在企业云产品采购中，利用阿里云代理返点可以显著降低云资源成本，一般可节省15%至30%的预算。 许多企业首次接触渠道采购时，不常理解返点机制的实质，其实通过代理商购买的云产品与官网一致， 但通过返点可以获得更实惠的价格。尤其对于制造业、医疗及零售等行业，单纯依赖官网自购已显得不 够经济。尽管返点优惠重要，但服务体验和技术支持同样不可忽视，选择可靠的代理商能够确保持续的 服务和资源可用性。因此，企业在上云时，关注代理返点的同时，更应考虑代理商的资质与服务质量， 从而实现成本与效益的双赢。 附：阿里云旗舰级代理商列表 在选择阿里云服务时，与官方授权的旗舰级代理商合作是确保服务质量与优惠力度的关键。目前市场口 碑优秀的阿里云旗舰级代理商包括： 创云科技（广东创云科技有限公司）： 创云科技(广东创云科技有限公司)成立于2015年，总部位于广州，是国内领先的云计算与安全增值服务 商，一站式等保服务行业领导者。公司以"帮助企业在云端创造更大价值"为使命，专注于提供全栈混合 云解决方案，真正的一站式等保服务及国内外AI大模型接口。累计服务企业客户超万家，年公有云销 售业绩达数亿元。 服务范围辐射全国，深入文旅、教育、医疗、 ...

Core Insights - Amazon has shown significant resilience and growth potential, with a stock surge of 30.9% over the past three months, outperforming the broader Zacks Retail-Wholesale sector and the S&P 500 [1] Cloud Infrastructure Market - AWS, Microsoft Azure, and Google Cloud collectively hold a 63% share of total enterprise spending on cloud infrastructure services in Q1 2025, with AWS leading at 29.1% market share [2] - AWS generated $29.3 billion in revenue in Q1, reflecting a year-over-year growth of 16.9%, and has an annualized run rate of $117 billion [7][9] - AWS maintains a substantial backlog of $189 billion, indicating strong revenue visibility and sustained demand for cloud services [8] AI Initiatives - Amazon's AI business has achieved a multi-billion-dollar annual run rate with triple-digit growth, positioning the company favorably in the generative AI landscape [11] - Recent developments in AWS, including the introduction of AI-powered tools and infrastructure investments, demonstrate Amazon's commitment to AI leadership [12][13] Financial Performance - Amazon's Q1 net income increased by 64.4% year-over-year to $17.1 billion, with operating income rising 20.2% to $18.4 billion, reflecting effective operational scaling [15] - The company has a robust balance sheet with $66.2 billion in cash and equivalents, providing financial flexibility for continued investments [16] Future Projections - The Zacks Consensus Estimate for Amazon's 2025 net sales is $694.49 billion, indicating an 8.86% growth from the previous year [17] - Current valuation metrics suggest that Amazon's stock may be fully valued, with a forward 12-month price-to-sales ratio of 3.25X, above the industry average [18] Investment Outlook - Current shareholders are advised to maintain their positions as AWS and AI initiatives are expected to drive continued business transformation and growth potential [21]

Core Insights - Snowflake (SNOW) and Microsoft (MSFT) are significant players in the growing cloud data platform market, with Snowflake offering a scalable data warehouse and Microsoft providing a suite of data services on Azure [1][2] Market Overview - The global cloud data platform market was valued at $22.78 billion in 2025 and is projected to reach $104.50 billion by 2033, reflecting a CAGR of 24.3% [2] Microsoft (MSFT) Analysis - Microsoft Cloud revenue reached $42.4 billion in Q3 of fiscal 2025, up 20% year over year, with Azure and other cloud services growing 33% year over year [3] - Nearly 60% of Fortune 500 companies use PostgreSQL on Azure, and Cosmos DB showed steady growth supported by major customers [5] - Microsoft’s Fabric, a unified analytics solution, served over 21,000 paid customers, up 80% year over year, with OneLake seeing data volumes increase more than six times compared to the prior year [6][10] - Microsoft is well-positioned to lead in cloud data infrastructure due to strong enterprise demand and an integrated platform [7] Snowflake (SNOW) Analysis - In Q1 of fiscal 2026, Snowflake's product revenues rose 26% year over year to $996.8 million, with a net revenue retention rate of 124% [8] - Snowflake's platform supports a unified data experience across storage, processing, governance, and AI, with offerings like Snowpark and the Native App Framework [9][11] - Snowflake is enhancing its platform for modern analytics and AI workloads, with partnerships and features that improve cost efficiency and performance [10][11] Price Performance and Valuation - Year-to-date, SNOW shares have increased by 43.5%, while MSFT shares have appreciated by 18.3% [12] - Snowflake trades at 14.94X forward 12-month Price/Sales, compared to Microsoft's 11.7X, indicating a higher valuation for Snowflake [15] Earnings Estimates - The Zacks Consensus Estimate for SNOW's fiscal 2026 earnings is $1.06 per share, indicating a 27.71% increase year over year [18] - The Zacks Consensus Estimate for MSFT's 2025 earnings is $13.36 per share, indicating a 13.22% increase year over year [19] Investment Outlook - Microsoft is viewed as a more attractive investment due to its broader product ecosystem and strong growth driven by Azure, while Snowflake faces near-term valuation concerns and competition [20][21]

