Shypd.aiThe largest open index of AI toolsRanvier is an open-source Coding & Development tool that optimizes LLM inference by intelligently routing requests. It uses content-aware routing to reduce redundant computation and improve GPU utilization, leading to faster responses and increased throughput.
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Ranvier is a Layer 7+ load balancer specifically designed for Large Language Model (LLM) inference, addressing the inefficiency of traditional load balancers that waste GPU resources. It implements content-aware routing by inspecting token sequences and directing requests to the GPU that already holds the relevant KV cache, thereby skipping redundant prefill computations. Built on C++20 and the Seastar framework, Ranvier offers sub-millisecond routing overhead for pre-tokenized requests. This approach significantly improves cache hit rates, reduces P99 latency by 79-85%, and increases throughput by 13-22% in LLM clusters. Ranvier is open-source under Apache 2.0 and is engine-agnostic, working with any OpenAI-compatible backend like vLLM, SGLang, or TensorRT-LLM.
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