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NEWS · COMPANIES · #209

Amazon SageMaker Inference adds prefix-aware routing to reduce LLM latency

Amazon SageMaker Inference now offers prefix-aware routing, a strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on Llama 3.1 70B, this reduced P50 time-to-first-token by up to 77% and increased KV cache hit rates from about 25% to over 80%.

KEY POINTS

  1. Amazon SageMaker Inference now offers prefix-aware routing, a strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm.
  2. In benchmarks on Llama 3.1 70B, this reduced P50 time-to-first-token by up to 77% and increased KV cache hit rates from about 25% to over 80%.
  3. Keeping KV caches warm via prefix-aware routing can substantially reduce time-to-first-token and improve efficiency for large LLM deployments.

WHY IT MATTERS

Keeping KV caches warm via prefix-aware routing can substantially reduce time-to-first-token and improve efficiency for large LLM deployments.

SOURCES & TIMELINE

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AWS MACHINE LEARNING FIRST-PARTY
Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference

Amazon SageMaker Inference now offers prefix-aware routing, a routing strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on Llama 3.1 70B, it reduced P50 time-to-first-token by up to 77% and raised KV cache hit rates from about 25% to over 80%.

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