Introducing Amazon SageMaker HyperPod Inference Gateway

Artificial Intelligence · 5d ago
Products & Tools API & Dev Tools

How-To How to actually use this

What changed: Amazon SageMaker HyperPod Inference Gateway is a new Kubernetes-native add-on for Amazon EKS that routes inference requests to the best GPU pod using real-time signals, reducing first-token latency by up to 82%.

How to use it:

  1. Deploy the HyperPod Inference Gateway add-on to your existing Amazon EKS cluster.
  2. Ensure your model servers are running as pods on the cluster with GPU resources.
  3. Point your inference client applications to the Gateway's service endpoint instead of individual pods.
  4. The Gateway automatically routes requests based on real-time GPU load and pod health.

Good for: teams running GPU inference on EKS who need lower latency without modifying models or clients.

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.

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