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AI Server GPU Market Size to Grow USD 3139.8 Million by 2030 at a CAGR of 16.7% | Valuates Reports

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AI Server GPU Market is Segmented by Type (SXM, PCIe), by Application (Data Center, Game, Automotive): Global Opportunity Analysis and Industry Forecast, 2024-2030.

BANGALORE, India, Sept. 11, 2024 /PRNewswire/ — The Global AI Server GPU market was valued at USD 1024 Million in 2023 and is anticipated to reach USD 3139.8 Million by 2030, witnessing a CAGR of 16.7% during the forecast period 2024-2030.

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Major Factors Driving the Growth of AI Server GPU Market:

Due to the growing need for high-performance computing in artificial intelligence applications across all sectors, the market for AI Server GPUs is expanding quickly. GPUs (Graphics Processing Units) are critical for speeding deep learning, neural networks, and large data processing operations as AI workloads become more complicated and data-intensive. The need for AI server GPUs is being further fueled by the growth of edge computing, cloud computing, and AI-driven applications in industries like finance, healthcare, and the automotive industry. In order to satisfy the increasing computing demands of AI servers worldwide, major firms are concentrating on creating GPUs that are both more potent and energy-efficient.

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TRENDS INFLUENCING THE GROWTH OF THE AI SERVER GPU MARKET:

The market for AI server GPUs is expanding at a substantial rate because of SXM GPUs’ superior performance capabilities and sophisticated designs that are suited for AI applications. Unmatched processing power and memory bandwidth are provided by the multi-GPU-capable NVIDIA SXM architecture, which is crucial for sophisticated AI applications like computer vision, natural language processing, and deep learning. SXM GPUs enhance AI model training and inference, making them a popular option in data centers and high-performance computing settings. They do this by providing increased throughput and better parallel processing. For businesses investing in AI infrastructure, their capacity to minimize latency and power consumption and scale well across numerous GPUs makes them very appealing.

PCIe GPUs, which provide flexibility and affordability that make them perfect for a variety of AI applications, are a major factor driving development in the AI Server GPU market. Because the PCIe interface is extensively used in servers, it makes it simple to integrate GPUs into pre-existing infrastructures, allowing businesses to upgrade their systems without having to completely rebuild them. Because of its plug-and-play nature and the accessibility of strong GPUs from well-known manufacturers like NVIDIA and AMD, businesses may effectively improve their AI processing capabilities. High-speed data transport is another feature that PCIe GPUs provide, and it’s essential for processing big datasets in real-time AI applications like robotics, autonomous cars, and predictive analytics. PCIe GPUs are a vital component in expanding AI operations due to their extensive compatibility and versatility, which has a major

The rise of the AI Server GPU market is mostly due to data centers, which offer the infrastructure required for large-scale AI processing. The need for strong, GPU-accelerated data centers is growing as businesses and cloud service providers embrace AI-driven services more and more. enormous-scale data analysis, real-time inference, and effective AI model training are made possible by these facilities’ sophisticated AI server GPUs, which are capable of handling very enormous parallel processing jobs. The increasing prevalence of AI-focused workloads in fields like cybersecurity, big data analytics, and autonomous systems is pressuring data centers to upgrade to GPUs with greater power to meet the demands of processing. The use of AI server GPUs is also being accelerated by the move towards edge computing and the requirement for low-latency AI computation.

One major driver propelling the growth of the AI Server GPU market is the growing acceptance of AI-driven applications across different sectors. AI is finding its way into a broad range of applications, including driverless cars, financial services, retail analytics, and healthcare diagnostics. Massive processing capacity is needed for these applications to handle and analyze big datasets, run intricate algorithms, and deliver real-time insights. AI server GPUs are crucial in fulfilling these needs because of their capacity to manage extremely large parallel processing jobs. The demand for strong GPUs is being further driven by the increasing volume and complexity of AI models, such as those found in deep learning and neural networks.

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AI SERVER GPU MARKET SHARE ANALYSIS:

The market for AI Server GPUs is dominated by North America due to the region’s concentration of top technological businesses, strong infrastructure for AI research and development, and broad use of AI across a range of sectors. Leading leaders in GPU innovation, including NVIDIA, AMD, and Intel, are based in the United States in particular.

Growth in the market is mostly driven by the region’s sophisticated data center infrastructure and strong demand for AI-based applications, such as cloud computing, driverless cars, and healthcare analytics. Furthermore, the need for high-performance AI server GPUs is being fueled by significant expenditures made in AI research by both government and commercial organizations. Continued growth is ensured by North America’s robust ecosystem of established tech giants, research institutes, and AI startups.

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Key Companies:

NVIDIAAMDIntel

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–  The global AI Server market is projected to reach USD 78810 Million by 2030 from an estimated USD 31720 Million in 2024, at a CAGR of 16.4% during 2024 and 2030.

