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Associated Press
21-05-2025
- Business
- Associated Press
Data Center Power Infrastructure Market Analysis Report 2025: Focus on Power Supply Architecture, AI Specific Data Center Requirements, Cloud Infrastructure, GaN Applications
DUBLIN--(BUSINESS WIRE)--May 21, 2025-- The 'Data Center Power Infrastructure Market - A Global and Regional Analysis: Focus on Power Supply Architecture, AI Specific Data Center Requirements, Cloud Infrastructure, GaN Applications' report has been added to offering. The Global Data Center Power Infrastructure Market is expanding rapidly as organizations modernize their IT environments, add AI-specific workloads, and adopt cloud and hyperscale designs. By 2025, data centers will increasingly prioritize energy-efficient power distribution and supply architectures to handle higher rack densities, mitigate costs, and comply with sustainability mandates. Innovations in GaN-based power solutions, DC distribution, and advanced packaging (e.g., 3D stacking) are reshaping how data centers manage and convert power. Looking further ahead, the drive to accommodate specialized compute (GPU servers, HPC clusters) will intensify the need for robust, flexible power systems. As more operators adopt green energy sources and push for low-PUE (Power Usage Effectiveness) targets, advanced power conversion and distribution solutions become critical to staying competitive and meeting environmental goals. Trend in the Market A prominent trend is the rise of distributed and modular power architectures, particularly in AI-oriented facilities. As compute density grows, data centers adopt local or 'pod-level' power distribution models that minimize loss, simplify scaling, and accommodate diverse workload demands. Driver in the Market Soaring AI and HPC workloads spur higher rack densities, intensifying the need for efficient, high-capacity power solutions. Operators expand power capacity at both the rack and infrastructure levels, adopting next-gen technologies like GaN-based converters to sustain performance and control energy costs. Restraint in the Market Complex integration and higher upfront expenses can slow adoption. Advanced power architecture (e.g., fully DC distribution) requires re-engineering data hall designs, staff training, and robust maintenance procedures, leading some operators to delay or opt for incremental upgrades over radical shifts. Opportunity in the Market Emerging edge data centers and specialized HPC facilities provide a fertile ground for adoption of cutting-edge power infrastructure. As computing moves closer to users (for low-latency services), smaller data centers will need robust, efficient power and distribution solutions customized for limited footprints and unique site conditions. Suppliers offering modular, future-proof architectures can capture these underserved segments. Regional Overview Companies Featured Key Topics Covered: 1. Markets: Industry Outlook 1.1 Data Center Trends: Current and Future Impact Assessment 1.1.1 Data Center Capacities: Current and Future 1.1.1.1 Retrofitting and Brownfield Projects 1.1.1.2 Green Field projects and New Installation 1.1.1.3 Cloud Infrastructure Deployment 1.1.1.3.1 Colocation VS Hyperscale 1.1.1.3.2 AI Workloads 1.1.2 Data Center Power Consumption Scenario 1.1.3 Other Industrial Trends 1.1.3.1 HPC Cluster Developments 1.1.3.2 Blockchain Initiatives 1.1.3.3 Super Computing 1.1.3.4 5G and 6G Developments 1.1.3.5 Impact of Server/Rack Density 1.1.4 Data Center Deployment Market 1.1.4.1 Market by Components 1.1.4.1.1 IT Infrastructure 1.1.4.1.1.1 General Servers 1.1.4.1.1.2 Accelerated or GPU Servers 1.1.4.1.1.3 Storage Systems 1.1.4.1.1.4 Network Infrastructure 1.1.4.1.2 Data Center Physical Infrastructure 1.1.4.1.2.1 UPS Systems and Backup Generators 1.1.4.1.2.2 Electrical Systems 1.1.4.1.2.3 Cooling Equipment 1.1.4.1.2.4 Data Center Management software 1.2 R&D Review 1.2.1 Patent Filing Trend by Country, by Company 1.3 Stakeholder Analysis 1.3.1 Use Case 1.3.2 End User and Buying Criteria 1.4 Market Dynamics Overview 1.4.1 Market Drivers 1.4.2 Market Restraints 1.4.3 Market Opportunities 2. Data Center Power Infrastructure Market (By Application) 2.1 Application Segmentation 2.2 Application Summary 2.3 Data Center Power Infrastructure Market (by Data Center Type) 2.3.1 Hyperscale Data Centers 2.3.2 Colocation and Retail Data Centers 2.3.3 Enterprise Data Centers 2.3.4 Others 2.4 Data Center Power Infrastructure Market (by Application) 2.4.1 Conventional and Non-AI Data Centers 2.4.2 AI Data Centers 3. Data Center Power Infrastructure Market (by Product) 3.1 Product Segmentation 3.2 Product Summary 3.3 Data Center Power Infrastructure Market (by Power Supply Architecture) 3.3.1 Market by Distribution 3.3.1.1 