Generative AI on Kubernetes: Operationalizing large language models

Taking generative AI models into production requires reliable infrastructure for serving, scaling, and managing workloads. This O’Reilly resource explores how Kubernetes can support the deployment and operation of large language models and other generative AI systems. Learn about the fundamentals of model inference, production deployment patterns, and tools from the cloud-native AI ecosystem. With technical explanations and practical examples, the guide helps engineers and platform teams understand the operational considerations involved in delivering AI inference at scale.

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