Core Insights - Commvault is enhancing its cyber resilience solutions by extending Kubernetes protection to virtual machines on Red Hat OpenShift Virtualization, addressing the growing need for integrated data protection in hybrid cloud environments [1][3][4] Industry Trends - Containerized workload adoption is rapidly increasing, with Gartner predicting that 90% of G2000 companies will utilize container management tools by 2027, and the Containers as a Service (CaaS) market expected to reach nearly $44 billion by 2034 [2] - The surge in container usage necessitates a unified cyber resilience strategy to mitigate risks associated with ransomware and other disruptions while managing complex data protection across hybrid environments [2] Company Developments - Commvault's new capabilities allow customers to automatically discover, protect, and recover VMs alongside containerized workloads through the Commvault Cloud platform, which is particularly beneficial for DevOps, SRE, and IT leaders [3][4] - The collaboration with Red Hat aims to provide enterprise-grade data protection for workloads on Red Hat OpenShift Virtualization, enhancing user confidence in running and scaling virtualized applications [4] Product Features - Commvault offers air-gapped and immutable backups with advanced recovery options for VMs on Red Hat OpenShift Virtualization, improving business continuity against ransomware threats [8] - Customers can restore VMs both in-place and out-of-place, including configurations, which accelerates deployment and minimizes downtime [8] - The unified protection for hybrid workloads allows customers to manage both traditional and cloud-native workloads through a single platform, reducing operational complexity and costs [8] Availability - Commvault support for Red Hat OpenShift Virtualization will be available for early adopters in early summer and is expected to be generally available by early fall, with pricing aligned to existing Commvault Kubernetes protection models [5]

Core Viewpoint - The open-source strategy of the phenomenon-level model DeepSeek is causing multi-faceted disruption, with potential commercial models comparable to the mature experiences of the open-source software industry [1] Group 1: Open-Source Strategy - DeepSeek is restructuring the global AI competitive landscape with performance comparable to GPT-4, innovative architecture, and a low-cost open-source strategy [1] - Unlike previous closed-source models, DeepSeek publishes core technologies and adopts a permissive MIT license to support free commercial use and secondary development, accelerating industry technology upgrades and expanding AI application scenarios [1] - The open-source model demonstrates strong externalities and positions "open-source" as a significant direction for global AI industry development [1] Group 2: Comparison with Red Hat - DeepSeek shares similarities with Red Hat in their open-source strategy and the early-stage industry development phase, with a focus on service as a sustainable revenue increment [2] - Both companies emphasize technology openness to drive industry development, which accelerates enterprise deployment and builds an ecosystem based on operating systems/AI models [2] - The commercial model of DeepSeek can draw from Red Hat's approach, focusing on addressing enterprise application pain points for sustainable revenue growth [2] Group 3: Market Adoption and Ecosystem Building - In the early stages of commercialization, the open-source model will attract widespread enterprise deployment of DeepSeek, helping to build a scalable ecological barrier [3] - Within 20 days of the official release of DeepSeek-R1, over 160 enterprises have connected, forming a multi-field cooperative ecosystem in the AI industry chain [3] - The open-source model lowers technical barriers and costs, accelerating technology accessibility and attracting various enterprises, including small and medium-sized businesses and government entities [3] Group 4: Revenue Model - In the mid-to-late stage, DeepSeek can achieve a commercial closure through "API call-based basic income + enterprise service subscription value-added income" [4] - The basic income will utilize a low-cost API call charging strategy, which is expected to reduce hardware investment costs through increased call frequency as the ecosystem expands [4] - Value-added income can be generated by providing technical subscription services to address the engineering deployment needs of enterprises using the model, transforming complex engineering issues into standardized service modules [4]

Core Insights - Further has achieved the Adobe Customer Journey Analytics Specialization in the Americas, highlighting its expertise in leveraging Adobe technologies for actionable insights and customer experience optimization [1][2]. Company Overview - Further is a data, cloud, and AI company that focuses on transforming raw data into actionable decisions, boasting a client retention rate of over 90% and serving leading brands like GameStop, Red Hat, Novartis, and Robert Half [5]. Specialization and Expertise - As an Adobe Solution Partner for over 10 years, Further has demonstrated a deep understanding of Adobe technologies, holding specializations in Adobe Analytics, Adobe Target, Adobe Real-Time CDP, and Adobe Journey Optimizer [2][3]. - The Adobe Customer Journey Analytics Specialization affirms Further's capability to deliver faster implementation, smarter decision-making, and greater ROI while ensuring seamless integration across the Adobe Experience Cloud [2]. Services Offered - Further provides a range of services to help businesses implement and optimize Adobe Customer Journey Analytics, including: - Implementation and Configuration: Expert setup tailored to business needs [6]. - Data Integration: Connecting data from various sources for a holistic customer journey view [6]. - Custom Analysis and Reporting: Developing dashboards and reports to identify trends and opportunities [6]. - Strategy and Optimization: Offering strategic guidance for continuous optimization of customer journeys [6]. - Training and Enablement: Empowering client teams to effectively utilize Adobe Customer Journey Analytics [6].

