Skip to main content

AWS for Games

  • Customers
AWS for Games

Player Acquisition, Engagement, and Monetization

GDC 2025 Demo Showcase

Personalized experiences with AI

Personalization can improve player experiences, advertising and user acquisition effectiveness, storefront and other engagement points, but it can be challenging to gather the talent, technology and priority to get started. Today, AWS Artificial Intelligence services make it easier than ever to personalize any aspect of the player journey with accessible, low/no-code tools. This demo showcases rapid iteration on personalized images, video and playable ads using Amazon Nova.

Architecture

Personalized Experiences with AI

AWS Amplify

This architecture diagram demonstrates how AWS Amplify for Godot Engine (Open Source) allows developers to integrate AWS services into their Godot games. The Amplify environment then communicates to core layers of the game environment

Click to zoom 🔍

Architecture diagram showing how AWS Amplify for Godot Engine (Open Source) allows developers to integrate AWS services, such as Amazon CloudFront, Cognito, AppSync, and Bedrock, into Godot games for personalized experiences with AI. The diagram details user interaction flow, static asset delivery, authentication, dynamic content, leaderboard storage, analytics, dynamic ads, commentary, and asset generation with GenAI components in an AWS environment.

Analytics

This architecture diagram demonstrates the ingestion of game metrics from the Godot game into AWS. These metrics are stored, curated, and visualized, enabling analysts and developers to monitor game performance and user behavior effectively.

Click to zoom 🔍

Architecture diagram illustrating the ingestion and analytics pipeline for game metrics from the Godot engine using AWS services. The workflow shows data flowing from gameplay via AWS Amplify, Amazon API Gateway, AWS Lambda, Amazon Kinesis Firehose, S3, AWS Glue, Amazon Athena, and Amazon QuickSight, enabling analytics and visualization for game performance and user behavior monitoring.

Ad Image Generator

This architecture diagram demonstrates how the game features an Ad Image Generator architecture that uses AWS Amplify and Amazon Bedrock to create dynamic, personalized ads.

Click to zoom 🔍

Architecture diagram illustrating how a game leverages AWS Amplify and Amazon Bedrock to dynamically create personalized ad images and content. The workflow includes gameplay through a Godot environment, AWS Amplify for assets and analytics, AWS Lambda for processing requests, Amazon Bedrock Nova Micro for ad content creation, and Bedrock Nova Canvas for ad imagery.

Dynamic Commentary

This architecture diagram demonstrates how the game includes a dynamic commentary architecture that utilizes AWS Lambda, Amazon Bedrock Nova and Knowledge Bases to provide real-time, in-game commentary and assistance.

Click to zoom 🔍

Architecture diagram demonstrating a dynamic commentary solution for games using AWS Lambda, Amazon Bedrock Nova, Micro LLMs, Knowledge Bases (OpenSearch), and AWS Amplify. The solution delivers real-time, in-game AI commentary and contextual assistance, highlighting user interaction through AWS Amplify for Godot Engine, Lambda-based processing, Bedrock agents, knowledge base feedback, and live commentary for a personalized player experience.

Asset Development

This architecture diagram demonstrates how the game's asset development architecture leverages Amazon SageMaker and Amazon Bedrock to create and manage game assets efficiently.

Click to zoom 🔍

This architecture diagram illustrates how a game's asset development workflow leverages Amazon SageMaker, Amazon Q Developer, and Amazon Bedrock to curate and manage game assets efficiently. It shows the integration of AI services for 3D asset and music generation, as well as the use of Amazon Bedrock Nova Canvas, Nova Reel, and other tools to support efficient game asset and narrative curation.

Meet with an AWS for Games specialist

Contact us to learn more

Disclaimer

References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy them.
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.