The number of clusters running data apps on Google Kubernetes Engine has grown exponentially, doubling every year since 2019. With the rise of AI/ML along with accelerated compute, data architectures are gaining importance. Join this session to learn about Kubernetes data architectures for AI/ML, storage best practices, data availability and customer use cases. This session is meant to educate you about retooling your skill set for the new paradigm of data on Kubernetes.

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