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View, browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. With this Session Viewer, you can view session and speaker details for Game Developers Conference 2024.

You will be able to build your schedule with the GDC Mobile App. The GDC 2024 app will be available for download in Apple Apps and Google Play late February 2024.

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Real-Time Personalization in Mobile Gaming with On-Device ML (Presented by NimbleEdge)

Varun Khare  (Chief Executive Officer, NimbleEdge)

Location: Room 3001, West Hall

Date: Thursday, March 21

Time: 3:00 pm - 3:30 pm

Pass Type: All Access Pass, Core Pass, Summits Pass, Expo Pass, Audio Pass, Indie Games Summit Pass - Get your pass now!

Topic: Programming

Format: Sponsored Session

Vault Recording: Video

Audience Level: Intermediate


Personalization is well-known to improve gamer engagement significantly. However, most developers rely on outdated, historical user data for personalization, missing out on rich insights regarding session context from real-time user-game interactions. This is largely due to a) prohibitively high cloud costs of handling and processing real-time session data on cloud and b) difficulty of deploying and maintaining real-time ML models on-device

We propose a novel approach to overcome these challenges, using our managed on-device ML platform. The platform executes data processing, inference as well as training on-device to deliver cost-efficient, real-time personalization at scale. This results in significant improvement in gamer experience and conversion, with minimal end-to-end latency and CPU and battery usage spike


Attendees will learn how to improve engagement in mobile gaming with real-time personalization using on-device Machine Learning (ML). The session discusses how on-device ML enables cutting-edge use-cases which delight gamers, including real-time personalized recommendations, promotions, and anti-cheat systems, while delivering significant cloud cost savings (>50%) and minimal latency (<50 ms)

Intended Audience

Leaders or practitioners in machine learning, AI, data science or software engineering who are interested in or working on personalization in mobile gaming

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