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Jacobs Is Trading at a Discount: Should You Buy or Hold the Stock?
ZACKS· 2025-06-05 12:51
Core Insights - Jacobs Solutions Inc. is currently trading at a discount compared to its industry peers, with a forward 12-month price-to-earnings (P/E) ratio of 18.97X, lower than the industry average of 24.73X and the broader Business Services sector's 22.69X [1][9] - The company's stock has gained 5% in the past month, underperforming the industry and S&P 500, which increased by 15.7% and 6.3% respectively, due to rising direct costs and unfavorable currency movements [5] - Jacobs' backlog rose 20% year-over-year to $22.16 billion, driven by strong demand in key markets, supporting its growth prospects [9][10] Valuation Comparison - Jacobs is trading below similar players such as EMCOR Group (19.75X), AECOM (20X), and Sterling Infrastructure (21.87X) [2] - The company's discounted valuation may appeal to investors looking for long-term value [19] Growth Prospects - Jacobs forecasts a 5% to 7% year-over-year increase in net revenues for the fiscal third quarter, primarily from its current backlog [11] - The company has seen steady growth in Water and Environmental services, and double-digit revenue growth in Life Sciences and Advanced Manufacturing, supported by significant contracts [12] - Jacobs is expanding its presence in the data center infrastructure market, securing key roles in emerging technology projects [14][15] Backlog and Revenue Growth - The Infrastructure & Advanced Facilities segment's backlog increased to $21.77 billion from $18.13 billion year-over-year [10] - The earnings estimate for fiscal 2025 indicates a 13.8% year-over-year growth, reflecting optimism among investors despite a downward revision trend [16] Market Challenges - Jacobs faces pressure from rising direct costs and currency fluctuations, which may impact margins in the near term [18] - The company experienced unfavorable foreign exchange impacts of $2.3 million in the first half of fiscal 2025, contrasting with favorable impacts of $59 million in the previous year [18]
英伟达Computex:开放互联生态+端侧AI部署,引领AI生产力变革
HTSC· 2025-05-21 04:30
证券研究报告 科技 英伟达 Computex:开放互联生态+ 端侧 AI 部署,引领 AI 生产力变革 华泰研究 2025 年 5 月 20 日│美国 动态点评 英伟达 Computex Keynote:开放互联生态,加快端侧 AI 部署 英伟达 CEO 黄仁勋于 5 月 19 日发表 Computex 2025 主题演讲,我们认为 对行业启示为:1)新发布 NVLink Fusion 可与第三方 CPU 和 AI 芯片集成, 或吸引大型云厂商客户,意味着互联行业开放生态的到来;2)推出 DGX Spark/Station 和 RTX PRO 服务器,或表示 AI 需求已逐步转向个人开发者 到企业级客户;3)强调通过 AI 基建引领 AI Factory 驱动的工业革命。此外, 区域布局上,英伟达宣布与鸿海和中国台湾方面合作建设搭载 1 万颗 Blackwell 芯片的 AI 超级计算机,并将中国台湾总部搬至北投士林科技园区。 英伟达作为 AI Tokens 基础设施建设者,引领 AI Factory 驱动的工业革命 黄仁勋强调,AI Factory 是生产 AI Tokens 的"智能工厂",包括从数据预处 ...
Supermicro Now Accepting Orders on Portfolio of More Than 20 Systems Optimized for the New NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, Accelerating the Deployment of Enterprise AI Factories
Prnewswire· 2025-05-19 06:00
Core Insights - Supermicro has begun taking orders for enterprise AI systems featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, enhancing performance for various AI workloads [1][2][3] - The systems are designed to support AI inference, development, generative AI, and other applications across multiple industries [1][6] - Supermicro's collaboration with NVIDIA aims to accelerate the deployment of on-premises AI solutions through validated designs and full-stack integrations [2][3] Company Offerings - Supermicro offers over 100 accelerated computing servers compatible with NVIDIA PCIe GPUs, including the RTX PRO 6000 Blackwell [4] - The new MGX-based system, SYS-212GB-NR, features a single-socket architecture that supports up to 4 GPUs, targeting edge AI solutions [7][8] - The product lineup includes various system families such as 5U PCIe accelerated computing systems, MGX systems, and edge-optimized systems, catering to diverse workload requirements [9][10][11] Industry Impact - The introduction of AI factories is expected to enable enterprises to make data-driven decisions and adapt quickly to market changes [6] - Supermicro's systems are designed to reduce the number of servers needed for advanced AI applications, thereby lowering deployment costs [8] - The focus on edge AI solutions reflects a growing demand for AI inference capabilities closer to data sources, enhancing operational efficiency [6][8]