–  AI Server PCB market was valued at USD 96 Million in 2023 and is anticipated to reach USD 197.4 Million by 2030, witnessing a CAGR of 12.0% during the forecast period 2024-2030.

–  AI Server CPU and GPU Market

–  Artificial Intelligence (AI) Servers Market

–  AI Server Interconnect Chip Market

–  AI Inference Server Market revenue was USD 10890 Million in 2022 and is forecast to a readjusted size of USD 39360 Million by 2029 with a CAGR of 18.9% during the forecast period (2023-2029).

–  AI Server Accelerated Processing Unit (APU) Market

–  AI Vulnerability Scanning market was valued at USD 3121.56 Million in 2023 and is anticipated to reach USD 7,574.30 Million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.

–  AI Server Power Supply Unit (PSU) Market

–  AI Server APU Market

–  Generative AI Market

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Global AI Leader and Enterprise Transformation Visionary Zeya Ottomone Appointed Chief Executive Officer of Integrow

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Author of Empowered to Execute in the Agentic Era to Lead Next Generation of AI-Powered Enterprise Innovation

ATLANTA, July 24, 2026 /PRNewswire-PRWeb/ — Integrow announced the appointment of Zeya Ottomone as Chief Executive Officer, marking a significant milestone in the company’s evolution as it accelerates its vision to become a global leader in Agentic AI-powered enterprise software and business transformation.

Integrow announced the appointment of Zeya Ottomone as Chief Executive Officer, marking a significant milestone in the company’s evolution as it accelerates its vision to become a global leader in Agentic AI-powered enterprise software and business transformation.

With more than three decades of executive leadership spanning Fortune 500 enterprises, global technology organizations, and enterprise software innovation, Ottomone joins Integrow at a defining moment in the evolution of artificial intelligence.

Widely recognized for helping organizations modernize operations, simplify complex business ecosystems, and deliver measurable transformation outcomes, Ottomone has led some of the industry’s largest enterprise modernization initiatives across ERP, CRM, workforce management, cloud computing, cybersecurity, artificial intelligence, and intelligent automation. His appointment signals Integrow’s commitment to redefining how enterprises execute strategy in the era of autonomous AI.

“Artificial Intelligence is no longer about automation alone, it’s about empowering organizations to execute faster, make smarter decisions, and fundamentally rethink how work gets done,” said Zeya Ottomone, Chief Executive Officer of Integrow. “We’re entering the Agentic Era, where intelligent AI agents become trusted digital teammates capable of planning, reasoning, collaborating and executing alongside people. At Integrow, we’re building the enterprise platform that makes that future practical, secure and measurable for every organization.”

Ottomone is internationally recognized as a leader in enterprise technology, SaaS transformation, digital modernization and AI-enabled business strategy. Throughout his career he has held executive leadership and C-level positions with ABB, Honeywell, AmerisourceBergen, Cable & Wireless, Chicago Tribune and Rimini Street, leading global organizations through large-scale transformation initiatives across North America, Europe, Asia-Pacific and the Middle East. His expertise spans enterprise applications, Salesforce ecosystems, ServiceNow, ERP modernization, customer experience, intelligent operations, data strategy, and the emerging field of Agentic AI.

Before joining Integrow, Ottomone led global SaaS Centers of Excellence focused on enterprise transformation, helping organizations modernize critical business operations while reducing technology complexity and accelerating innovation. A certified Lean Six Sigma Master Black Belt and recognized executive advisor, Ottomone has consistently delivered operational excellence by combining strategic leadership with emerging technologies to create sustainable business value.

His appointment also coincides with the upcoming publication of his new book, Empowered to Execute in the Agentic Era, which explores how organizations can bridge the gap between strategy and execution by leveraging AI, empowering people, and building intelligent enterprises capable of continuous innovation. The book reflects many of the same principles that will guide Integrow’s next phase of growth: human-centered AI, intelligent automation, operational excellence, and measurable business outcomes.

Under Ottomone’s leadership, Integrow will accelerate investment across:

Agentic AIEnterprise AI PlatformsIntelligent ERPAI-powered CRMHuman Capital ManagementIT Service ManagementPredictive AnalyticsAutonomous WorkflowsEnterprise CopilotsIndustry-specific AI Solutions

The company’s vision is to deliver a unified enterprise platform where AI is embedded into every business process, enabling organizations to eliminate operational silos, automate decision-making, increase productivity, and create competitive advantage through intelligent execution. “Zeya represents exactly the type of visionary leader required for the next generation of enterprise software,” said Harvey Nicholson, Chair of Corporate Governance and Member of Integrow’s Board of Directors. “His global experience, deep understanding of enterprise technology, and forward-looking vision for Agentic AI position Integrow to become one of the industry’s most innovative AI-powered enterprise software companies.”

