AWS for Games Blog
Category: HAQM SageMaker
Implementing AI-Powered Matchmaking with HAQM 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 HAQM 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 […]
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 […]
QORPO brings generative AI features to AneeMate with AWS
QORPO elevates gaming with AWS-powered generative AI and scalable server hosting, crafting immersive experiences like “AneeMate” and “Citizen Conflict” that captivate players with personalized gameplay.
Using generative AI to analyze game reviews from players and press
Professional game reviewers and players both provide essential feedback that helps game developers and studios improve their games. Professional reviews offer expert analysis of technical aspects and design, while player reviews provide insights into real-world experiences and practical issues encountered during gameplay. Game developers, studios, and publishers face significant challenges when evaluating game reviews due […]
Modulate scales ToxMod AI voice chat moderation tool with AWS
From in-game chats to gig economy apps, social media, and beyond, digital conversations can quickly turn toxic, even dangerous. It’s a problem that Massachusetts-based startup Modulate is tackling head-on with its ToxMod voice chat moderation tool. The technology applies artificial intelligence (AI) and machine learning (ML) to voice conversations to flag problematic behavior, and has […]
Level-Up Mood Board Creation with HAQM Bedrock and Miro – Part 1
Introduction Imagine a visual canvas where ideas converge, sparking inspiration and collaboration. That’s the power of a mood board—a curated collection of images, colors, and textures that encapsulate the essence of a project. These versatile tools empower artists and designers to visualize concepts and establish a cohesive vision across various creative industries, including: Video Game […]
Gamer Arena minimizes DevOps demands, unlocks generative AI potential with AWS
Serving more than 550,000 users globally, Gamer Arena offers a unique ecosystem for video game players to compete and earn rewards. Established in 2020, the company aims to introduce gamers to the advantages of blockchain technology in a fun and exciting way. It hosts a mobile application with more than 20 self-published games, as well […]
Operationalize generative AI applications on AWS: Part II – Architecture Deep Dive
In our previous blog, Operationalize generative AI applications on AWS: Part I, we covered the basics of how companies are using generative AI and Large Language Model Operations (LLMOps) on AWS. We discussed use cases for game companies using generative AI, ways to customize LLM, and a high-level architecture for the LLMOps solution on AWS. […]
Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution
With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business. FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images. As more companies train […]