谷歌云拟部署96万块Rubin GPU,A5X下月推出
谷歌云与英伟达宣布,基于英伟达 Vera Rubin NVL72 的 A5X 实例将于下个月正式可用,并计划将可用范围扩展至欧洲。该实例整合英伟达 ConnectX-9 SuperNIC、谷歌云 Virgo 网络与第四代液冷技术;谷歌云还计划在多个站点部署最多 96 万块 Rubin GPU。据英伟达公告,由 AlphaGo 创造者 David Silver 创办的伦敦公司 Ineffable Intelligence 率先接入 A5X,用于大规模强化学习。
公告称该计划将把 Vera Rubin 算力扩展至多个站点、最多 96 万块 GPU,面向训练、推理和大规模强化学习负载。
General availability of the instances is coming next month, with planned expansion of availability to Europe — bringing an integrated platform for training, inference and large-scale reinforcement learning to cloud customers.
A5X instances bring together NVIDIA Vera Rubin NVL72, NVIDIA ConnectX-9 SuperNICs, Google Cloud Virgo Network and Google Cloud’s fourth-generation advanced liquid-cooling technology for demanding agentic inference and reinforcement learning workloads at scale. 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 technology company founded by AlphaGo creator David Silver, was the first customer to access A5X. Ineffable is using the platform to advance large-scale reinforcement learning and shape “superlearner” systems that learn continuously from experience.
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Learning through interaction requires a continuous cycle of generating experience, evaluating outcomes and updating models, requiring infrastructure that can support the entire process at scale. A5X brings Vera Rubin into Google Cloud’s AI Hypercomputer as an integrated system, combining compute, networking and storage to support experience-driven learning at scale.
“We’re building superlearners that continually improve through their own experience,” said David Silver, founder and CEO of Ineffable Intelligence. “That demands both substantial compute and a tight connection between generating experience and training on it, so each improvement in the agent can quickly shape its next experience. Vera Rubin’s combination of compute performance and high-bandwidth connectivity, between the Vera CPU and Rubin GPUs and between the Rubin GPUs within the rack, allow us to push the scale and ambition of our reinforcement learning research further.”
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