AWS for Games Blog

Category: Artificial Intelligence

Yggdrasil Gaming boosts speed, resilience, and innovation with GOStack and AWS

Global online casino games developer and publisher Yggdrasil Gaming set out to overcome the limitations of its legacy infrastructure and position itself for an AI-driven future. It partnered with software engineering provider GOStack and Amazon Web Services (AWS). The result: a high-performance, scalable platform that reduced infrastructure costs by 30%, increased processing capabilities sixfold, and […]

Revolutionizing games with small language model AI companions

In-game generative AI is enabling new player experiences. However, implementing AI-driven features in games can be challenging due to latency and device computing power. We’ll explore one innovative solution: leveraging players’ mobile devices to run small language models (SLM) as companion applications. Instead of integrating SLM features directly into resource-constrained game environments, consider developing a […]

SportsCapital launches real-time event detection for sports trading powered by AWS

This blog was coauthored by Aaron Riccio, Co-Founder and CEO of SportsCapital, and Pravin Santhanam, CTO of SportsCapital. Sportsbooks rely on trading teams to manage odds and prevent sharp bettors from exploiting inefficiencies in their pricing. News events, such as reports of player injuries or lineup changes, introduce volatility that can shift the market at […]

Implementing AI-Powered Matchmaking with Amazon GameLift FlexMatch

In competitive multiplayer games, skill-based matchmaking is crucial for creating fun and engaging games. Determining player skill today is difficult due to the vast array of metrics games record such as hits, misses, assists, time played, level, and more. This can make it challenging to manually determine which factors are most indicative of skill. Instead […]

Training AI models for skill-based matchmaking using Amazon SageMaker AI

In competitive multiplayer games, skill-based matchmaking is crucial for creating fun and competitive games. Determining player skill today is difficult due to the vast array of metrics games record (such as hits, misses, assists, time played, level, and more), making it challenging to determine which factors are most indicative of skill. Instead of manually creating […]

AWS GDC 2025 Highlights

Nearly 30,000 attendees were welcomed to the March 2025 Game Developers Conference (GDC) at the Moscone Convention Center with an official ribbon cutting by the Mayor of San Francisco. Games industry professionals, executive and enthusiasts visited the Amazon Web Services (AWS) for Games GDC booth to witness how the cloud, AI, and real-time streaming are […]

FotMob delivers near real-time football updates to millions of fans with AWS

The world’s most-watched sport, professional football (soccer) attracts a global fanbase of five billion people. With hundreds of thousands of players participating in matches across the world, the sport also generates staggering amounts of data, from goals to saves, assists, and beyond. In today’s connected world, fans want real-time access to all the match, player, […]

AWS to showcase tools for breakthrough gaming experiences at GDC 2025

AWS for Games will showcase cloud solutions for game development at GDC 2025, featuring demos of their new game streaming technology, technical sessions with industry leaders, and playable experiences that demonstrate how AWS services support the entire game development lifecycle.

Build High-Performance Unreal Engine Studios with Remāngu 2.0 and AWS

This blog is co-written by Stepan Kaiser, CEO of Remāngu and Jan Sechovec, CTO of Remāngu. Game studios, with geographically distributed teams, are challenged with creating and delivering innovative, increasingly complex, games across multiple platforms, on time and on budget. The Remāngu 2.0 platform is addressing these challenges head-on with its comprehensive cloud-native game development […]

Level-Up Mood Board Creation with Miro and Amazon Bedrock – Part 2

This blog is co-written by Sean Winters, Senior Platform Architect, Miro. Creation of mood boards can feel overly complex or take a lot of time to create and iterate on. We’ll show how you can integrate generative artificial intelligence (AI) capabilities, image generation models, directly in a Miro board using Amazon Bedrock APIs, enabling better […]

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