Training Machine Learning (ML) models on Kubernetes
Kubernetes Bytes
Evolution of Kubernetes for AI Workloads
Bernie Wu, VP of strategic partnerships at Membridge, discusses the transition of Kubernetes from stateless to handling stateful operations for AI workloads. The chapter emphasizes challenges in managing data-intensive batch operations, the need for real-time information in AI models, and the evolution of inferencing towards multi-query pipelines. It also covers the pipeline of training machine learning models on Kubernetes and the infrastructure complexities involved in different phases.
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