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Frontier artificial intelligence (AI) startup Ineffable Intelligence has selected Google Cloud as its exclusive infrastructure partner to develop the world\u2019s first \u201csuperlearner\u201d. The partnership comes hot on the heels of a $1.1bn (\u00a3860m) seed round announcement in April.<\/p>\n
The deal, announced at the Google Cloud Summit in London this week, will result in the startup deploying<\/a> one of the world\u2019s largest clusters of Nvidia Vera Rubin NVL72 GPUs<\/a> (A5X) to power research into systems that can discover knowledge through their own experience rather than human-provided datasets.<\/p>\n Ineffable Intelligence was founded by David Silver, the UCL professor and former Google DeepMind<\/a> scientist who led the AlphaGo<\/a> and AlphaZero projects. The company is aiming to bypass the \u201chuman data ceiling\u201d that it said currently limits large language models (LLMs) such as ChatGPT and Claude.<\/p>\n April\u2019s record-setting seed round \u2013 the largest in European history \u2013 values the London-based company at $5.1bn and includes backing from Sequoia, Lightspeed and the UK government\u2019s Sovereign AI Fund.<\/p>\n Unlike traditional AI training which relies on static data, Ineffable\u2019s \u201csuperlearner\u201d is designed for experience-based learning where the model generates, evaluates and learns from its own actions in real time. This operational shift places fundamentally different demands on infrastructure and requires the high-performance networking and tightly integrated training systems such as those provided by Google\u2019s AI Hypercomputer architecture.<\/p>\n According to David Silver, CEO and founder of Ineffable Intelligence, the decision to partner with Google Cloud was driven by the need for access to orchestrated hardware and software rather than just access to raw compute.<\/p>\n \u201cWe evaluated the space and chose Google Cloud as the best fit for our reinforcement learning infrastructure,\u201d said Silver. \u201cWe aren\u2019t just looking for processors; we are building a resilient and scalable environment to make \u2018first contact\u2019 with superintelligence \u2013 AI that transcends human limitations in science, mathematics and technology.\u201d<\/p>\n The deployment utilises Google Cloud\u2019s full-stack AI Hypercomputer, incorporating Jupiter networking and optimised storage to handle the massive computational scale required for reinforcement learning. This architecture moves away from standard \u201cbox of chips\u201d provisioning to provide a systems-level optimisation that ensures researchers can focus on breakthroughs in autonomous learning rather than infrastructure bottlenecks.<\/p>\n