Abstract: GPU Cloud Strengthens the Computing Infrastructure, Powering the Global Expansion of AI Applications

BEIJING, Aug. 12, 2025 /PRNewswire/ — In recent years, the global AI market has experienced rapid expansion. According to Bain & Company, the global AI software & hardware market reached USD 185 billion in 2023, and is expanding at an annual growth rate of 40% to 55%. By 2027, the market is expected to surpass USD 780-990 billion, with AI applications alone accounting for over USD 407 billion. Amid this surge, Chinese AI application companies are accelerating their global expansion, leveraging technological breakthroughs across generations, experience in innovative domestic scenarios, and strong policy support. They are rapidly emerging as key players in the global AI ecosystem.

However, the global expansion of Chinese AI application companies is far from smooth. According to research by 36Kr Research Institute, these companies encounter three structural barriers: 52.7% report insufficient global computing infrastructure deployment, leading to high latency and low data collaboration efficiency across regions; 52.0% struggle with high costs and long cycles of cross-border payments and settlements, which limit cash flow and profitability in international markets; and 44.3% face limited global marketing channels, making it difficult to overcome cultural barriers and achieve precise user acquisition. Among these, computing infrastructure— the backbone of AI applications—directly affects model training efficiency, inference response speed, and service coverage, making it a critical variable that determines the success or failure of global expansion.

For AI application companies to succeed in their global expansion, they should establish a closed loop of “computing infrastructure, market penetration, and monetization”. Among these, enhancing computing infrastructure stands as the primary breakthrough. At the same time, delivering scenario-driven, customized computing infrastructure—tailored to the unique needs of different industries and regions—will be essential for achieving differentiated competitiveness and securing a solid foothold in overseas markets.

Against this global backdrop, 36Kr Research Institute conducted a survey of 700 Chinese AI application companies expanding globally, and released the 2025 Insight Report on the Development Demands of Chinese AI Application Companies Expanding Globally (hereinafter referred to as “the Report”). The Report offers a comprehensive analysis of the current state, core demands, and future trends of AI application companies expanding globally. It focuses on seven high-growth sectors, including AI productivity tools, emotional companions, audio & video generation, education, gaming, AI terminals, and embodied artificial intelligence, and unpacks their diverse computing capacity needs across the training and inference phase. By doing so, the report provides a valuable basis for Chinese AI application companies developing their global expansion strategy.

1. Computing Infrastructure: Globalized, Elastic, and Scenario-Driven Infrastructure in Parallel

With the widespread global adoption of AI applications, enterprises are experiencing an explosive surge in demand for computational infrastructure. According to the Report, over 70% of surveyed companies allocate more than 10% of their R&D budgets to computing infrastructure, and inference-related demand is increasing by more than 70% annually. These figures clearly highlight that computing infrastructure has become the “most fundamental and urgent need” driving the growth of AI application companies.

However, the surge in computing infrastructure demand has also brought a range of challenges for AI application companies. High latency for global user access (58.7%) often leads to lag, slow response times, and degraded user experiences when accessing AI applications; low efficiency in cross-regional data collaboration (57.0%) limits companies’ ability to integrate global resources and streamline operations; insufficient capacity for computing resource orchestration (52.3%) makes it difficult to handle sudden spikes in user traffic, resulting in underutilized or overloaded computing resources; and significant cost pressure related to computing infrastructure (42.3%) continue to erode profit margins, becoming a major concern for companies seeking sustainable global expansion.

To address these challenges, AI application companies are actively exploring new computing solutions. GPU cloud, with its advantages of rapid deployment, elastic scaling, and pay-as-you-go pricing, has become a key component for global expansion plans of AI application companies. Currently, 87% of surveyed companies rely on GPU cloud services to support their global businesses, while only 1.0% have not adopted them. The core driver behind adopting GPU cloud lies in solving inference deployment challenges through cloud-based computing resources. 60.0% of companies value the cloud’s cluster management and resource scheduling capabilities, using dynamic compute resource orchestration  to manage cross-regional traffic loads. 51.0% prioritize global node coverage, enabling low-latency, multi-region inference deployment to meet the demands of real-time user interaction. This underscores the importance of GPU clouds which have evolved beyond merely being a computing resource. It now functions as an integrated solution for technical coordination, cost optimization, and global adaptability, making them a critical path for overcoming computing bottlenecks in the global expansion of AI applications.

Chinese AI application companies expanding globally consider a combination of factors—cost, technical support, efficiency, and compliance—when selecting computing infrastructure providers. Survey data shows that: 59.6% of companies prioritize cost competitiveness, 58.7% value technical support and O&M guarantee, and 58.3% focus on product and service delivery efficiency, demonstrating companies’ pursuit of a balance between cost reduction and high-efficiency responsiveness in their computing infrastructure investments. Meanwhile, demand for global computing resource deployment (45.3%) and compliance certifications (31.0%) reflects the growing need to adapt computing services to varied regional regulatory environments.

Notably new providers are beginning to gain traction alongside major players like Alibaba Cloud, Google Cloud, and Amazon Web Services (AWS).  GMI Cloud was the 3rd most considered provider with 36.3% of surveyed companies including it in their evaluation. GMI Cloud’s rise suggests ongoing shifts in provider dynamics across core international markets.

