Session
Kubernetes for Data Scientists: Running AI/ML Workloads
Unlock the potential of Kubernetes for AI and machine learning. This presentation will explore how to run and manage AI/ML workloads on Kubernetes, including setting up Jupyter notebooks, training models, and deploying inference services. Leverage Kubernetes to streamline your data science workflows and improve efficiency.
Fabrizio Sgura
Technology Leader and Chief Engineer (Platform Product Business, Distributed Architecture) at Veritas Automata
Sabaneta, Colombia
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