Google Cloud and Nvidia Corp. are bringing A5X cloud instances built on the NVIDIA Vera Rubin NVL72 platform to general availability next month, with planned expansion to Europe1.
A5X instances combine NVIDIA Vera Rubin NVL72 GPUs, ConnectX-9 SuperNICs, the Google Cloud Virgo Network, and Google Cloud's fourth-generation advanced liquid-cooling technology. The instances target training, inference, and large-scale reinforcement learning workloads. Google Cloud plans to scale its Vera Rubin-based infrastructure to as many as 960,000 Rubin GPUs across multiple sites.
Ineffable Intelligence, a London-based company founded by AlphaGo creator David Silver, was the first customer to access A5X. The company is using the platform to advance large-scale reinforcement learning and develop what it calls "superlearner" systems that learn continuously from experience. "We're building superlearners that continually improve through their own experience," said David Silver, founder and CEO of Ineffable Intelligence.
The use case underscores the infrastructure demands of experience-driven learning, which requires a continuous cycle of generating experience, evaluating outcomes, and updating models. A5X enters Google Cloud's AI Hypercomputer as an integrated system combining compute, networking, and storage to support that cycle at scale.
The rollout follows Nvidia Corp.'s GTC Berlin 2026 keynote on October 21, where the company detailed modular data-center designs and expanded supply-chain commitments[2]. ANALYSIS Pairing that physical-infrastructure push with a hyperscaler cloud offering gives Nvidia Corp. a path to place Vera Rubin silicon in both on-premises and cloud environments simultaneously. The 960,000-GPU target represents one of the largest single-architecture cloud GPU commitments disclosed to date by either company.