{
  "id": 8250523,
  "title": "Introducing Amazon SageMaker HyperPod Inference Gateway",
  "url": "https://urgent.news/2026/09/18/introducing-amazon-sagemaker-hyperpod-inference-gateway",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-18T13:08:34.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-hyperpod-inference-gateway/"
  },
  "original_language": "en",
  "account": "Eliminate GPU waste and cut first-token latency up to 82% using Amazon SageMaker HyperPod Inference Gateway. This Kubernetes-native solution installs as a single EKS managed addon on existing HyperPod infrastructure, requiring no application changes. The naive routing system in GPU clusters causes inefficiencies, such as uneven GPU utilization and high first-token latency during traffic bursts. The HyperPod Inference Gateway solves these issues with a two-tier architecture consisting of a Per-cluster gateway and a Global Inference Router. The Per-cluster gateway, installed as an EKS managed addon, uses a Body-Based Router to inspect request bodies and route them to the correct model pool based on factors like KV cache utilization, queue depth, LoRA adapter residency, and prefix cache hit rate. The Global Inference Router, still in development, adds fleet-wide coordination across clusters and regions. With a single addon and declarative InferenceGatewayConfig custom resource, the gateway can be deployed in just five minutes, providing a standard OpenAI-compatible endpoint without any SDK changes or SigV4 signing for inference traffic.",
  "summary": "Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing add-on for Amazon EKS. It uses real-time GPU signals to send each inference request to the best-suited pod, cutting first-token latency by up to 82% with no changes to your model servers or client applications.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}