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Andy Power Digital Realty · CEO
出处 ↗

Power 预计智能体 AI 和主权 AI 将推动其组合内更多推理部署。

我们预计随着 AI 推理用例不断涌现,整个组合将出现类似的空间和电力部署,有两个驱动力正在增强:通用智能体正在推出、大规模用户采用才刚开始的智能体 AI,以及政府和受监管企业需要区域内算力和连接以将模型和数据留在境内的主权 AI。
原文 (en) We expect to see similar space and power deployments across our portfolio as AI inference use cases continue to emerge with 2 drivers gaining momentum. Agentic AI, where general purpose agents are rolling out and massive user uptake is just beginning to unfold, and sovereign AI, where governments and regulated enterprises need in-region capacity and connectivity to keep models and data within their borders.

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Andy Power 近期的其他言论

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Power 表示 AI 需求正从大型训练部署扩展到企业、推理和新地区,增强了 Digital Realty 的竞争地位。

我们持续看到,人工智能的益处远不止于大规模训练部署,还延伸到企业应用、推理工作负载、连接丰富的环境和新的地区。我们相信这种不断拓宽的需求结构进一步增强了 Digital Realty 的竞争地位和长期增长前景。
原文 (en) We continue to see the benefits of artificial intelligence extending well beyond large-scale training deployments and into enterprise adoption, inference workloads, connectivity-rich environments and new geographies. We believe this broadening demand profile further strengthens Digital Realty's competitive position and long-term growth outlook.
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Power 指出数据中心容量交付日益困难,有利于经验丰富且资本雄厚的开发商。

尽管 AI 推动了前所未有的需求,但交付这些容量变得越来越困难。如今客户越来越认可经验丰富的合作伙伴的价值,这些伙伴具备大规模交付和运营关键基础设施所需的技术与工程能力、开发经验和财务实力。
原文 (en) While AI is driving unprecedented levels of demand, delivering that capacity has become increasingly challenging. Customers today increasingly recognize the value of experienced partners with the technological and engineering capabilities, development expertise and financial position required to deliver and operate critical infrastructure at scale.
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Power 认为多数新进入者缺乏服务超大规模客户的规模和资金,这对 Digital Realty 有利。

尽管超大规模数据中心领域出现了新进入者,但大多数缺乏规模、资产负债表实力或资金来源,无法满足当今超大规模客户所需的体量。
原文 (en) While newer entrants to the hyperscale data center field have emerged, most lack the scale, balance sheet strength or funding sources necessary to pursue opportunities at the scale required by hyperscale customers today.
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Power 称智能体 AI 工作负载需要靠近用户和云区域的算力,推动对互联站点的需求。

AI 智能体和编程工作负载每个任务会进行多次往返,将算力部署在靠近终端用户和云区域的位置可提升性能并支持区域内数据处理。
原文 (en) AI agent and coding workloads make many round trips per task, placing capacity close to end users and cloud zones improves performance and supports in-region data handling.
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Power 承认社区对数据中心影响电费、水资源和噪音的担忧,并呼吁透明沟通。

数据中心建设的规模是史无前例的,人们想知道数据中心如何影响他们的电费、水资源、空气质量、噪音以及整体社区环境,这是很自然的。
原文 (en) The scale of the data center build-out is historic, and it is only natural that people want to know how data centers affect their utility bills, water resources, air quality, noise and the overall fabric of their communities.