Wayne Gadson, Chair of Growth Strategy, added: “The future belongs to organizations that can execute strategy with intelligence, speed and confidence. Zeya has spent his career helping enterprises achieve exactly that. His appointment marks the beginning of an exciting new chapter for Integrow, our customers and our partners worldwide.” As enterprises face mounting pressure to modernize operations, reduce costs, improve workforce productivity and harness the power of artificial intelligence, Integrow is uniquely positioned to help organizations transform through a single AI-powered enterprise platform that unifies finance, operations, customer engagement, workforce management, projects and service delivery.

“Our mission is simple,” Ottomone concluded. “We don’t believe AI should replace people. We believe AI should elevate people. The organizations that will define the next decade won’t simply adopt AI—they’ll empower every employee to execute better decisions every day. That’s the future Integrow is building.”

About Integrow

Integrow is a global enterprise software company delivering next-generation AI-powered business applications built on Salesforce. The platform unifies ERP, CRM, Human Capital Management, IT Service Management, Project Management, Field Service, Finance and Operations into a single intelligent ecosystem enhanced by Agentic AI.

By embedding artificial intelligence into every workflow, Integrow enables organizations to modernize operations, accelerate innovation, improve decision-making and execute strategy with confidence.

For more information, visit www.integrow.com.

Media Contact

Media Team, Integrow, Inc., 1 855-333-4769, info@integrow.com, www.integrow.com 

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SOURCE Integrow, Inc.

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Lufax Announces Board and Management Changes

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SHANGHAI, July 24, 2026 /PRNewswire/ — Lufax Holding Ltd (“Lufax” or the “Company”) (NYSE: LU and HKEX: 6623), a leading financial services enabler for small business owners in China, today announced changes to its board of directors and senior management, effective July 25, 2026.

Ms. Fangfang Cai (“Ms. Cai”), Mr. Shibang Guo (“Mr. Guo”) and Mr. Peifeng Li (“Mr. Li”) have resigned as non-executive directors of the Company and from their respective positions on the Board’s committees. Mr. Tongzhuan Xi (“Mr. Xi”) has resigned as an executive director, the chief financial officer and the authorised representative of the Company (“Authorised Representative”) under Rule 3.05 of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited (“Hong Kong Listing Rules”), with effect from July 25, 2026. Each of the four directors cited personal work arrangements as the reason for their resignation and confirmed there is no disagreement with the Board and no matter relating to their departure that needs to be brought to shareholders’ attention.

The Company has begun a search for a new chief financial officer. During the transition, the CFO’s duties will be temporarily assumed by the Company’s internal team to ensure continuity of the Company’s financial functions. Mr. Xiang Ji, an executive director and the Company’s chief executive officer, has been appointed as the Authorised Representative, the Company’s designated liaison with the Stock Exchange under the Hong Kong Listing Rules, in place of Mr. Xi, with effect from July 25, 2026.

The Board has appointed Mr. Wai Kin Chim (“Mr. Chim”) as an independent non-executive director for an initial three-year term commencing July 25, 2026.

Mr. Chim, aged 65, has over 40 years of experience in international banking and extensive board experience in Asia Pacific, having worked in Hong Kong, Singapore and Beijing. He specializes in risk management and internal control, with a strong emphasis on corporate governance, credit risk, market risk and capital management.

Mr. Chim served as a loan officer at Standard Chartered Bank, Hong Kong Branch, from October 1985 to August 1988. He was then employed by Bankers Trust Company, Hong Kong Branch, as a vice president of the Asia Credit Department from September 1988 to October 1996. He subsequently served as the managing director and the chief credit officer for Deutsche Bank AG, a company listed on the Frankfurt Stock Exchange under ticker symbol DBK, for Asia Pacific (non-Japan Asia), from October 1996 to November 2006. He joined Bank of China Limited, a company listed on the Main Board of the Stock Exchange under stock code 3988, as the chief credit officer from March 2007 to March 2015.

Mr. Chim was an independent non-executive director of Standard Chartered Bank (China) Limited from October 2015 to October 2017. He served as an independent non-executive director of HDR Global Trading Limited, owner and operator of the BitMEX digital asset trading platform, from February 2021 to February 2022. Mr. Chim served as a non-executive director of China Chengtong Hong Kong Company Limited from July 2022 to June 2025. Mr. Chim is currently an independent non-executive director of OCBC Bank (Hong Kong) Limited, since November 2017; an independent non-executive director of Banco OCBC (Macau), S.A., since August 2023; an independent non-executive director of China Intellogis Technology Co., Ltd., since June 2024; and a director of Hong Kong Dance Company Limited since June 2026.

