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The CNCF Technical Oversight Committee has approved KServe as an incubating project, recognizing its role as a scalable AI inference platform on Kubernetes. Originally developed under Kubeflow, KServe supports generative and predictive AI workloads and has seen broad adoption across various industries.
This article explains how to implement large-scale inference for language models using Kubernetes. It covers key concepts like batching strategies, performance metrics, and intelligent routing to optimize GPU usage. Practical deployment examples and challenges in managing inference are also discussed.