Core Viewpoint - Intel's new CEO, Chen Lifeng, emphasizes the necessity of retaining corporate venture capital (CVC) despite initial plans to divest it, indicating a strategic pivot towards leveraging existing investments for future growth [3][12]. Group 1: Strategic Changes - Intel has initiated a significant restructuring under the new leadership, focusing on divesting non-core businesses, including the sale of its programmable chip division Altera for $8.75 billion, significantly lower than the $16.7 billion acquisition price in 2015 [2][3]. - The company plans to eliminate long-term investments that yield minimal returns, including a rumored layoff of 20,000 employees and the postponement of new factory construction in the U.S. [3][9]. Group 2: Corporate Venture Capital History - Intel Capital was established in 1991 during a challenging period for the company, aimed at expanding its technological capabilities through strategic investments [4][6]. - Over the years, Intel Capital has invested in over 1,800 companies, totaling more than $20 billion, with significant successes including investments in VMware, Broadcom, and Citrix [7][9]. Group 3: Recent Developments - Despite earlier plans to spin off Intel Capital, the company has decided to maintain it as a strategic asset, with plans to collaborate closely with the investment team to optimize the existing portfolio and pursue new investments that align with corporate health [12][13]. - The decision to retain Intel Capital comes amid a backdrop of significant losses, with a record quarterly loss of $16.6 billion reported in 2024, highlighting the need for a more cautious investment approach [9][10].

如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容编译自 The nextplatform ，谢谢。 世界上安装的其他大多数大型机都基于蓝色巨人IBM的另一条处理线，即基于十几代 Power RISC CPU的Power Systems 机器。 System z 和 Power Systems 产品线运行着关键任务应用程序，很难被轻易取代。IBM 面临的问 题是，这两款机器的最新产品线都已走到尽头，而且在预计 2025 年下半年推出新产品之前，销售 也一如既往地放缓。 蓝 色 巨人IBM 正 蓄 势 待 发 ， System z17大型机将于6月开始出货 ， 其 集 成 的 AI 处 理 功 能 将 集 成 在"Telum II"z17 CPU以及"Spyre"外部AI加速器上，后者基于与z17核心类似的矩阵数学引擎。 Power11处理器也将于今年晚些时候上市，它将进行一些针对片上AI运行的调整和调优，并支持更 大、更快的内存子系统（这对于SAP HANA和Spark内存数据库工作负载至关重要）。 在这两台"钢铁巨机"开始出货之前，蓝色巨人的实力将略显疲态，其软件和咨询业务必须努力弥补 不足——尤其是在日 ...

Core Insights - 2degrees has signed a six-year agreement with Nokia to enhance its 5G services and optimize network efficiency through the deployment of Nokia's Cloud Native Communication Suite (CNCS) [1][7] - The integration of CNCS will allow 2degrees to streamline network activities, enhance automation, and minimize manual intervention, leading to improved operational efficiency [2][7] - The modernization efforts are expected to reduce infrastructure and carbon footprint while lowering operational costs, with energy efficiency improvements estimated between 10% to 20% compared to standard IMS Voice Core [3] Company Developments - 2degrees will utilize Nokia's MantaRay Network Management solution for a consolidated view of network monitoring and management, further enhancing operational capabilities [5] - The deployment of CNCS on the Nokia Cloud Platform, which includes Red Hat OpenShift, will provide a scalable infrastructure for 2degrees to quickly introduce new services [2][7] - 2degrees aims to modernize its network architecture to create new monetization and innovation pathways, enhancing subscriber experience [2][4] Industry Context - Nokia holds a leading position in the global 5G Standalone Core Networks market, with 55% of live deployments utilizing its software and 123 communication service provider customers as of the end of 2024 [6] - The collaboration between 2degrees and Nokia reflects a broader trend in the telecommunications industry towards cloud-native solutions that enable flexibility and scalability in network management [4][10]

