AINewsnow

AWS SageMaker Adds Smarter Routing to Cut Self-Hosted LLM Latency

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

AWS announced prefix-aware routing for Amazon SageMaker Inference, a load-balancing feature that directs incoming LLM requests to the GPU instance most likely to already hold a matching prompt prefix in its key-value (KV) cache. Large language model inference re-processes the entire prompt on every…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-12 01:08 · DEV Community — AI
    AWS SageMaker Adds Smarter Routing to Cut Self-Hosted LLM Latency

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
  3. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  4. Amazon SageMaker Inference: 2026 year-to-date launches in review — AWS Machine Learning Blog
  5. Amazon ML Challenge 2026: Looking for Serious Teammates — r/learnmachinelearning
  6. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  7. Deploy Hugging Face models on Amazon SageMaker AI with coding agents — AWS Machine Learning Blog
  8. Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent — AWS Machine Learning Blog

Get the daily brief of stories like this at 6:30 every morning →