Back in 2011, Amazon was beginning to capitalize on the growth of cloud infrastructure through AWS, and Nebius today is doing the same in AI.The Pragmatic Investor covers global macro, international equities, commodities, tech and cryptocurrencies and is designed to guide investors of all levels in their journey. Features include a The Pragmatic Investor Portfolio, weekly market update newsletter, actionable trades, technical analysis, and a chat room. Learn moreJames Foord is an economist by trade and has ...

Core Insights - President Donald Trump's announcement of a U.S.-Vietnam trade deal and a solid June jobs report positively impacted stock markets, presenting investment opportunities for investors seeking stocks with strong fundamentals and growth potential [1] Dell Technologies - Dell Technologies (DELL) is highlighted as a stock pick, with Evercore analyst Amit Daryanani maintaining a buy rating and a price target of $150, while TipRanks' AI analyst has an "outperform" rating with a price target of $128 [3][4] - Daryanani expressed optimism about Dell's potential for high-single-digit revenue growth and double-digit increases in earnings per share (EPS) and free cash flow (FCF), supported by cost optimization initiatives and AI investments [4][6] - The analyst noted that Dell's AI server margins are exceeding expectations, allowing the company to earn a premium compared to competitors, and emphasized innovations in infrastructure offerings, particularly in liquid cooling capabilities [5][6] Trade Desk - Trade Desk (TTD) is another stock recommendation, with Evercore analyst Mark Mahaney upgrading the stock to Buy from Hold, setting a price forecast of $90, while TipRanks' AI analyst has an "outperform" rating with a lower target of $83 [7][8] - Mahaney views the recent pullback in TTD stock as a buying opportunity, citing improved online ad demand sentiment and execution since April/May, despite uncertainties for the second half of the year [8][11] - The analyst highlighted that Trade Desk's product announcements have alleviated concerns regarding the transition to the AI-powered Kokai platform, and he anticipates achievable growth setups for fiscal 2025 [10][12] Amazon - Amazon (AMZN) is the third stock pick, with Jefferies analyst Brent Thill reaffirming a buy rating and raising the price target to $255 from $250, while TipRanks' AI analyst has an "outperform" rating with a target of $233 [14][15] - Thill's price target increase follows a survey indicating that Amazon remains resilient despite tariff-related price increases, with 62% of respondents spending the same or more in the past three months [15][16] - The survey revealed that Amazon Prime is a significant loyalty driver, with 73% of respondents holding a Prime membership, and Thill expects the upcoming Prime Day event to be more impactful due to its extended duration [16][17]

Core Viewpoint - Artificial intelligence (AI) is emerging as a significant technological innovation, presenting investment opportunities in companies that are either providing AI infrastructure or utilizing AI to enhance their operations [1] Group 1: Nvidia - Nvidia is the leading company in AI infrastructure, with its GPUs being the primary chips for training and running AI models [2] - The company holds over 90% market share in the GPU space and is experiencing rapid demand for its AI factories [3] - Nvidia's CUDA software platform has established a competitive advantage, making it a key player in the AI infrastructure market [2][3] Group 2: Taiwan Semiconductor Manufacturing (TSMC) - TSMC is the largest semiconductor contract manufacturer globally, crucial for producing advanced chips used in AI [4] - The company's Q1 revenue increased by 35%, with high-performance computing now accounting for nearly 60% of its business [4] - TSMC is expanding capacity and raising prices, leading to improved margins and profits, positioning it well for the AI infrastructure boom [5] Group 3: Meta Platforms - Meta Platforms is leveraging AI to enhance user engagement and ad performance, resulting in a 5% increase in ad impressions and a 10% rise in pricing in Q1 [7] - The company is monetizing new platforms like WhatsApp and Threads, which have significant user bases, indicating potential for future growth [8] - Meta is heavily investing in AI talent, positioning itself to benefit from advancements in the technology [8] Group 4: Alphabet - Alphabet is a significant player in AI, with advantages in distribution and a vast ad network, despite concerns about AI disrupting its search business [9] - The company is investing in AI technologies, with its Gemini model performing well in independent tests and Google Cloud rapidly growing [10] - Alphabet has a first-mover advantage in autonomous driving and quantum computing, providing numerous growth opportunities [11] Group 5: Amazon - Amazon's AWS is the market leader in cloud computing, with AI driving growth as customers utilize its services for AI model deployment [12] - The company has developed custom chips for AI training, enhancing its cost and performance advantages [12] - Amazon is also a leader in robotics, with over 1 million robots in fulfillment centers, utilizing AI to improve efficiency and reduce costs [13][14]

