At some point Technology services/application collide .An increasing number of users want to run big data and AI frameworks such as Spark and TensorFlow on Kubernetes, so that they can run all their applications on a unified container platform. However, to run these high performance computing (HPC) applications, advanced scheduling functions are required, for example, fair-share scheduling, priority-based scheduling, and queue scheduling. Kubernetes is a popular container orchestration framework mainly used to deploy microservice applications in the early development phase. which AI Framework have you used ?

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