Last year, we introduced GEM, the industry’s largest recommendation system (RecSys) foundation model. GEM established Meta’s first LLM-inspired paradigm for ads recommendation, driving major performance gains. Building on this foundation, our next goal is to further scale both compute and intelligence transfer with next-generation hardware, and expand this capability across Meta’s entire ads ecosystem. This spans dozens of surfaces and objectives, delivering seamless full-funnel optimization across awareness, consideration, and conversions.
Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI

From the official release
This is a short excerpt. Read the full announcement on the official source.
Continue on engineering.fb.com → (opens in a new window)Related stories

PlayStation Plus Game Catalog for October: Mafia: The Old Country, Horizon Forbidden West, Mycopunk and more
Sony News & PressAdam Michel
This month, descend into the criminal underworld of early 20th-century Sicily in Mafia: The Old Country, brave a deadly frontier filled with awe-inspiring machines in Horizon Forbidden West, or take on hordes of fungal enemies with an outrageous arsenal of futuristic weaponry in
Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
Google DeepMind
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Under the hood, off the hot path: how D1 scales to millions of databases
Cloudflare BlogDavid Laban
Traditional database architecture assumes you have one or two big database clusters per application, usually accompanied by a connection pooling solution. AI-assisted development and vibe coding platforms turn this model inside out and are driving applications toward many small d

Gemini 4 Argon: Built to solve your hardest problems
Google AI Blog
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.

Rewinding the exponential: How we keep hardware usage down
Cloudflare BlogCathy Chi
More than 20% of the web sits behind Cloudflare’s network, and our team, the Data team, owns the data pipeline responsible for plumbing that data (and more) from our global network to applicable central data centers. The Cloudflare network is a globally distributed system support

OCP Summit 2026: Powering AI with Open Innovations in Scale-Up, Scale-Out, and Scale-Across Networks
Meta Engineering
At the 2026 Open Compute Project Global Summit, Meta is sharing the next generation of open networking infrastructure, including: Our first liquid-cooled network rack (IcePack), and 102.4T switch platform (IceCube). Flattened Planar Fabric (FPF), a multiplane backend scale-out fa
