One signal

AWS has launched Amazon SageMaker HyperPod Inference Gateway, a Kubernetes-native add-on that routes LLM requests using live GPU signals rather than simple round-robin balancing. AWS says the system can reduce first-token latency by up to 82%, with p99 reductions of 97% to 98% in its mixed-hardware and burst-traffic tests.

Why it matters

The gateway exposes one private endpoint per cluster and can direct requests to the right model or GPU pool without application-code changes. Its endpoint picker considers six signals, including queue depth, KV-cache use, LoRA adapter residency, predicted latency and active requests. It works with OpenAI-compatible servers such as vLLM and SGLang.

Discuss: Is intelligent GPU routing becoming essential infrastructure for serious LLM services, or another optimisation whose value depends too heavily on AWS’s test conditions?

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