Core Viewpoint - The article highlights the collaboration between Supermicro (SMCI.US) and NVIDIA (NVDA.US) in developing advanced liquid cooling AI infrastructure to support the Vera Rubin platform, which is now in full production. This partnership aims to enhance the deployment of next-generation AI data center solutions. Group 1: Supermicro's Developments - Supermicro announced the expansion of its liquid cooling AI infrastructure to accelerate the delivery of customized data center solutions for NVIDIA's Vera Rubin platform [1] - The company introduced a new liquid cooling solution capable of providing precise cooling for large-scale clusters integrating 72 Rubin GPUs per rack [3] - Supermicro's CEO, Charles Liang, emphasized the company's agile building block solutions and expanded manufacturing capabilities in the U.S. to deliver cutting-edge AI platforms faster than competitors [3] Group 2: Market Reactions - Following the CES announcement, data center cooling stocks experienced a significant decline, with Modine Manufacturing (MOD.US) dropping over 13%, Johnson Controls (JCI.US) and Trane Technologies (TT.US) falling over 7%, and Vertiv Holdings (VRT.US) decreasing over 3% [4] - NVIDIA's CEO Jensen Huang mentioned that servers equipped with the new Rubin chips could operate without water cooling, requiring airflow similar to that of racks with Blackwell chips, which may have influenced market sentiment [4]

Core Viewpoint - NVIDIA and OpenAI have announced a strategic partnership to deploy at least 10GW of NVIDIA systems for OpenAI's next-generation AI infrastructure, with an investment of up to $100 billion from NVIDIA to support this deployment [1][2]. Group 1: Partnership Details - The collaboration aims to train and run new AI models, marking a significant leap in both companies' growth trajectories [1][2]. - The first facilities are expected to be operational in the second half of 2026, utilizing the NVIDIA Vera Rubin platform [1]. - OpenAI's active user base has surpassed 700 million, and NVIDIA will be the preferred strategic partner for computing and networking in OpenAI's AI factory expansion plan [2]. Group 2: Industry Impact - This initiative is part of a larger plan called Stargate, which aims to invest approximately $500 billion over the next four years in advanced AI infrastructure [2]. - The partnership is seen as the largest AI infrastructure project in history, with the goal of transitioning AI from laboratory settings to real-world applications [3]. - Both companies emphasize the need for increased computing resources to meet the growing demand for AI applications, avoiding difficult choices between impactful use cases [3].