The AI Wins

MarkTechPostGoogle Cloud

Google Cloud releases llm-d 1.0 open-source inference stack for LLM serving fleets

85% lower median TTFT

Vendor-reported: median TTFT down over 85% and 2.4x throughput on an Ironwood TPU coding workload

Google Cloud and partners released llm-d 1.0, a stable Kubernetes-native layer that coordinates vLLM or SGLang model servers into one pool. A vendor-reported Ironwood TPU coding benchmark showed median time-to-first-token cut by more than 85% and 2.4x throughput.

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The tools behind this win

  • llm-dKubernetes-native router coordinating vLLM/SGLang replicas with cache-aware…
  • vLLMModel server running inference across the pool