Machine Learning (ML) is rapidly becoming essential to businesses and institutions across the globe. Each organization must meet the challenge of provisioning a computational infrastructure that can support a resource-intensive machine-learning pipeline. While moving computation to the cloud has become the standard response to the challenge of scalability, machine learning teams have specific needs that must be considered.

Fortunately, the popular containerization orchestrator – Kubernetes – addresses these requirements so that teams can apply the flexibility of cloud-native development and infrastructure to their machine-learning applications.

In this video tutorial , hear from Yaniv Donenfeld, AI/ML Solutions, and Jiaxin Shan, Software Development Engineer, about how AWS is putting machine learning in the hands of every developer.

#Kubernetes #machinelearning #machine-learning