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The modern application landscape is defined by an ever-increasing hunger for both performance and power. For many businesses, AI initiatives offer the promise of achieving previously untapped levels of competitive success while intensifying the importance of harnessing value from private data on premises. Capturing the value from AI and other data-intensive workloads places increased pressure on traditional server environments. According to research from Informa TechTarget’s Enterprise Strategy Group:1 |
现代应用格局的定义是对性能和功耗的需求不断增加。对于许多企业而言，人工智能计划有望达到以前未曾开发的竞争成功水平，同时也凸显了利用本地私人数据价值的重要性。从 AI 和其他数据密集型工作负载中获取价值给传统服务器环境带来了更大的压力。根据Informa TechTarget企业战略小组的研究：1 |
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84% agreed: “The growth of AI (including generative AI) has us reevaluating our application deployment strategy.” |
84% 的人同意：“人工智能（包括生成式人工智能）的增长促使我们重新评估我们的应用程序部署策略。” |
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78% agreed: “We prefer to run AI applications on premises.” |
78% 的人同意：“我们更愿意在本地运行 AI 应用程序。” |
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Even for businesses without an AI initiative in place, the complexities of modern, large-scale IT fuel demand for greater server efficiency and a need to consolidate and simplify where possible. Given the scale of application environments at modern enterprises, simplicity must be provided at a fleet level, i.e., one that spans locations. In addition, server vendors cannot be easily switched from generation to generation. Therefore, improved performance and power efficiency must be considered at the system, portfolio, and roadmap level. |
即使对于没有人工智能计划的企业来说，现代大规模 IT 的复杂性也推动了对更高服务器效率的需求，也需要尽可能进行整合和简化。鉴于现代企业应用程序环境的规模，必须在机群级别，即跨地域提供简便性。此外，服务器供应商无法轻易地代际切换。因此，必须在系统、产品组合和路线图层面考虑提高性能和能效。 |
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Beyond the need for increased performance and efficiency, the burden of ensuring cyber resilience is poised to increase, as AI has already helped boost the frequency and sophistication of cyberattacks. According to Enterprise Strategy Group research, 62% of IT decision-makers expect advances in AI to provide advantages to cyber adversaries.2 The increased sophistication of cyberattacks is also spurring a rapid evolution in the regulatory landscape. For example, the Digital Operations Resilience Act (DORA), which addresses financial organizations in the European Union, already includes considerations for information and communication technologies suppliers. Regulations such as these serve as precursor of what’s likely to come for the United States and will require businesses to apply more scrutiny to the security safeguards provided by server vendors and their supply chains. |
除了需要提高性能和效率外，确保网络弹性的负担还会增加，因为人工智能已经帮助提高了网络攻击的频率和复杂性。根据企业战略集团的研究，62% 的 IT 决策者预计，人工智能的进步将为网络对手带来优势。2 网络攻击日益复杂，也刺激了监管格局的快速演变。例如，针对欧盟金融组织的《数字运营弹性法案》（DORA）已经包括了对信息和通信技术供应商的考虑。诸如此类的法规是美国可能发生的事情的先导，并将要求企业对服务器供应商及其供应链提供的安全保障措施进行更多审查。 |
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The challenges of keeping pace with cyberthreats and incorporating emerging technologies such as artificial intelligence, all while adhering to regulatory requirements, top the list of drivers of increased IT complexity in 2025 (see Figure 1).3 |
2025年，在遵守监管要求的同时，应对网络威胁和整合人工智能等新兴技术所面临的挑战是IT复杂性增加的首要驱动因素（见图 1）。3 |
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Ultimately, server infrastructure selection can no longer be a tactical implementation decision. Given the increased importance of security, fleet-level manageability, and a roadmap of performance and power efficiency, organizations should consider server partner selection strategic to business success. |
归根结底，服务器基础架构的选择不能再是一项战术实施决策。鉴于安全性、机群级可管理性以及性能和能效路线图的重要性日益增加，组织应将选择服务器合作伙伴视为业务成功的战略。 |
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1. Source: Enterprise Strategy Group Complete Survey Results, Understanding Workload, App, and Data Deployment and Migration Decision-making, July 2024. |
1。来源：企业战略小组完整调查结果，了解工作负载、应用程序以及数据部署和迁移决策，2024 年 7 月。 |
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2. Source: Enterprise Strategy Group Research Report, Beyond the GenAI Hype: Real-world Investments, Use Cases, and Concerns, August 2023. |
2。来源：企业战略集团研究报告，《超越GenAI的炒作：现实世界的投资、用例和问题》，2023年8月。 |
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3. Source: Enterprise Strategy Group Research Report, 2025 Technology Spending Intentions Survey, December 2024. |
3.来源：企业战略组研究报告，2025年技术支出意向调查，2024年12月。 |