Core Insights - The artificial intelligence (AI) revolution is driving demand for digital infrastructure, positioning Applied Digital Corporation as a key player in this space [1][2] - The company secured a long-term agreement with CoreWeave, which is expected to generate approximately $7 billion in revenue over 15 years [3][4] Strategic Developments - Applied Digital will lease 250 megawatts (MW) of datacenter capacity to CoreWeave at its Ellendale, North Dakota campus, with the first 100 MW facility expected to be operational by Q4 2025 [3][4] - The partnership with ABB aims to enhance power efficiency, addressing the operational complexities of AI data centers [11] Competitive Landscape - The data center market is highly competitive, with significant investments from established REITs and tech giants, creating pressure for Applied Digital to execute its projects effectively [6][7] - The company faces a high short interest of 39.55%, indicating a divided investor sentiment regarding its future performance [8][9] Financial Considerations - Applied Digital has a debt-to-equity ratio of 1.22, and a recent S-3 filing allows for potential capital raising, which may dilute existing shares [11] - The stock has a 12-month price forecast of $12.73, reflecting a potential upside of 12.53% from its current price [5] Operational Challenges - The company must meet strict construction timelines to avoid revenue impacts and maintain investor confidence [4][12] - Achieving sustained profitability will be crucial for the company's long-term success, as operational execution becomes the focus following the secured contract [12][13]

Core Insights - The article discusses the rising demand for data center infrastructure driven by artificial intelligence, highlighting two companies, Applied Digital (APLD) and Equinix (EQIX), which are positioned to benefit from this trend but in different ways [1][2] Group 1: Applied Digital (APLD) - APLD is rapidly emerging as a key player in AI-focused data center infrastructure, building GPU-intensive facilities for AI and machine learning workloads [3] - The company has a strategic advantage in delivering cost-effective, GPU-powered infrastructure in energy-efficient locations, particularly its Ellendale, North Dakota campus [3][4] - APLD's growth is fueled by the increasing need for AI-specific infrastructure that traditional hyperscalers cannot provide quickly or affordably, with a development pipeline of over 400MW [4] - The company is transitioning from speculative growth to potentially recurring revenues through take-or-pay contracts, aided by vertical integration from construction to hosting [4] - APLD faces challenges including being in an early, unprofitable phase with high capital expenditures and negative cash flow, as well as execution risks and increasing competition [5][6] Group 2: Equinix (EQIX) - EQIX is the largest colocation and interconnection data center provider globally, well-positioned to meet the growing demand for AI and digital infrastructure [7] - The company offers a unique value proposition with over 250 data centers across 71 metros, enabling proximity, scalability, and connectivity essential for AI workflows [7][8] - EQIX is investing in next-generation infrastructure for AI, including high-density colocation and NVIDIA-powered private AI clusters, enhancing its ability to support large AI workloads [8] - The REIT structure of EQIX provides financial stability and consistent dividend payouts, appealing to growth and income-oriented investors [8] - Challenges for EQIX include rising energy costs and regulatory scrutiny around energy consumption and sustainability, which could impact its operations [9][11] Group 3: Financial Estimates and Valuation - The Zacks Consensus Estimate for APLD's fiscal 2026 revenues and EPS indicates a year-over-year increase of 2.4% and 73.6%, respectively [13] - For EQIX, the 2025 revenue estimate implies a year-over-year increase of 5.2%, with EPS expected to improve by 8% [14] - APLD is trading at a price to forward 12-month sales multiple of 10.55, while EQIX's multiple is 9.14, both above their respective five-year medians [16] - APLD has a Growth Score of 'B', while EQIX has a Growth Score of 'C' [13][14] Group 4: Investment Profiles - APLD represents a high-growth, high-risk investment targeting fast-moving AI firms with specialized solutions [18] - EQIX offers a stable, interconnected platform trusted by enterprises and cloud giants, with growing capabilities in AI infrastructure [18] - Both companies currently hold a Zacks Rank 2 (Buy), but EQIX appears to be cheaper with a Value score of 'D' compared to APLD's 'F' [19]

