--- 格式版本: 2 标题: "How DPUs, IPUs, and CXL Can Improve Data Center Power Efficiency" 原文链接: "https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency" 发布日期: "2026-08-11" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "manual" 发布时间证据: "标题附近的正文明确标注 Aug 11, 2026，符合发布时间优先规则，且该日期在多个正文位置出现。" 发布时间校准原因: "标题附近的正文明确标注 Aug 11, 2026，符合发布时间优先规则，且该日期在多个正文位置出现。" 发布时间校准置信度: "manual-confirmed" 发布时间候选数量: 0 发布时间严格候选数量: 0 发布时间原页读取状态: "manual" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-18T08:01:46+08:00" 发布时间仲裁状态: "manual" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-12T03:37:57+08:00" 入库时间: "2026-08-11T19:41:58.839Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "site:datacenterknowledge.com CXL" 匹配关键词: - "CXL" - "delivery" - "performance" - "AI" 相关厂家: - "NVIDIA" - "Microsoft" - "AWS" - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 18 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "文章是2023年泛泛介绍DPU/IPU/CXL能效优势的科普内容，无超节点/AI Rack/机柜级系统具体架构、参数或商业部署，技术细节缺乏，时效性差，与项目主题关联弱。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-12T03:42:04+08:00" AI主题相关性: 4 AI来源权威性: 8 AI新颖性: 2 AI技术细节: 2 AI商业部署信号: 0 AI完整性: 2 采集批次: "2026年8月12日2点04分20秒" 采集批次ID: "20260812-020420-289" 去重键: "https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency" --- Title: How DPUs, IPUs, and CXL Can Improve Data Center Power Efficiency URL Source: https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency Published Time: 2023-04-10T17:50:00.000Z Markdown Content: [![Image 1: Informa Logo](https://www.datacenterknowledge.com/assets/informaLogoCross-SPlaD0EU.png)Informa TechTarget|](https://www.informatechtarget.com/) [AI Business](https://aibusiness.com/ "AI Business")[SearchDataCenter](https://www.techtarget.com/searchdatacenter/ 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efficiency. [![Image 17: Picture of Salvatore Salamone](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt7cebc0c4d9d9e378/6584b77f22995e040a5bde28/theme1_placeholder_avatar.png?width=100&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/salvatore-salamone) [Salvatore Salamone,](https://www.datacenterknowledge.com/author/salvatore-salamone)Managing editor,Network Computing April 10, 2023 2 Min Read ![Image 18: abstract blue processor stacks for data center](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt6c195027edf5b53a/66210b364baabf205b58bb28/2JC9YG8_0.jpg?width=1280&auto=webp&quality=80&disable=upscale) Alamy [](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency&title=How%20DPUs%2C%20IPUs%2C%20and%20CXL%20Can%20Improve%20Data%20Center%20Power%20Efficiency)[](https://bsky.app/intent/compose?text=How%20DPUs%2C%20IPUs%2C%20and%20CXL%20Can%20Improve%20Data%20Center%20Power%20Efficiency%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fdata-center-hardware%2Fhow-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.datacenterknowledge.com/cdn-cgi/l/email-protection#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) [Data Processing Units](https://www.datacenterknowledge.com/data-center-hardware/data-processing-units-what-are-dpus-and-why-do-you-want-them-) (DPUs), Infrastructure Processing Units (IPUs), and Compute Express Link (CXL) technologies, which offload switching and networking tasks from server CPUs, have the potential to significantly improve the data center power efficiency. In fact, the National Renewable Energy Laboratory (NREL)[believes](https://www.nrel.gov/computational-science/measuring-efficiency-pue.html)enterprises that use such techniques and focus on power reduction can realize about a 33 percent power efficiency improvement. ## Improving power efficiency with new networking technologies In the last year, several new technologies have emerged that take a new look at data center power consumption. While taking different approaches, the solutions all seek to improve energy efficiency by offloading switching and networking chores from CPUs, just as GPUs and hardware-based encryption reduce the load on CPUs (and thus drive down overall power usage). Here are some of the major developments to watch: Related:[Microsoft Extends Data Center IP With Acquisition of DPU Startup Fungible](https://www.datacenterknowledge.com/deals/microsoft-extends-data-center-ip-with-acquisition-of-dpu-startup-fungible) ### What are Data Processing Units (DPUs)? The Data Processing Unit (DPU) is a relatively new technology that offloads processing-intensive tasks from the CPU onto a separate card in the server. Essentially, a DPU is a mini onboard server that is highly optimized for network, storage, and management tasks. (A general CPU on board a server was never designed for these types of intensive data center workloads and can often bog down a server.) What impact can DPUs have? “The use of hardware acceleration in a DPU to offload processing-intensive tasks can greatly reduce power use, resulting in more efficient or, in some cases, fewer servers, a more efficient data center, and significant cost savings from reduced electricity consumption and reduced cooling loads,”[said Zeus Kerravala](https://www.networkcomputing.com/data-centers/understanding-power-benefits-data-processing-units), founder and principal analyst with ZK Research. How much power can DPUs save?