Mr. Chim obtained a Bachelor of Science degree from the Chinese University of Hong Kong in 1983 and an MBA degree from Indiana State University, USA, in 1985. He also graduated from the Senior Executive Program at Columbia University in 2000.

In connection with these changes, with effect from July 25, 2026, Ms. Cai will step down from the Nomination and Remuneration Committee, and Mr. Koon Wing Ernest Ip has been appointed as a member to that committee. The Company’s Special Committee will comprise Mr. Dicky Peter Yip, Mr. Koon Wing Ernest Ip and Mr. Siu Hong Cheng, continuing under the chairmanship of Mr. Dicky Peter Yip, with effect from July 25, 2026.

The Board would like to take this opportunity to thank Ms. Cai, Mr. Guo, Mr. Li and Mr. Xi for their service during the tenure of their office and warmly welcome Mr. Chim to the Board.

About Lufax

Lufax is a leading financial services enabler for small business owners in China. The Company offers financing products designed principally to address the needs of small business owners. In doing so, the Company has established relationships with 85 financial institutions in China as funding partners, many of which have worked with the Company for over three years.

Investor Relations Contact

Lufax Holding Ltd
Email: Investor_Relations@lu.com

ICR, LLC
Robin Yang
Tel: +1 (646) 308-0546
Email: lufax.ir@icrinc.com

 

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SOURCE Lufax Holding Ltd

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UMD Smith School Researchers Warn AI Security Lapses Highlight Urgent Need for Independent Oversight

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COLLEGE PARK, Md., July 24, 2026 /PRNewswire/ — A series of recent AI security lapses—including the OpenAI–Hugging Face breach—raises a fundamental question, say a pair of researchers at the University of Maryland’s Robert H. Smith School of Business: Can tech companies safely govern the powerful AI systems they build, or is stronger outside oversight now essential?

In its incident report, OpenAI confirmed that one of its experimental AI agents exploited a weakness in its testing environment while working on a routine benchmark task. The system wasn’t instructed to behave maliciously; instead, its persistence turned a small design flaw into a real escape. Earlier tests showed similar behavior, including agents that learned to bypass security checks by manipulating authentication tokens.

This pattern echoes findings from Dean’s Professor of Information Systems Siva Viswanathan at the Smith School, who studies how large technology platforms enforce rules. His research on mobile app privacy—published in Management Science—examined Google’s rollout of Android 6.0, which gave users more control over what data apps could collect. Developers were granted a flexible window to update their apps. Many used that flexibility to delay compliance for months, continuing to gather user data until Google imposed consequences such as lower search rankings and reduced visibility in its app store.

Viswanathan’s takeaway: when companies rely on voluntary compliance, self‑interested actors often exploit the slack. Real accountability requires pairing flexibility with firm, enforceable penalties.

That lesson now reverberates across the AI sector. As companies race to build increasingly capable systems, Viswanathan says oversight must treat these AI systems as strategic actors and must include strong safeguards that can pause or reverse a system before harm occurs.

He notes that a separate study from Anthropic underscores the stakes. In controlled tests, even an AI system designed to monitor another AI inherited the same flaws it was supposed to catch. In some cases, the “judge” model failed to flag clear sabotage because it agreed with the agent’s goals, allowing dangerous behavior to pass without human review.

Balaji Padmanabhan, Dean’s Professor of Decisions, Operations and Information Technologies and director of the Smith School’s Center for Artificial Intelligence in Business, extends Viswanathan’s governance argument into the realm of autonomous AI agents, warning that the same structural weaknesses now carry far higher stakes.

“The fact that this breach occurred organically without the AI agent being asked to be malicious is itself notable. Imagine what someone who actually intends to do harm can do. It’s also not terribly reassuring that the same firms we depend on for AI infrastructure, who are facing these issues, are the ones assuring enterprises that their systems with guardrails are perfectly safe,” says Padmanabhan. “We have to wake up to the fact that we’ve created capabilities that let software become as powerful as we want it to be—and then some. It’s time we seriously ask what’s needed to create an infrastructure to play defense well.”

Across the independent studies, the pattern is consistent, says Viswanathan: Voluntary compliance fails when the governed actor is more capable than the regulator. And AI systems cannot be governed by trust or good intentions alone. Oversight must be preventive, independent and capable of stopping harmful behavior before it spreads.

About the University of Maryland’s Robert H. Smith School of Business
The Robert H. Smith School of Business is an internationally recognized leader in management education and research. One of 12 colleges and schools at the University of Maryland, College Park, the Smith School offers undergraduate, full-time and flex MBA, executive MBA, online MBA, business master’s, PhD and executive education programs, as well as outreach services to the corporate community. The school offers its degree, custom and certification programs in learning locations in North America and Asia.

Contact: Greg Muraski, gmuraski@umd.edu

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SOURCE University of Maryland’s Robert H. Smith School of Business

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