Core Insights - The article discusses the launch of a white paper by Applied Digital Corporation, detailing how smart site selection and cooling design can significantly reduce costs for generative AI infrastructure, potentially saving up to $60 million annually per campus [1][8]. Group 1: Company Overview - Applied Digital Corporation specializes in designing, building, and operating next-generation digital infrastructure for High-Performance Computing (HPC) applications [1]. - The company has introduced Polaris Forge as its North Dakota-based data center region, which is optimized for AI workloads and driven by renewable power [2]. Group 2: Key Findings from the White Paper - The white paper highlights that site selection can lead to annual electricity cost reductions of $50 to $60 million compared to existing 100MW data centers, amounting to potential savings of up to $2.7 billion over a 30-year lifespan [8]. - Polaris Forge 01 is designed to support 400 MW of critical IT load and is built to take advantage of stranded power and favorable climate conditions for cooling [4][8]. Group 3: Infrastructure and Community Impact - The design of Polaris Forge 01 includes a closed-loop, waterless, direct-to-chip cooling system, achieving a projected Power Usage Effectiveness (PUE) of 1.18 and a Water Usage Effectiveness (WUE) near zero [8]. - The company is committed to supporting local economies through initiatives that integrate community priorities, such as workforce housing and job creation [5]. Group 4: Market Confidence and Agreements - Applied Digital has signed a 250 MW, 15-year lease agreement worth $7 billion with CoreWeave for deployment at Polaris Forge 01, indicating strong market confidence in the company's capabilities [6].

Core Viewpoint - Hyperscale Data, Inc. is transitioning to become a pure-play AI infrastructure company by divesting Ault Capital Group, expected to be completed by December 31, 2025 [1][6]. Group 1: Leadership Changes - Milton "Todd" Ault III will resign as Executive Chairman but remain a director after the divestiture [1][2]. - William Horne will continue as CEO and assume the role of Chairman of the Board, focusing on the company's transformation into a data center operator for high-performance computing services [3][4]. Group 2: Business Focus Post-Divestiture - After the divestiture, Hyperscale Data will solely operate data centers to support high-performance computing services, while potentially continuing Bitcoin mining [6]. - The company will continue to provide mission-critical products through ACG until the divestiture, including an AI software platform and services across various industries [6]. Group 3: Shareholder Information - The divestiture will involve a voluntary exchange of Series F Preferred Stock for shares of ACG, allowing stockholders to become shareholders of ACG upon completion [7].

High-Performance Infrastructure at Scale Applied Digital Investor Presentation March 2025 This presentation has been designed to provide general information about Applied Digital Corporation ("Applied Digital" or the "Company"). Any information contained or referenced herein is suitable only as an introduction to the Company. The information contained in this presentation is for informational purposes only. The information contained herein does not constitute or form a part of, and should not be construed a ...

智通财经6月17日电，美国加州大学圣迭戈分校研究团队在6月13日发表的《焦耳》杂志发文称：他们利 用特殊设计的纤维膜开发出蒸发冷却新技术，可大幅提升数据中心及高功率电子设备的能效。这项技术 不仅有望替代传统风扇、散热器和液泵等耗能冷却方案，还能显著减少冷却系统的用水量。智通财经6 月17日电， 蒸发冷却新技术大幅降低数据中心能耗 ...

粤北青山之间，一座座数据中心如"钢铁森林"般拔节生长。在广东韶关，13条连接大湾区的400G全光 运力网络和12条省际光缆如同"神经网络"般贯穿全市，将庞大数据分别以1.3毫秒和1.66毫秒的速度输向 广州和深圳的核心机房。仅有正常人眨眼速度百分之一的极低时延，满足了大湾区绝大部分算力业务的 需求。作为国家在华南布局的唯一数据中心集群，韶关已成为粤港澳大湾区抢占人工智能高地的"算力 心脏"。 "算力就是生产力，没有算力就没有人工智能。"在近日召开的第四届粤港澳大湾区（广东）算力产业大 会暨第三届中国算力网大会上，韶关市委书记陈少荣表示，韶关算力规模从零开始，总投资超600亿 元，招引上下游项目31个，移动、电信、联通、鹰硕等项目建成投产，腾讯、万国、中联、华韶二期等 项目动工建设。 从曾经的"华南重工业基地"到如今的"智算新城"，韶关正以算力为支点，撬动一场从"算力承载"到"全 链智造"的产业跃迁。 扩量提速："算力心脏" 这样的时延到底有多低？鹏城实验室数据智能研究所副所长、韶关市数据产业研究院院长相洋向证券时 报记者举例称，一分钟可以切分成1000毫秒，以正常人的反应，一眨眼的时间就需要100毫秒左右，所 ...

