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Carrier Global (CARR) 2025 Earnings Call Presentation
2025-05-19 11:56
2025 Investor Day May 19, 2025 Cautionary statement This communication contains statements which, to the extent they are not statements of historical or present fact, constitute "forward-looking statements" under the securities laws. From time to time, oral or written forward-looking statements may also be included in other information released to the public. These forward-looking statements are intended to provide management's current expectations or plans for our future operating and financial performance ...
高盛:2025 年数据中心行业考察之旅-要点总结
Goldman Sachs· 2025-04-27 03:56
Investment Rating - The report does not explicitly provide an investment rating for the industry or specific companies. Core Insights - Overall demand trends in the data center industry are positive, with companies engaged in projects extending several years into the future [2][3] - Densification of compute and liquid cooling are key elements driving design engagements, with rack power expected to rise significantly [2] - The sustainability of current demand strength is debated, with a need for new AI applications to utilize future capacity [3] Company Summaries - **NVT**: Focuses on liquid cooling solutions, including air-to-liquid and liquid-to-liquid systems, with strong demand visibility for the next two years [6] - **CARR**: Plans to roll out a 1 MW cooling product by year-end, with data center revenue expected to double from $500 million to approximately $1 billion [7] - **Motivair Corp**: A leader in liquid cooling, with expansion plans beyond North America and strong demand, booking orders through 2029 [12][14] - **VRT**: Discussed its 2.3 MW liquid-to-liquid CDU, with strong interest driven by AI training needs [13] Industry Trends - The shift from general-purpose cloud to purpose-built AI infrastructure is evident, with a focus on high-density AI factories requiring full liquid cooling [8] - The trade-off between efficiency and flexibility is highlighted, as tighter chip clustering for AI reduces future data center flexibility [8] - New AI applications are necessary to utilize the significant capacity implied by NVDA's backlog [8]