Yes, AI Can Run on 8GB RAM and a Mobile GPU

Entry is by approval only, expect confirmation emails by Monday, the 21st of September🖐️ Slapping a ChatGPT wrapper on a text field doesn't make you an AI engineer anymore. Join GDG MAD as we officially cut the cord on expensive cloud APIs and dive straight into the guts of Mobile AI. We’re talking local GGUF models, autonomous agents that debug your runtime for you, and surviving the absolute chaos of the 2026 Android stack. Zero latency, zero cloud bills, and somehow, zero hype. What to Expect Back in the day, adding AI to an app meant paying a cloud provider 5 cents every time a user sneezed. What a time we lived in, but that time has passed. Welcome to the era of on-device intelligence, where your app's capabilities are entirely dependent on how well you can cram a GGUF model into local memory without melting your user's battery, backplate, and half-yellow rubber case. In this month's event, we're skipping the theoretical fluff and diving straight into the deep end of the Mobile x AI ecosystem. We will explore the current landscape of on-device models (yes, the ones currently making cloud executives nervous), how to build autonomous agents that can actually debug your app at runtime, and more. Agenda Beyond Code Gen: Building Developer Tools for AI Agents, by Shreyas Patil, Senior Android Engineer, Deliveroo, GDE Android I Deleted the Internet from My AI App, by Dishant Gandhi, AI consultant and Public speaker The Intelligent OS: AI Inside, Around, and Behind Your App, by Mansi Tanna, Senior Mobile developer, Würth IT india How to Attend Sign up using the button below, and we'll send out confirmations and QR codes by Monday, the 21st of August. Only confirmed attendees will be allowed entry at the venue.