Breaking
Parallel Web Systems Raises $100M Led by Sequoia to Build the Web Data Layer for AI AgentsCode from Your Pocket: Google Launches AI Studio Mobile App to Build Apps on the GoBeyond Copilots: Google Launches Antigravity 2.0 to Automate Full-Stack Software EngineeringThe Modular Phone is Back: HMD Fusion Drops at $249 with Swappable "Smart Outfits"Fractile Hits $1B Unicorn Valuation with Massive $220M Funding to Break Nvidia’s AI GripOrigamiSwift Debuts at $85: The 40g Bluetooth Mouse That Folds Completely FlatAnthropic Acquires Stainless for $300M: A Strategic Strike at OpenAI’s Developer EcosystemGoogle Unveils Android XR Smart Glasses: The Tech Eyewear Designed to Replace Your PhoneParallel Web Systems Raises $100M Led by Sequoia to Build the Web Data Layer for AI AgentsCode from Your Pocket: Google Launches AI Studio Mobile App to Build Apps on the GoBeyond Copilots: Google Launches Antigravity 2.0 to Automate Full-Stack Software EngineeringThe Modular Phone is Back: HMD Fusion Drops at $249 with Swappable "Smart Outfits"Fractile Hits $1B Unicorn Valuation with Massive $220M Funding to Break Nvidia’s AI GripOrigamiSwift Debuts at $85: The 40g Bluetooth Mouse That Folds Completely FlatAnthropic Acquires Stainless for $300M: A Strategic Strike at OpenAI’s Developer EcosystemGoogle Unveils Android XR Smart Glasses: The Tech Eyewear Designed to Replace Your Phone

NVIDIA Partners to Build 'Superlearner' AI Factories

NVIDIA is collaborating with David Silver's Ineffable Intelligence to design data center infrastructure optimized for continuous, self-discovering AI.

hd
hardik devmurari
| 13 May 202613 May 2026
Share
NVIDIA Partners to Build 'Superlearner' AI Factories

The Engineering Challenge of Self-Discovery

NVIDIA announced today, May 13, 2026, a strategic engineering partnership with Ineffable Intelligence, the new London lab founded by AlphaGo architect David Silver. The collaboration aims to solve the unique hardware challenges posed by next-generation reinforcement learning (RL). Unlike existing pretraining workloads, which rely on static datasets, RL agents generate their data dynamically through continuous interaction. This puts unprecedented strain on memory bandwidth, interconnects, and logic processing that current systems are not optimized to handle.

Inside the 'AI Factory' Architecture

The partnership focuses on designing entire data center pods—nicknamed 'Superlearner AI Factories'—specifically for continuous experience loops. These systems are intended to support AI that learns autonomously, moving from models that interpret human knowledge to systems capable of self-discovering novel logic and scientific breakthroughs. The image generated for this story visualizes the vast, subterranean factory necessary to manage the continuous data streams.