– Generative AI has become a key technology in game development, with high potential for dynamic games, better monetization, and faster market entry
– Google Cloud for Games has explored methods for training, deploying, and maintaining Generative AI for games
– The most valuable applications of Generative AI in games include game production, adaptive gameplay, and in-game advertising, which can decrease development effort, increase player engagement, and optimize monetization opportunities
Generative AI has become a prominent technology of interest in various industries, with Google Cloud for Games emphasizing its potential in online gaming to enhance game dynamics, monetization, and time-to-market. The exploration of training, deploying, and maintaining generative AI using Google Cloud aims to assist game developers in utilizing this technology efficiently. The focus is on game production, adaptive gameplay, and in-game advertising to improve core aspects of game development and enhance player engagement.
The possibilities of generative AI in games are vast, offering benefits such as reducing development efforts, improving productivity, and optimizing player engagement and monetization. The development of a Generative AI Framework for Games by Google Cloud provides templates for running generative AI models, data ingest, and storage support. This framework enables game developers to utilize generative AI for tasks like image and code generation in a sample game environment.
Contrary to common misconceptions, cloud-based machine learning for live game services is feasible and advantageous, offering reduced maintenance costs, enhanced security, and lower latency for players. Google Cloud supports various deployment approaches for generative models, including Vertex AI for low-latency serving and GKE for ultra-low latency serving alongside game servers. The integration of unified data platforms with generative models enables real-time AI-driven personalization, enhancing player experiences and engagement in live games. The demo showcases Google Cloud’s technology capabilities for real-time personalization of the game state using data, AI, and compute resources.