KubeCon + CloudNativeCon North America 2017

Kubernetes promises to be a multi workload platform. This talk will explore how Kubernetes can be easily leveraged to build a complete Deep Learning pipelines starting all the way from data ingestion/aggregation, pre-processing, ML training, and serving with the mighty Kubernetes APIs. This talk will use Tensorflow and other other ML frameworks to highlight the value that Kubernetes brings to Machine Learning. Along the way, key infrastructure features introduced to abstract and handle hardware accelerators which make Machine Learning possible will also be presented.