Centralized 3.3.1.2 Distributed 3.3.2 Market by Power Supply 3.3.2.1 Rack Level 3.3.2.1.1 AC-DC 3.3.2.1.2 DC-DC 3.3.2.2 Infrastructure Level 3.3.2.2.1 AC Supply 3.3.2.2.2 DC Supply (not yet used at infrastructure level) 3.3.3 Market by Component 3.3.3.1 Power Supply 3.3.3.1.1 AC/DC and DC/DC Converters 3.3.3.1.2 Multi-Phase Voltage Regulator Modules (VRMs) 3.3.3.1.3 Hot-Swap Power Modules 3.3.3.1.4 Digital Power Control Units 3.3.3.2 Power Distribution and Management 3.3.3.2.1 Power Distribution Units (PDUs) 3.3.3.2.2 Intelligent/Metered PDUs 3.3.3.2.3 Busbar and Busway Systems 3.3.3.2.4 Automatic Transfer Switches (ATS) 3.3.3.2.5 Switchgear 3.4 GaN-Based Power Solutions for Data Centers 3.4.1 Transistors 3.4.2 Modules 3.4.3 Power ICs 3.4.4 Key Players and Their Products 3.5 Component-Level Technology Integration 3.5.1 Advanced Packaging (3D Packaging, SiP, TSV) 3.5.1.1 3D Stacking and Through-Silicon Vias (TSVs) 3.5.1.2 System-in-Package (SiP) Implementations for Servers 3.5.1.3 High-Density Modules for Compute-Intensive Racks 3.5.1.4 Package-Level Thermal Dissipation Considerations 3.5.2 Integrated Power Modules on PCB 3.5.3 On-Chip/On-Board Interconnects 3.5.4 Thermal Interface and EMI/EMC Components 3.5.5 Adoption by Integration Level 3.5.5.1 SoC vs. SiP Adoption Rates in Data Centers 3.5.5.2 Growth Projections for 3D Packaging Technologies 4. Data Center Power Infrastructure Market (by region) 4.1 Data Center Deployment Market (by Region) 4.2 North America 4.2.1 Regional Overview 4.2.2 Driving Factors for Market Growth 4.2.3 Factors Challenging the Market 4.2.4 Application 4.2.5 Product 4.2.6 U.S. 4.2.6.1 Data Center Trends and Capex 4.2.6.2 Market by Application 4.2.6.3 Market by Product 4.2.7 Canada 4.2.8 Mexico 4.3 Europe 4.4 Asia-Pacific 4.5 Rest-of-the-World 5. Markets - Competitive Benchmarking & Company Profiles 5.1 Next Frontiers 5.2 Geographic Assessment 5.3 Company Profiles 5.3.1 Overview 5.3.2 Top Products/Product Portfolio 5.3.3 Top Competitors 5.3.4 Target Customers 5.3.5 Key Personnel 5.3.6 Analyst View 5.3.7 Market Share For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. View source version on CONTACT: Laura Wood, Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 KEYWORD: INDUSTRY KEYWORD: DATA MANAGEMENT OTHER ENERGY TECHNOLOGY ENERGY INTERNET HARDWARE SOURCE: Research and Markets Copyright Business Wire 2025. PUB: 05/21/2025 07:07 AM/DISC: 05/21/2025 07:06 AM
Saudi Gazette
29-01-2025
- Business
- Saudi Gazette
China celebrates DeepSeek's breakout AI success as tech race heats up
HONG KONG — People across China are hailing the success of homegrown tech startup DeepSeek and its founder, after the company's newest artificial intelligence model sent shock waves through Silicon Valley and Wall Street.'DeepSeek overturns the US stocks overnight' one trending hashtag with tens of millions of views proclaimed on Chinese social media platform Weibo. 'DeepSeek makes Meta panic,' said another, in reference to the US tech giant that's invested heavily in developing its own AI than a dozen hashtags related to the cutting-edge technology were trending on Weibo early this week as DeepSeek surged to the top of international app store charts, surpassing American company OpenAI's ChatGPT on founder Liang Wenfeng was also hailed as a tech visionary who could help China usher in a culture of innovation to rival that of Silicon engineer-turned-entrepreneur, who rarely gives interviews, is known for hiring only domestic talent and keeping his AI models open source, allowing other companies or users to test and build upon the a co-founder of AI-oriented hedge fund High-Flyer Quant, founded DeepSeek in 2023. The startup's newest model DeepSeek R1, unveiled on January 20, can nearly match the capabilities of its far more famous American rivals, including OpenAI's GPT-4, Meta's Llama and Google's Gemini. However, it cost less than $6 million to build, the company claims – a fraction of the investment from those other tech investor Marc Andreessen hailed the model as a 'Sputnik moment' and US President Donald Trump on Monday called the breakthrough a 'wake-up call' for America in its rivalry with China. Technological dominance, especially in AI, has become a key battleground between the two powers, with the US in recent years limiting Chinese firms' access to chips that could power rapid AI say that more information is needed to verify DeepSeek's claims about its product's price tag and point out that the app operates within the stringent restrictions on speech and information imposed by the Chinese government. That means its AI assistant's answers to questions on the Tiananmen Square massacre or Hong Kong's pro-democracy protests will mirror Beijing's line – or a response will be declined for many in China, the success of the technology – and Liang's vision and ethos for DeepSeek – mark a significant step forward for the country in a competitive international arena.'No matter how powerful the old guard is, they may be overturned overnight,' read one triumphant comment on Weibo with over a thousand likes.'