The U.S. economy produced the world's most valuable companies for more than a century: Eight other American companies have joined Apple in the trillion-dollar club since then: Nvidia, Microsoft, Amazon, Alphabet, Meta Platforms, Tesla, Broadcom, and Berkshire Hathaway. I predict another company is likely to join them within the next few years. Oracle (ORCL 7.84%) operates some of the most powerful and most cost-efficient data center infrastructure in the world for artificial intelligence (AI) workloads. Dem ...

Investment Rating - The report assigns a "Buy" rating for the data center sector, indicating a positive outlook for investment opportunities in this industry [1]. Core Insights - The report emphasizes that technology development, particularly AI and cloud transformation, is driving demand for data centers, with a forecasted 60% increase in demand by 2027, compared to only 10% growth in logistics demand [3][71]. - It highlights that the data center sector is currently mispriced, with average valuations correcting to 20x 1Y forward EV/Ebitda, which is at the lower end of the logistics range of 20-30x, suggesting potential for re-rating based on earnings delivery and monetization [3][71][106]. Summary by Sections Lessons from E-commerce Boom on Logistics Assets - The e-commerce boom during 2020-2024 led to a doubling of e-commerce value in Singapore and Australia, significantly impacting logistics fundamentals, with rental growth of 23% in Singapore and 100% in Sydney [2][20]. - The share prices of logistics-related stocks approximately doubled from the Covid trough, with EV/Ebitda expanding from 20x to 30x before correcting back to around 20x [2][20]. Applying Lessons to Data Centers - Data center demand growth is driven by cloud transformation and AI adoption, with a forecast of 60% increase in demand by 2027 [3][71]. - The report indicates that data center vacancy rates are expected to remain below historical averages until 1Q28, with stronger rental growth anticipated in markets with tight vacancies starting in 2024 [3][71]. Buy Recommendations - Keppel is well-positioned as a data center sponsor with a projected 4.7% dividend yield for 2026 and strong balance sheet capacity for acquisitions [4]. - Goodman Group is noted for its strategic assets and positive pivot towards data centers, while NextDC is highlighted for its first-mover advantage in Australia [4]. - DigiCo REIT is recognized for its favorable supply/demand dynamics in the US and Australia [4].

Core Viewpoint - Retail investors have a long-term investment advantage over professional hedge fund investors, allowing them to buy stocks early and wait for growth catalysts to materialize [2] Company Overview - Nebius Group (NBIS) is positioned as a compelling long-term investment opportunity, with a market cap of $11.4 billion and a stock price increase of 70% this year [5][3] - The company specializes in building data centers to support AI solutions, renting out infrastructure that utilizes GPUs from major suppliers like Nvidia [5][6] Recent Developments - Nebius recently raised $1 billion through convertible notes to accelerate growth and announced expansion plans in the UK, alongside the availability of Nvidia's next-generation Blackwell chips in Europe [9] - The company has expanded its data center network by adding four new locations across Europe, the U.S., and the Middle East in the last three quarters [11] Financial Performance - In Q1, Nebius reported revenue of over $55 million, a 385% increase year-over-year, although net losses grew by 41% to nearly $114 million [10] - Management anticipates achieving an annual run-rate revenue of $750 million to $1 billion by year-end and expects to reach positive adjusted EBITDA in the second half of the year [11] Future Projections - Management projects mid-single-digit billions in revenue with adjusted EBITDA margins of 20%-30% over a four-year depreciation schedule [12] - The company is experiencing significant growth in a promising sector, with its business model resonating well in the AI market [12]