Kubernetes Podcast from Google cover image

AI/ML in Kubernetes, with Maciej Szulik, Clayton Coleman, and Dawn Chen

Kubernetes Podcast from Google

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Evolution of AI and ML Workloads in Kubernetes

The chapter delves into the evolution of Kubernetes from supporting stateless workloads to adapting to handle stateful workloads and the emphasis on batch workloads, especially in HPC and AI sectors. It discusses the challenges and importance of concepts like high availability, data duplication, and resource management and the ongoing efforts to enable GPU support and typology-aware scheduling. The intersection of AI and Kubernetes is explored, highlighting the collaborative contributions in the Kubernetes community to address evolving infrastructure needs and support advanced AI and ML workloads.

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