Google Cloud and Partners Release llm-d 1.0 Open-Source Distributed LLM Inference Stack
10/21/2026 — 10/21, 15:18·1 sources (all)·1 reports (all)
Key takeaways
- Google, Red Hat, and IBM have jointly released llm-d 1.0, an open-source Kubernetes-native stack for distributed LLM inference. This version…
Background & analysis
On October 21, 2026, Google Cloud, Red Hat, and IBM jointly released llm-d 1.0, an open-source, Kubernetes-native stack designed for distributed LLM inference. This initial version introduces cache-aware routing, multi-tenant flow control, zero-downtime upgrades, and agent-aware routing capabilities across vLLM, SGLang, TPUs, and GPUs.
AI-generated from 1 reports · updated 10 hours ago
Latest turnAccording to MarkTechPost, Google, Red Hat, and IBM have released llm-d 1.0, an open-source Kubernetes-native stack for distributed LLM inference. It introduces cache-aware routing, multi-tenant flow control, zero-downtime upgrades, and agent-aware routing across vLLM, SGLang, TPUs, and GPUs.
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According to MarkTechPost, Google, Red Hat, and IBM have released llm-d 1.0, an open-source Kubernetes-native stack for distributed LLM inference. It introduces cache-aware routing, multi-tenant flow control, zero-downtime upgrades, and agent-aware routing across vLLM, SGLang, TPUs, and GPUs.
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