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Google Cloud releases llm-d 1.0 for optimized distributed AI inference

By PulseAugur Editorial · [1 sources] ·

Google Cloud has released llm-d 1.0, an open-source distributed inference stack designed to optimize large language model serving. This Kubernetes-native layer integrates with model servers like vLLM and SGLang, enabling them to function as a coordinated pool. The new version introduces features such as multi-tenant quality of service, zero-downtime upgrades, and agent-aware serving, aiming to improve performance and reliability for self-hosted AI workloads. AI

IMPACT Optimizes distributed LLM serving, potentially improving efficiency and reducing costs for self-hosted AI applications.

RANK_REASON Release of an open-source inference stack for LLMs.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google Cloud releases llm-d 1.0 for optimized distributed AI inference

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Release of an open-source inference stack for LLMs.
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets

    <p>Google, Red Hat and IBM released llm-d 1.0, an open-source Kubernetes-native stack for distributed LLM inference. It adds multi-tenant flow control, zero-downtime upgrades and agent-aware routing across vLLM, SGLang, TPUs and GPUs.</p> <p>The post <a href="https://www.marktech…

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