[A report by NVIDIA](https://resources.nvidia.com/en-us-accelerated-networking-resource-library/nvidia-dpu-power-eff?xs=454093), which offers the NVIDIA BlueField DPU, estimates that offloading network, storage, and management tasks can reduce server power consumption by up to 30 percent. Furthermore, the report noted that the power savings increases as server load increases and can save $5.0 million in electricity costs for a large data center with 10,000 servers over the 3-year lifespan of the servers. There would be additional savings in cooling, power delivery, rack space, and server capital costs. ### What are Infrastructure Processing Units (IPUs)? Infrastructure services such as virtual switching, security, and storage can consume a significant number of CPU cycles. Infrastructure Processing Units (IPUs) accelerate these tasks, freeing up CPU cores for improved application performance and reduced power consumption. Related:[The Future of Connectivity: Innovations in Networking, Cloud, and 5G](https://www.datacenterknowledge.com/networking/the-future-of-connectivity-innovations-in-networking-cloud-and-5g) Last year, Intel and Google Cloud launched a co-designed chip, code-named Mount Evans, to make data centers more secure and efficient. The chip takes over the work of packaging data for networking from CPUs. It also offers better security between different apps and users that may be sharing CPUs. ... [Continue reading this article on](https://www.networkcomputing.com/data-centers/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[Network Computing](https://www.networkcomputing.com/data-centers/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency) [](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/data-center-hardware/how-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency&title=How%20DPUs%2C%20IPUs%2C%20and%20CXL%20Can%20Improve%20Data%20Center%20Power%20Efficiency)[](https://bsky.app/intent/compose?text=How%20DPUs%2C%20IPUs%2C%20and%20CXL%20Can%20Improve%20Data%20Center%20Power%20Efficiency%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fdata-center-hardware%2Fhow-dpus-ipus-and-cxl-can-improve-data-center-power-efficiency)[](https://www.datacenterknowledge.com/cdn-cgi/l/email-protection#211e5254434b4442551c694e5601657174520d01687174520d01404f450162796d0162404f01684c51534e574401654055400162444f55445301714e56445301644747484248444f425807404c511a434e45581c6804131155494e54464955041311554944041311474e4d4d4e56484f4604131147534e4c0413116540554062444f5544536a4f4e564d444546440413114c48464955041311484f554453445255041311584e540f041165041160041165041160041311694e560413116571745204136204131168717452041362041311404f4504131162796d04131162404f041311684c51534e57440413116540554004131162444f554453041311714e564453041311644747484248444f425804116504116049555551520412600413670413675656560f4540554042444f5544534a4f4e564d444546440f424e4c041367454055400c42444f5544530c4940534556405344041367494e560c455154520c485154520c404f450c42594d0c42404f0c484c51534e57440c454055400c42444f5544530c514e5644530c444747484248444f4258) ## About the Author [![Image 19: Salvatore Salamone](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt7cebc0c4d9d9e378/6584b77f22995e040a5bde28/theme1_placeholder_avatar.png?width=400&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/salvatore-salamone) [Salvatore Salamone](https://www.datacenterknowledge.com/author/salvatore-salamone) Managing editor, Network Computing Salvatore Salamone is the managing editor of Network Computing. He has worked as a writer and editor covering business, technology and science; written three business technology books; and served as an editor at IT industry publications including Network World, Byte, Bio-IT World, Data Communications, LAN Times and InternetWeek. [See more from Salvatore Salamone](https://www.datacenterknowledge.com/author/salvatore-salamone) [![Image 20: Add as a preferred source on Google](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt2786692164e47749/69b46950fc6bd41335ba3b1b/google_preferred_source_badge_dark@2x.png?width=800&auto=webp&quality=80&disable=upscale)](https://google.com/preferences/source?q=https://www.datacenterknowledge.com/) ## Want more Data Center Knowledge stories in your Google search results? 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