Using Alluxio to Optimize and Improve Performance of Kubernetes-Based Deep Learning in the Cloud Featuring Alibaba Cloud Container Service Team Case Study This article presents the collaborative work of Alibaba, Alluxio, and Nanjing University in tackling the problem of Artificial Intelligence and Deep Learning model training in the cloud. We adopted a hybrid solution with a data orches-tration layer that connects private data centers to cloud platforms in a containerized environment. Various perfor-mance bottlenecks are analyzed with detailed optimizations of each component in the architecture. Our goal was to reduce the cost and complexity of data access for Deep Learning training in a hybrid environment, which resulted in over 40% reduction in training time and cost. WHIT

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