I&O正在从孤立的基础设施演变为更广泛的基于基础设施平台的方法，以推动规模、敏捷性和更好的业务成果。
基础设施平台对于基础设施和运营（I&O）组织支持日益增长的数字业务需求的能力至关重要。传统上，I&O领导者在孤岛中运营基础设施，但如今I&O正在从孤立的基础设施演变为更广泛的基于基础设施平台的方法，以推动规模，敏捷性和更好的业务成果。
平台是提供或启用其他产品或服务的产品。平台的范围应该反映用户的需求，对任何平台的最终测试是它如何为最终用户和整个企业提供重要的东西。这适用于所有平台，包括基础架构平台。平台提供可持续现代化所需的基础基础设施，包括节能虚拟化和容器化，重点是整合服务以提高资源利用率。
企业正处于平台转变的早期阶段，其中每一层（例如基础设施、中间件和应用程序）都将通过注入先进的人工智能进行转型。这种转变可能有风险，但它确实为组织提供了潜在的转型优势：
1. I&O员工将从孤立的基础设施团队过渡到基础设施平台团队。
Gartner预测，到2028年，目前在孤立的基础设施集团工作的I&O员工中，超过50%将向基础设施平台集团汇报。
大多数I&O组织仍然专注于并组织在孤立的基础设施组中，通过战术指标来衡量，以满足特定的运营目标，这限制了业务的价值创造。I&O组织越来越关注企业/业务成果，而不是战术成果，这将推动I&O更全面地运作。最终，许多I&O组织将从向孤立的基础设施团队报告的员工重组为向基础设施平台团队报告，这将导致更全面的结果。
I&O领导者应该通过利用基础设施平台组来与企业相关的指标保持一致，从而提高绩效和业务成果。
2. 由于能源供应有限，大多数企业将改变其数据中心战略。
Gartner 预测，到 2028 年，由于能源供应有限，超过 70% 的企业将改变其数据中心战略，这比 5 年的不到 2023% 大幅增加。
企业数字技术的能源消耗速度快于能源供应的整体增长速度。这意味着，由于资源匮乏，数据中心将在未来几年内出现大范围的电力短缺。
平台将通过整合使用更少硬件的全栈功能（例如计算、存储和网络）在提高能源效率方面发挥关键作用。此外，基础架构平台解决方案（如分布式混合基础架构 （DHI））允许通过集中管理的基础架构以分布式方式部署应用程序。这为企业部署高能效工作负载（例如数据中心、主机托管、边缘或云）提供了敏捷性和灵活性。
I&O领导者必须提高数据中心的可持续性绩效，并通过利用基础设施平台来平衡基础设施环境中的能源密集型工作负载，并突出推荐的能源优化领域，从而满足新的和新兴的要求。
3. 企业平台将使用专门的基础设施来支持人工智能融合。
Gartner 预测，到 2028 年，50% 的企业平台将利用专门的基础设施来支持 AI 注入，这比 10 年的不到 2023% 大幅增加。
企业对人工智能的采用继续加速，新兴的生成式人工智能 （GenAI） 创新有望在未来五年内改变企业平台的方方面面。随着企业进入平台转型的早期阶段，基础设施战略将设计为支持先进的、注入人工智能的业务应用程序。无论企业是否明确或隐含地使用先进的人工智能技术，包括GenAI，I&O领导者都需要一个基础的人工智能基础设施层，包括图形处理单元（GPU）、人工智能专用集成电路（ASIC）、用于数据管理的增强存储和专门的网络堆栈。
云提供商的底层基础设施基础 包括专门的基础设施，在某些情况下，这些基础设施专门设计用于加速 GenAI 工作负载。与云服务提供商和超大规模提供商合作，通过支持 GenAI 的功能增强其软件产品的企业软件公司，也隐式或显式地利用这些专用基础设施。
I&O领导者应该通过提高团队的技能来加速GenAI的价值创造，以提供嵌入式AI平台，并管理先进的AI基础设施平台，包括GPU、AI-ASICS，并实现跨本地、云和边缘的专用基础设施堆栈。通过加速评估和采用 GenAI 增强自动化来转变平台的生产力和效率。
英文原文：
How Infrastructure and Operations Is Transforming
I&O is evolving from siloed infrastructure to a broader infrastructure platform-based approach to drive scale, agility, and better business outcomes.