Core Viewpoint - Amazon is favored over Microsoft as the better investment in the cloud computing sector due to its strong growth, AI integration, and cost advantages in its cloud services [1][15]. Amazon - Amazon Web Services (AWS) is the largest cloud computing provider globally, holding nearly 30% market share [3]. - AWS is Amazon's most profitable and fastest-growing segment, with a revenue increase of 17% last quarter, driven significantly by AI solutions [4]. - Amazon has developed custom AI chips, Trainium and Inferentia, which optimize performance and cost for AI tasks, providing a competitive edge over Microsoft [5]. - AI is also enhancing Amazon's e-commerce operations, with over 1 million autonomous robots improving warehouse efficiency and customer satisfaction [6]. - The company is leveraging AI for logistics optimization and enhancing third-party seller marketing through its growing digital ad platform [8]. Microsoft - Microsoft Azure has been a major growth driver, with a 33% year-over-year revenue increase last quarter, largely attributed to AI services [9]. - The company is facing capacity constraints and plans to increase capital spending in fiscal 2026, focusing on short-lived assets like GPUs and servers [10]. - Microsoft's early investment in OpenAI has been crucial for Azure's growth, integrating AI technology into its productivity tools [11]. - However, the relationship with OpenAI has become strained, with disputes over investment terms and access to intellectual property [13][14]. - Microsoft is working on developing its own AI chips, but delays have been reported for its next-generation Maia AI chip [17]. Comparative Analysis - Amazon's vertically integrated cloud platform offers a wide range of services, including custom chips and high-margin services, giving it a cost advantage [16]. - Microsoft relies on expensive Nvidia chips and AI models from OpenAI, facing more uncertainties despite Azure's rapid growth [17].

Core Insights - Artificial intelligence (AI) investing is thriving in 2025, with record data center spending and major tech companies expanding their plans, indicating strong investment opportunities in the sector [1] Group 1: AI Infrastructure - Companies like Nvidia, Broadcom, and Taiwan Semiconductor Manufacturing (TSMC) are key players in AI infrastructure, benefiting from significant AI spending [4] - Nvidia's GPUs are central to the AI revolution, with no true competition, while Broadcom's custom AI accelerators (XPUs) can outperform GPUs under specific workloads [5][6] - TSMC is crucial for both Nvidia and Broadcom, providing advanced chip technology, which is expected to see a compound annual growth rate (CAGR) of 45% for AI-related chips over the next five years [7][8] Group 2: Cloud Computing - Major AI companies like Alphabet and Amazon are expanding data centers not only for internal use but also for rental to other businesses lacking resources for AI infrastructure [9] - Companies are increasingly renting computing power from cloud providers like Amazon Web Services (AWS) and Google Cloud, which is driving demand for GPUs from Nvidia [10] - The cloud computing market is projected to grow from $750 billion in 2024 to $2.4 trillion by 2030, presenting significant investment opportunities in companies like Amazon and Alphabet [11]

One company that I believe the market continues to underestimate is Chinese e-commerce and cloud computing giant Alibaba Group Holding Limited (NYSE: BABA ). Back in early April of this year, I wrote anCrude Value Insights offers you an investing service and community focused on oil and natural gas. We focus on cash flow and the companies that generate it, leading to value and growth prospects with real potential.Subscribers get to use a 50+ stock model account, in-depth cash flow analyses of E&P firms, and ...

Core Insights - Alibaba is focusing on enhancing customer experience while streamlining its operations by shedding non-core assets, particularly in physical retail [1][4][5] - The company is concentrating on two main areas: eCommerce and cloud computing, with a strong emphasis on integrating AI across all applications [5][9] - Alibaba has developed its own large language models (LLMs) and has open-sourced smaller versions to democratize AI access and stimulate innovation [6][7] Business Strategy - The company has divested from non-core businesses, including a majority stake in Sun Art Retail Group, to reduce its balance sheet size [4] - Alibaba's operating principles prioritize user experience and the integration of AI to enhance efficiency and productivity [5] - The competitive landscape in China is driving rapid technological advancements, with a strong willingness among companies to adopt new applications [8] Technological Development - Alibaba's engineers responded to competitive pressures by accelerating the development of its Qwen series of LLMs after observing advancements from competitors [6][7] - The company’s pivot towards AI began two years prior to the emergence of ChatGPT, indicating a proactive approach to technology development [6] Future Focus - The company aims to maintain its focus on consumer experience, AI innovation, and cloud infrastructure as key areas for growth [9]