Amazon announces SageMaker HyperPod Inference Gateway to cut first-token latency up to 82%
Amazon Web Services introduced the SageMaker HyperPod Inference Gateway, a Kubernetes‑native add‑on for EKS that routes large‑language‑model inference requests using real‑time GPU signals. The addon installs with a single command, requires no code changes, and works with any OpenAI‑compatible model server such as vLLM or TGI. In internal benchmarks the gateway lowered first‑token latency by up…
Key points
- Up to 82% reduction in first‑token latency versus round‑robin routing.
- Deploys as a single EKS managed add‑on with no application code changes.
- Benchmarked on 8B‑235B models on H100 (p5.48xlarge) and A10G (g5) instances.
Performance tests covered four models ranging from 8 billion to 235 billion parameters on H100‑based p5.48xlarge and A10G‑based g5 instances. Across three realistic traffic patterns—mixed GPU generations, bursty demand, and shared prompt prefixes—the gateway consistently outperformed default round‑robin load balancers, especially when hardware capacity varied or request spikes occurred. The system reports detailed metrics to Prometheus and CloudWatch, enabling observability and further tuning. Tier 1 per‑cluster routing is available today, with a global cross‑cluster router planned for a later release.
The story so far
2 episodes →- Amazon announces SageMaker HyperPod Inference Gateway to cut first-token latency up to 82%this story
Introducing Amazon SageMaker HyperPod Inference Gateway
AWS Machine Learning Blog · 18 September 2026
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This text was published by AWS Machine Learning Blog and written by Vinay Arora. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
Coverage and discussion
3sources- Amazon SageMaker Inference: 2026 year-to-date launches in reviewPrimary source · AWS Machine Learning Blog ·
- AWS Launches SageMaker HyperPod Inference Gateway for GPU-Aware RoutingPress · Unite.AI ·
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