GKE on AWS lets you manage GKE clusters running on AWS infrastructure through the GKE Multi-Cloud API. Combined with Connect, GKE on AWS lets you manage GKE clusters on both Google Cloud and AWS from the Google Cloud console. Learn more about how GKE on AWS works.

When you create a cluster with GKE on AWS, Google creates the AWS resources you need and brings up a cluster on your behalf. You can then deploy your workloads with the gcloud and kubectl command-line tools.

Get started for free

Start your next project with $300 in free credit

Build and test a proof of concept with the free trial credits and free monthly usage of 20+ products.

Related videos

Learn more → https://goo.gle/AIMLonGKE With Google Kubernetes Engine (GKE), you can implement a robust, production-ready AI/ML platform with all the benefits of managed Kubernetes. This video provides an overview of the AI/ML capabilities of GKE.

Jia Li, Co-Founder and Chief AI officer at LiveX AI describes how they built custom AI chat agents to deliver truly human-like customer experience on Google Kubernetes Engine and NVIDIA NIM and NVIDIA A100 GPUs. GKE has allowed LiveX AI to ramp up

Looking to simplify your multicloud Kubernetes deployments? In this video, we show how Anthos can help, with a very specific focus on running Anthos clusters on Microsoft’s Azure. We start with a general discussion on Anthos, and then cover Anthos on