该公司还推出了全新版本的HPE Compute XD690：全新高性能AI服务器机型配备8个英伟达最新款且性 能最为强大的 Blackwell Ultra架构服务器AI GPU——即NVIDIA Blackwell Ultra GPU模块。 其他重要的新发布产品包括： HPE Alletra Storage MP X10000 高性能AI存储系统 智通财经APP获悉，聚焦于AI基础设施与混合云平台的慧与科技(HPE.US)当地时间周二在其年度 HPE Discover 大会上发布多项重要产品公告，其中重点包括进一步深化与"AI芯片霸主"英伟达(NVDA.US)的 长期AI算力合作伙伴关系。 私有云更新方面，慧与科技已经对其私有云服务进行了升级迭代，现已具备隔离墙管理功能，并且推出 了新一代的ProLiant Compute Gen12 服务器，该新一代服务器搭载 NVIDIA RTX PRO 6000 Blackwell GPU，RTX PRO 6000系列乃英伟达面向工作站领域规格最激进的高性能GPU显卡产品。 黄仁勋直言二者在打造"全栈 AI 工厂基础设施"，帮助企业"以空前速度和精度"释放数据价值。英伟 ...

Key Takeaways NBIS deepens its NVIDIA alliance to deliver next-gen AI infrastructure in global markets. The company launched GB200 Grace Blackwell Superchip access for enterprise clients in Europe. NBIS deployed Blackwell Ultra GPUs in the U.K. to boost AI adoption across sectors, including public services.In a major stride toward AI dominance, Nebius Group N.V. (NBIS) deepens its partnership with NVIDIA (NVDA) , aiming to deliver next-generation AI infrastructure across global markets. NBIS reported 385% ...

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]

Advanced Micro Devices (AMD -2.35%) supplies some of the best chips in the world for computers, cars, game consoles, and data centers. The company's data center business is a key focus for investors right now, as demand soars for its graphics processing units (GPUs), which are designed for artificial intelligence (AI) development.AMD, as its known, is still chasing Nvidia in the AI data center market, but the company's latest GPUs could help close the gap. Plus, AMD is already a leading supplier of AI chips ...

Core Viewpoint - Arista Networks, Inc. (ANET) has shown an 18.8% increase in stock price over the past year, underperforming the communication components industry's growth of 40.5% but outperforming the S&P 500's growth of 11.2% [1][5] Group 1: Financial Performance - In the first quarter, Arista generated net cash flow of $641.7 million from operations, up from $513.8 million a year ago, indicating efficient working capital management [7] - As of March 31, 2025, the company had $1.84 billion in cash and cash equivalents, with a current ratio of 3.93, significantly above the industry's average of 1.48, suggesting a strong liquidity position [7] - Earnings estimates for 2025 have increased by 3.64% to $2.56 over the past 60 days, reflecting positive sentiment about the stock's growth potential [11] Group 2: Market Position and Strategy - Arista is expanding its portfolio to meet the growing demand for modern AI infrastructure, leveraging its unique EOS and CloudVision stack [5] - The latest Arista Etherlink AI Platforms support ultra-fast data rates (800G/400G) and are designed to connect NVIDIA's upcoming Blackwell Ultra GPUs, which are expected to enhance AI inference capabilities [6] - The company aims to become the core network backbone for next-generation AI clusters, focusing on maximizing AI cluster efficiency [12] Group 3: Competitive Landscape - Arista has outperformed Juniper Networks, Inc. (JNPR), which gained 4.5%, but underperformed Cisco Systems, Inc. (CSCO), which surged 34.1% during the same period [4] - The company faces intense competition from Cisco in the cloud network solution market and must continuously invest in product enhancement and new technology development [10] - Rising operating expenses, which increased from $341.2 million to $417.3 million year-over-year, are a concern for the company's margins [10] Group 4: Challenges and Risks - Geopolitical and trade uncertainties, particularly between the United States and China, pose a significant risk to Arista's gross margin [8] - The company has increased its inventory to create a supply chain buffer, which may limit available capital for strategic investments [9] - Despite these challenges, the company is expected to benefit from strong AI traction, with potential long-term investor profits [13][15]