Core Insights - 2degrees has signed a six-year agreement with Nokia to enhance its 5G services and network efficiency through the deployment of Nokia's Cloud Native Communication Suite (CNCS) [1][7] - The integration of CNCS will allow 2degrees to streamline network activities, enhance automation, and minimize manual intervention, leading to improved operational efficiency [2][7] - The modernization efforts are expected to reduce infrastructure and carbon footprint while lowering operational costs, with energy efficiency improvements estimated between 10% to 20% compared to standard IMS Voice Core [3] Company Developments - 2degrees will utilize Nokia's MantaRay Network Management solution for a consolidated view of network monitoring and management, optimizing overall network performance [5] - The deployment of CNCS on the Nokia Cloud Platform, which includes Red Hat OpenShift, will provide a scalable infrastructure for 2degrees to quickly introduce new services [2][7] - 2degrees aims to enhance subscriber experience and optimize network management through new automation tools enabled by the CNCS [2] Industry Context - Nokia holds a leading position in the global 5G Standalone Core Networks market, with 55% of live deployments utilizing its software and 123 communication service provider customers as of the end of 2024 [6] - The collaboration between 2degrees and Nokia reflects a broader trend in the telecommunications industry towards cloud-native solutions that facilitate faster service rollouts and improved network management [4][6]

Core Viewpoint - The article discusses the paradox of open-source large models in the AI industry, questioning how these models can generate revenue despite being freely available. It emphasizes that profitability is essential for business operations and suggests various monetization strategies that can be employed by companies in this space [5][8][41]. Group 1: Open Source Models and Revenue Generation - Open-source models have become mainstream, but there is skepticism about their ability to generate revenue [4][7]. - Companies can monetize open-source models through several strategies, such as charging for usage rights of certain models [12][18]. - Successful examples from the open-source world, like Red Hat, illustrate that companies can provide paid solutions around open-source products [9][10]. Group 2: Monetization Strategies - Companies can charge for customized B2B model deployments, which is a significant revenue source [20][33]. - Selling computational power, as demonstrated by DeepSeek, is another viable revenue stream, with reported daily profits of $470,000 and a profit margin of 545% [22][23]. - Open-source products often generate more revenue from services rather than direct product sales, creating an ecosystem that supports monetization [28][30]. Group 3: Market Dynamics and Challenges - The AI industry is still evolving, and many companies are struggling to achieve profitability, with significant investments in GPU resources yielding limited returns [45]. - The article highlights that the current focus for AI companies should be on gaining attention and user engagement rather than immediate profitability [47]. - The competitive landscape necessitates that companies adopt open-source strategies to remain relevant and avoid being overshadowed by leaders like DeepSeek [47][48].

Core Viewpoint - In a market characterized by high valuations, Verizon, IBM, and Cisco are identified as attractive income-generating investments due to their lower valuations and healthy dividend yields [1][2]. Group 1: Verizon - Verizon's stock reached a 13-year low of $28.25 on October 13, 2023, but has since rebounded to nearly $44 [3]. - The company doubled its annual postpaid phone net additions in 2024, driven by localized marketing, customizable plans, and growth in its distribution business with Walmart [4]. - Verizon's free cash flow rose 6% to $19.8 billion, covering its $11.2 billion in dividend payments, with a forward yield of 6.3% and a low forward price-to-earnings ratio of 9 [5]. Group 2: IBM - Under CEO Arvind Krishna, IBM has shifted focus towards cloud-based services and AI, spinning off its slow-growth IT infrastructure services business [6][7]. - From 2020 to 2024, IBM's revenue and EPS grew at compound annual growth rates of 3% and 1%, respectively, marking a recovery after years of decline [8]. - Analysts project a 4% growth in revenue and EPS for IBM this year, with a forward dividend yield of 2.7% and a payout ratio of 52% of its free cash flow [9]. Group 3: Cisco - Cisco faced challenges in fiscal 2021 and 2022 due to supply chain constraints but saw growth in fiscal 2023 as these issues were resolved [10][11]. - Analysts expect Cisco's revenue to rise 5% in fiscal 2025 as inventory issues are addressed, although adjusted EPS may remain flat due to integration costs from its acquisition of Splunk [12]. - Cisco's stock is valued at 17 times forward earnings, with a forward dividend yield of 2.6%, and it spent only half of its free cash flow on dividends over the past year [13].

Core Insights - IBM has completed its acquisition of HashiCorp for $6.4 billion, following approval from the U.K. antitrust regulator [1] - The acquisition is part of IBM's strategy to enhance its hybrid cloud capabilities and is expected to meet the growing demand for modern, hybrid cloud-ready applications [2] - This acquisition builds on IBM's previous significant acquisitions, including Red Hat for $34 billion in 2019 and Apptio for $4.6 billion in 2023 [3] Company Developments - IBM's valuation has reached nearly $240 billion, marking an all-time high as it capitalizes on trends in AI and cloud computing [2] - The integration of HashiCorp is anticipated to strengthen IBM's position in the hybrid cloud market, which is increasingly important for organizations seeking automated cloud infrastructure [2] Industry Context - The demand for hybrid cloud solutions is rising globally, with organizations looking to deploy applications that require scalable automated infrastructure [2]