<ul><li>Efficient AI inference is crucial as the world moves towards deploying AI at scale, leading to the need for better processing power.</li><li>Open-source inference engines like vLLM are being utilized to address these challenges, with full support across various Google Cloud platforms.</li><li>A new project called llm-d is introduced, aiming at making AI inference more scalable and cost-effective through Kubernetes-native distributed and disaggregated inference.</li><li>llm-d incorporates advanced serving technologies and aims at providing low-latency, high-performance inference by leveraging Google Cloud's resources and AI integrations.</li></ul>

Introducing the next generation of AI inference, powered by llm-d

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