英伟达Blackwell Ultra GPU
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巨头结盟震撼欧洲AI界!微软(MSFT.US)拟从Nscale租赁葡萄牙数据中心算力 将搭载1.26万块英伟达Ultra GPU
Zhi Tong Cai Jing· 2025-10-15 02:12
"外界对我们的关注度让我们备受鼓舞,"Nscale首席执行官兼创始人乔希.佩恩表示,"看到核心投资者 对Nscale的热情与信心,与我们自身对公司的期待相契合,这令人振奋。在B轮融资结束仅数日,投资 者便承诺参与我们的Pre-C轮SAFE融资,这强烈印证了我们的愿景——即为人工智能时代打造自主可 控、可扩展的基础设施。" Nscale是一家总部位于英国的超大规模算力服务商。上个月,该公司宣布与微软、英伟达及OpenAI达成 合作,计划在伦敦北部拉夫顿的园区内开发50兆瓦的人工智能算力设施。此外,Nscale在今年9月完成 了11亿美元的B轮融资,此次融资规模创下欧洲历史之最。在这一里程碑式的融资后不久,该公司又完 成了4.13亿美元的Pre-C轮SAFE融资,英伟达、戴尔(DELL.US)等企业均参与了此次投资。 据报道,微软(MSFT.US)计划从Nscale公司租赁数据中心算力,相关设施位于葡萄牙,且将搭载英伟达 (NVDA.US)的人工智能芯片。该数据中心位于里斯本南部,预计将于明年初投入运营,届时将部署 12600块英伟达Blackwell Ultra GPU。微软租赁部分算力,旨在满足自身日益增长的 ...
戴尔携手英伟达升级AI工厂,企业AI市场或迎新机遇
Huan Qiu Wang· 2025-05-20 06:26
Core Insights - Dell has announced new collaborations with NVIDIA to enhance its AI factory infrastructure, solutions, and services, aiming to simplify the implementation of AI in enterprises [1] - The new product offerings include advanced computing, data storage, data management, and networking solutions [1] AI Infrastructure - Dell introduced next-generation PowerEdge servers, including air-cooled and liquid-cooled models, designed for easier integration with existing enterprise data centers [3] - The air-cooled PowerEdge XE9780 and XE9785 servers simplify integration, while the liquid-cooled XE9780L and XE9785L servers accelerate rack-level deployment [3] - These servers support up to 192 NVIDIA Blackwell Ultra GPUs and utilize direct chip liquid cooling technology, with customizable configurations allowing up to 256 GPUs per Dell IR7000 rack [3] - The new platform, succeeding the rapidly growing PowerEdge XE9680, enhances training speeds for large language models (LLMs) by up to 4 times [3] - Future support for NVIDIA Vera CPU and Vera Rubin platform is planned to further improve AI performance and efficiency [3] Market Trends and Financials - Currently, 75% of organizations view AI as a core strategy, with 65% successfully advancing AI projects to production [4] - Challenges such as data quality, security concerns, and high costs hinder rapid AI deployment [4] - Dell's AI factory solution offers a cost-effectiveness advantage of 62% over public cloud for local deployment of LLM inference, which is significant for budget-sensitive enterprises [4] - Dell's stock price has increased by 60% since April, reaching $114, with a market capitalization nearing $800 billion [4] - Over 3,000 customers globally are utilizing Dell's AI factory to accelerate their AI initiatives, indicating a growing ecosystem from enterprise AI PCs to data centers [5] - The transition of AI from experimental phases to full deployment suggests sustained growth in the enterprise AI infrastructure market, particularly for local deployments [5]
戴尔与英伟达合作,发布全新企业AI解决方案,推出新一代PowerEdge服务器
Hua Er Jie Jian Wen· 2025-05-19 20:31
Core Insights - Dell has launched a new generation of enterprise AI solutions in collaboration with NVIDIA, aimed at simplifying the implementation of enterprise AI [1] - 75% of organizations view AI as a core strategy, with 65% successfully advancing AI projects to production, although challenges like data quality and costs persist [1][5] - Dell's AI factory solution offers a 62% cost advantage over public cloud for local deployment of large language models (LLM), appealing to budget-sensitive enterprises [1][5] Product Innovations - Dell introduced new PowerEdge servers, including air-cooled and liquid-cooled models, capable of supporting up to 192 NVIDIA Blackwell Ultra GPUs, enhancing LLM training speed by up to four times [4][5] - The upcoming PowerEdge XE7745 server will support NVIDIA RTX Pro™ 6000 Blackwell Server Edition GPU by July 2025, catering to various AI applications [5] - Over 3,000 customers are currently utilizing Dell's AI factory to accelerate their AI initiatives, indicating a growing ecosystem from enterprise AI PCs to data centers [5] Market Outlook - Dell is expanding its AI product line to meet deployment needs from edge to data center, signaling a commitment to comprehensive AI infrastructure [3] - The collaboration with NVIDIA may indicate sustained growth in the enterprise AI infrastructure market, particularly as local deployment proves more cost-effective than cloud solutions [5]