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Google Cloud ships llm-d 1.0 with cache-aware routing

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

MarkTechPostby Asif Razzaq ()14 min read7 · 3 reads
AI summary · x-ai/grok-4.7Summaries by Vani AI

The captured page is a cookie notice, so routing, TPU, and GPU claims are not confirmed in the body.

The item title says Google Cloud shipped llm-d 1.0, an open-source distributed inference stack, with cache-aware routing for TPU and GPU fleets. The supplied page text is a cookie-consent banner and does not describe the release, features, or availability. No versions, benchmarks, or deployment details can be taken from the body.

Unconfirmed: Article body was not in the capture, so title claims are unverified.

Key facts
  • The title calls llm-d 1.0 an open-source distributed inference stack.
  • Cache-aware routing for TPU and GPU fleets is stated only in the title.
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From the original article

14 min read at marktechpost.com

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.

MarkTechPost

By Asif Razzaq · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.