Core Insights - Nvidia's early AI chip launch has resulted in remarkable investor returns, with stock gains exceeding 13,000% since the introduction of its first AI-focused chip, the Tesla P100 [1][2][3] - Continuous innovations in chip technology, including the Hopper and Blackwell architectures, have significantly enhanced performance and adoption in the AI sector [1][5][6] - Strong financial results for Q4 and optimistic guidance for 2025 indicate sustained growth driven by Nvidia's dominance in AI [1][7] Nvidia's AI Chip Launch and Growth - Nvidia launched the Tesla P100 on April 5, 2016, marking its entry into AI-specific semiconductors when AI was primarily in the research phase [2][4] - An initial investment of $1,000 in Nvidia at the time would now be worth approximately $131,067, reflecting a staggering return of over 13,000% [3] Technological Advancements - The Tesla P100 featured 15 billion transistors and was based on Nvidia's Pascal architecture, setting a new standard for AI computing [4] - Nvidia has since expanded its AI chip portfolio, with key products like the Hopper H100 and Blackwell, which are designed to meet the growing demands of AI applications [5][6] Financial Performance - Nvidia reported fiscal Q4 revenue of $39.33 billion, exceeding analyst expectations, with adjusted earnings per share of $0.89 [7] - The company has guided for first-quarter 2025 revenue of around $43 billion, indicating a 65% year-over-year growth, with significant contributions expected from the Blackwell architecture [7]

以下文章来源于腾讯科技 ，作者苏扬 郝博阳 腾讯科技 . 腾讯新闻旗下腾讯科技官方账号，在这里读懂科技！ 将投中网设为"星标⭐"，第一时间收获最新推送 算力永不眠。 作者丨苏扬 郝博阳 编辑丨 郑可君 来源丨腾讯科技 作为AI时代的"卖铲人"，黄仁勋和他的英伟达，始终坚信算力永不眠。 今天的GTC大会上，黄仁勋拿出了全新的Blackwell Ultra GPU，以及在此基础上衍生的应用于推 理、Agent的服务器SKU，也包括基于Blackwell架构的RTX全家桶，这一切都与算力有关，但接下 来更重要的是，如何将源源不断算力，合理有效地消耗掉。 在黄仁勋眼里，通往AGI需要算力，具身智能机器人需要算力，构建Omniverse与世界模型更需要源 源不断的算力，至于最终人类构建一个虚拟的"平行宇宙"，需要多少算力，英伟达给了一个答案—— 过去的100倍。 为了支撑自己的观点，黄仁勋在GTC现场晒了一组数据——2024年美国前四云厂总计采购130万颗 Hopper架构芯片，到了2025年，这一数据飙升至360万颗Blackwell GPU。 以下是腾讯科技整理的英伟达GTC 2025大会的一些核心要点： Blac ...

作者 | 王启隆 出品 | CSDN（ID：CSDNnews） 北京时间 3 月 19 日凌晨，NVIDIA GTC 2025 的主会开场演讲来了！ 在黄仁勋的这场演讲前，英伟达股票还是 119.53 美元 。刷推的时候又发现，马斯克的 Grok AI 都 在和网友们吐槽英伟达今年开年不济，相当艰难，需要一场演讲拯救股市，振奋投资者。还有些直 播，直接开了个股市页面实时盯着 NVDA 涨涨停停，画面相当喜感。 两小时的演讲结束后，股价居然还跌了将近 3%…… 今年的演讲主题是「 AI 工厂 」。 英伟达创始人兼 CEO 黄仁勋身穿标志性的皮衣，潇洒上台。 下面先简单总结演讲的内容有哪些（正好黄仁勋自己在最后强调了一遍本次主会的 五大亮点 ），后 文我们再来个 "事无巨细"的 全面回顾 ，带大家云体验一遍全程。 Blackwell 全面投入生产 第一代 Blackwell 芯片还没热乎，英伟达就推出了下一代 Blackwell Ultra，旨在 提升训练和扩展 推理能力。主会上展示了两个版本： 顺带一提，看外媒的现场返图，英伟达这次在 GTC 大会会馆前 摆了个摊卖煎饼 ，黄仁勋 亲自上阵 边吃边卖， 里面穿着 ...