(Liang's) achievements ... can be called a national destiny,' another has reached out to Liang, DeepSeek and High-Flyer Quant for in the 1980s as the son of a primary school teacher, Liang grew up in a small city in China's southern province of Guangdong. He went on to study information and electronic engineering at Zhejiang University, a prestigious school in China's eastern tech hub Hangzhou, according to Chinese state business associates interviewed by state-linked financial outlet Yicai in recent days remembered the future DeepSeek founder as a bit 'nerdy' and recalled 'a terrible haircut' he sported in the talked about his idea of training large AI models and 'changing the rules of the game,' but no one took him seriously, the outlet reported, without naming the early associates. Such feats were typically only deemed possible for China's tech giants like ByteDance or Alibaba, it co-founded his AI-oriented hedge fund High-Flyer Quant in 2015, less than decade after he finished his undergraduate studies, according to state media reports. The fund incorporates AI machine learning models into its operations, according to the company's the same time, the firm was amassing computing power into a basketball court–sized AI supercomputer, becoming among the top companies in China in terms of processing capabilities – and the only one that was not a major tech giant, according to state-linked outlet The 2023, Liang founded DeepSeek, with a focus on advancing the field of general artificial intelligence – and, apparently, revamping China's culture around innovation.'We often say there's a one or two-year gap between China and the US, but the real gap is between originality and imitation. If this doesn't change, China will always be a follower,' Liang said in a rare media interview with the finance and tech-focused Chinese media outlet 36Kr last rise of DeepSeek roughly coincides with the wind-down of a heavy-handed state crackdown on the country's tech giants by authorities seeking to re-assert control over a cohort of innovative private firms that had grown too powerful in the government's Beijing has also placed tremendous emphasis on cultivating technological prowess, with Chinese leaders vowing over the past year to boost self-reliance and strength in technology – especially in the face of mounting tech competition with the United appeared to reference difficulties posed by US tech export controls – saying in the 36Kr interview last year that his company's challenges have not been about money, but the embargo on 'high-end chips.'But he also expressed optimism about China's ability to compete in the future.'When society allows hardcore innovators to succeed, collective thinking will change. We just need more concrete examples and processes,' Liang told the outlet.'We don't do mediocre'The company, which has teams in Beijing and Hangzhou, has remained small, with just under 140 researchers and engineers, according to state media – a far cry from the large firms both in China and the US that have led the creation of AI employees have been recruited domestically, Liang said in the same interview last year, describing his team as fresh graduates and doctorate students from top Chinese universities.'The top 50 talents may not be in China, but maybe we can create such people ourselves,' he told 36Kr, noting that the work is divided 'naturally' by who has what strengths. 'Innovation first requires confidence. This confidence is usually more obvious in young people,' he Wang, a former DeepSeek employee now studying in the US, told MIT Technology Review in an interview published this month that the company offered 'a luxury that few fresh graduates would get at any company' – access to abundant computing resources and the freedom to whole team shared a 'collaborative culture' around research, Wang recruitment ads on the DeepSeek website and major job seeking sites show the company hiring deep learning researchers, engineers, and user interface them, the highest paid engineers' positions are listed with a monthly salary range of up to 90,000 yuan ($12,400). By comparison, the higher end of the base pay for a Google software engineer is upwards of $29,000, according to tech industry salary insight platform A post on DeepSeek's official Wechat social media account declares that the company's devotion is to 'exploring the essence of AGI' or artificial general intelligence. 'We don't do mediocre things and answer the biggest questions with curiosity and a far-reaching vision,' the post added. — CNN
