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Google outlines network architectures for AI inference serving

cloud.google.com by Ammett Williams Editor score 7/10

The reference architectures use a stable entry point, such as a Cloud Load Balancer or Inference Gateway, to handle TLS, API management and policy enforcement across GKE and other backends. These patterns help centralize governance for multi-model serving.

What

Google describes reference networking architectures for AI inference serving on GKE and on other backend types.

How

Cloud Load balancer and Inference Gateway can act as stable entry points for inference calls, terminating TLS and integrating with API management.

Why it matters

A centralized entry point gives engineers a place to enforce policy, security, and logic for inference traffic.

Read on cloud.google.com →

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