Infrastructure platforms are critical to the ability of infrastructure and operations (I&O) organizations to support the increasing demands of the digital business. Traditionally, I&O leaders have operated infrastructure in silos, but today I&O is evolving from siloed infrastructure to a broader infrastructure platform-based approach to drive scale, agility, and better business outcomes.
A platform is a product that serves or enables other products or services. The scope of a platform should reflect the needs of the users, where the ultimate test for any platform is how it contributes to what is important to end users and to the enterprise as a whole. This applies to all platforms, including infrastructure platforms. Platforms provide the foundational infrastructure necessary for sustainable modernization, including energy-efficient virtualization and containerization, with a focus on the consolidation of services for improved resource utilization.
Enterprises are in the early stages of a platform shift, in which every layer (e.g., infrastructure, middleware and applications) will be transformed through an infusion of advanced artificial intelligence. This transition can be risky, but it does offer potential transformational benefits for the organization:
1. I&O staff will transition from working in siloed infrastructure groups to infrastructure platform groups.
Gartner predicts that by 2028, more than 50% of I&O staff who currently work in siloed infrastructure groups will, instead, report to an infrastructure platform group.
Most I&O organizations remain focused and are organized in siloed infrastructure groups, measured by tactical metrics to meet operational-specific goals which limits value creation to the business. I&O organizations have an increasing focus on enterprise/business outcomes versus tactical outcomes that will drive I&O’s need to operate more holistically. Ultimately, many I&O organizations will restructure from employees reporting to siloed infrastructure teams to reporting to infrastructure platform groups which will lead to a more-holistic result.
I&O leaders should improve performance and business outcomes by leveraging infrastructure platform groups to align with enterprise-related metrics.
2. The majority of enterprises will alter their data center strategies due to limited energy supplies.
Gartner predicts that by 2028, more than 70% of enterprises will alter their data center strategies, due to limited energy supplies, which is a major increase from fewer than 5% in 2023.
Enterprises’ digital technologies are consuming energy at a faster rate than overall growth in energy supply. This means that data centers will experience widespread electricity shortages during the next several years, due to a lack of resources.
Platforms will play a key role in driving energy efficiency by incorporating full-stack capabilities (e.g., compute, storage, and networking) that use less hardware. Also, infrastructure platform solutions, such as distributed hybrid infrastructure (DHI), allow for the deployment of applications in a distributed manner with centrally managed infrastructure. This offers the agility and flexibility for energy-efficient workload placement (for example, data center, colocation, edge, or cloud) for enterprises to deploy.
I&O leaders must improve data center sustainability performance and comply with new and emerging requirements by leveraging infrastructure platforms that balance energy-intensive workloads across infrastructure environments and highlight recommended areas for energy optimization.
3. Enterprise platforms will use specialized infrastructures to support AI fusion.
Gartner predicts that by 2028, 50% of enterprise platforms will leverage specialized infrastructures to support AI infusion, which is a significant increase from fewer than 10% in 2023.
Enterprise adoption of AI continues to accelerate, and emerging generative AI (GenAI) innovations are poised to transform every aspect of enterprise platforms during the next five years. As enterprises enter the early stages of a platform shift, infrastructure strategies will be designed to support advanced, AI-infused business applications. Regardless of whether enterprises explicitly or implicitly use advanced AI techniques, including GenAI, I&O leaders need a foundational AI infrastructure layer comprising graphics processing units (GPUs), AI application-specific integrated circuits (ASICs), enhanced storage for data management and specialized networking stacks.
The underlying infrastructure foundations across cloud providers comprise specialized infrastructures that, in some cases, are purpose-designed to accelerate GenAI workloads. Enterprise software companies that partner with cloud services providers and hyperscalers to augment their software products with GenAI-enabled features, also implicitly or explicitly leverage these specialized infrastructures.
I&O leaders should accelerate value creation from GenAI by upskilling their teams to deliver embedded AI platforms and manage advanced infrastructure platforms for AI comprising GPU, AI-ASICS and enabling specialized infrastructure stacks across on-premises, the cloud, and the edge. Transform productivity and efficiency of platforms by accelerating evaluation and adoption of GenAI-augmented automation.
