Containers and the Kubernetes ecosystem are bringing the agility of cloud everywhere, providing a consistent user experience for applications deployed across hybrid and multi-cloud environments. These technologies also offer new opportunities to unify data engineering and machine learning workflows and make it easier and faster to build, train and deploy models consistently, at scale.
In this webinar, we introduce Cloudera Machine Learning, Cloudera’s new cloud-native machine learning platform powered by Kubernetes that makes it easy to quickly provision environments and scale resources for end-to-end data engineering and machine learning workflows, with secure data access and a unified experience across on-premises, public and hybrid cloud environments.
Learn more about:
Fast cloud provisioning and autoscaling for improved efficiency and agility
Containerized Python, R, and Spark-on-Kubernetes for scale-out data engineering and machine learning with seamless dependency management and autoscaling
Distributed GPU training for accelerated deep learning