GKE Inference Reference Architecture, Your Blueprint for Production-Ready Inference

Deploying AI models from lab to scalable, cost-effective production is a major engineering hurdle requiring deep expertise in infrastructure, networking, security, and MLOps/LLMOps/DevOps. We’re simplifying this with the GKE Inference Reference Architecture, a comprehensive, production-ready blueprint for deploying inference workloads on Google Kubernetes Engine (GKE). This actionable, automated, and opinionated framework provides optimal GKE inference capabilities out-of-the-box.

Resources:

GKE Inference Reference Architecture Github Repo → https://goo.gle/4kSmkrX

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

Speakers: Mofi Rahman
Products Mentioned: Google Kubernetes Engine (GKE), AI Infrastructure