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, TP…
Open-weights releases pressure closed pricing and widen access, changing the build-vs-buy math for the whole ecosystem.
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