Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI
July 13, 2020
Enterprise interest in machine learning and artificial intelligence continues to grow, with organizations dedicating increasingly large teams and resources to ML/AI projects. As businesses scale their investments, it becomes critical to build repeatable, efficient, and sustainable processes for model development and deployment.
Containers are a foundational technology for both DevOps and MLOps. Containers provide a core piece of functionality that allow a given piece of code—whether a notebook, an experiment, or a deployed model—to run anywhere. In this book we explore the role that the container orchestration system Kubernetes plays in supporting MLOps.