Published on: 2025-07-01 14:37:47
llm-d is a Kubernetes-native high-performance distributed LLM inference framework - a well-lit path for anyone to serve at scale, with the fastest time-to-value and competitive performance per dollar for most models across most hardware accelerators. With llm-d, users can operationalize gen AI deployments with a modular, high-performance, end-to-end serving solution that leverages the latest distributed inference optimizations like KV-cache aware routing and disaggregated serving, co-designed
Keywords: inference latency llm performance vllm
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