenges of moving from pilot to production with Machine Learning and Deep Learning at enterprise scale How containers and Kubernetes can help address these challenges as a foundation for MLOps.

Best practices from enterprises who have successfully leveraged Kubernetes for AI/ML

As organizations mature in their use of AI and machine learning, they need to build repeatable, efficient, and sustainable processes for model development and deployment. Containers and Kubernetes provide essential building blocks to help operationalize these processes and support MLOperations(MLOps).

In this eBook, you’ll learn about:

 The challenges of moving from pilot to production with Machine Learning and Deep Learning at enterprise scale How containers and Kubernetes can help address these challenges as a foundation for MLOps.

Best practices from enterprises who have successfully leveraged Kubernetes for AI/ML