Amazon SageMaker Adds Prefix-Aware Routing to Cut LLM Latency

It is a routing strategy that sends requests sharing the same prompt prefix to the same instance, keeping the KV cache warm and reducing recomputation.

By reusing cached KV for shared prefixes, it lowers time-to-first-token and raises cache hit rates, with up to 77% reduction in Llama 3.1 70B benchmarks.

Yes, especially for organizations running AI agents or assistants with repeated system prompts, as it reduces cost and improves user experience in Arabic and English chat applications.

You need to run the model on Amazon SageMaker Inference and enable the prefix-aware routing strategy, noting the benefit is greatest when prefixes repeat.