Scenario-based customization is a key direction for computing solutions. The Report’s analysis across seven high-growth sectors reveals that while a broad technological consensus has formed around key capabilities, namely “low-latency interaction, elastic scheduling, heterogeneous computing resources collaboration, and global compliance readiness,” demand varies significantly by application scenario. During the training phase, AI productivity tools focus on multimodal fusion, while emotional companion emphasizes cross-cultural emotion recognition and character persona fine-tuning. Audio & video generation models require multi-device compatibility, and low-resource language data augmentation. In the education domain, attention is directed toward cross-age model adaptation and low-resource language annotation. Gaming prioritizes high-fidelity rendering and cross-platform debugging. AI terminals stress multi-device collaboration and model lightweighting, whereas embodied artificial intelligence targets safe and compliant simulation environments and sensor data annotation. During the inference phase, AI productivity tools aim for low-latency real-time interaction. Emotional companions require 24/7 dynamic response, low-power optimization. Audio & video generation models prioritize Real-time stream processing, burst traffic scaling-up. In education, the focus shifts to real-time teaching interaction and compliance auditing. Gaming demands millisecond-level real-time interaction and optimization of graphical computing capacity. AI terminals should support millisecond-level on-device response and device-cloud collaborative inference. Embodied artificial intelligence emphasizes microsecond-level motion control and on-device real-time decision-making. Given these scenario-specific demands, companies should develop tailored computing solutions to ensure efficient operation of AI applications.

In terms of cost optimization, technologies such as mixed-precision inference and heterogeneous computing resources collaboration are being increasingly adopted. These approaches significantly reduce computing costs, enabling companies to maximize economic efficiency without compromising on computing performance.

2. Market Penetration: Social Media-Driven, AI-Enabled, and Localization-Deepened Strategies

In global marketing, social media operations (63.0%), channel-led market access (61.7%), and localized content marketing (60.3%) have become the primary channels for AI application companies to acquire new users. Social media platforms, with their massive user bases and broad content reach, offer companies vast marketing opportunities; channel-led market access  leverages local partners’ resources and influence to help companies gain rapid market access; and localized content marketing strengthens brand affinity by delivering content tailored to local user needs, grounded in a deep understanding of regional culture, consumer behavior, and preferences.

However, companies still face significant capability gaps in global marketing. High costs of social media operations (64.0%) remain a key challenge, as companies must invest heavily in manpower, tools, and budgets to manage accounts, promote content, and maintain active user engagement. Insufficient audience segmentation  (57.7%) makes it difficult for companies to accurately identify target customer segments, significantly undermining the effectiveness of their marketing efforts. Meanwhile, limited visibility into advertising ROI (57.3%) prevents companies from accurately evaluating the impact of their ad placement, making it challenging to optimize marketing strategies.

To bridge these capability gaps, AI technologies are increasingly becoming a powerful enabler for marketing penetration. 67.7% of surveyed companies expect AI to enhance social media sentiment monitoring. With AI technologies, companies can track brand-related sentiment on social media in real time, enabling early detection of negative signals and timely crisis response. 57.0% of companies seek AI-driven intelligent ad placement. By analyzing user behavior and interest patterns, AI enables highly targeted ad placement, ultimately improving conversion rates. In addition, automated multilingual content generation has become a key enabler in overcoming bottlenecks in localized content production. AI technologies allow companies to efficiently create marketing content across multiple languages, enabling them to meet the needs of diverse regional audiences and significantly enhance marketing efficiency.

3. Monetization: Compliance First, Efficiency Upgraded, and Ecosystem Integrated

As a critical link in completing the commercial loop of global expansion, cross-border payments remain fraught with challenges. Complex compliance reviews (61.3%) pose a significant challenge, as varying payment regulations and policies across countries and regions require companies to dedicate substantial time and resources to ensure cross-border payment compliance. Limited multi-currency settlement capabilities (54.0%) limit companies’ ability to operate globally, as they fail to meet the diverse payment preferences of users across different regions. Meanwhile, exchange rate volatility (51.7%) also introduces uncertainty to corporate revenue streams.

In response to these cross-border challenges, companies have expressed clear core demands. 65.0% seek one-stop compliance management, aiming to streamline compliance processes and reduce regulatory risks by integrating policies across different countries and regions. 57.7% require real-time financial instruments, such as foreign exchange hedging instruments, to stabilize revenue expectations and mitigate exchange rate volatility risks. 24.7% prioritize localized payment adaptation, supporting regional mainstream payment methods including digital wallets, to improve the user payment experience. Only by addressing these core demands can companies establish an efficient and stable cross-border payment loop, providing strong support for seamless and sustainable global business operations.

4. Data-Driven Insights Rooted in Real-World Practice: A Practical Guide for Diverse Stakeholders

Unlike reports that focus solely on macro-level analysis or a single technical trajectory, the 2025 Insight Report on the Development Demands of Chinese AI Application Companies Expanding Globally delivers practical, field-tested insights grounded in real-world operations. Based on in-depth research involving 700 frontline Chinese AI application companies expanding globally, the Report goes beyond theoretical modeling to provide a systematic overview of actual market demands. In addition to rich data and comprehensive analysis, the Report delivers differentiated value to a wide range of stakeholders, including corporate decision-makers, AI technology R&D and engineering teams, investors, and industry researchers.

For corporate decision-makers, the Report outlines a closed loop of “computing infrastructure, market penetration, and monetization”, with computing infrastructure identified as the primary point of leverage. Grounded in real-world data from 700 Chinese AI application companies expanding globally, the Report offers decision-makers key trend insights, such as the adoption rate and strategic value of GPU cloud, and the growing importance of scenario-specific customization, as well as resource allocation priorities, including computing investment ratios and cost optimization strategies. In addition, the Report provides an in-depth breakdown of differentiated computing infrastructure demands across the training and inference phases in seven high-growth AI sectors, along with practical recommendations for scenario-based computing resources deployment strategies. These frontline insights serve as a critical foundation for crafting targeted global expansion strategies and mitigating core risks, ultimately helping decision-makers build robust, globally competitive AI businesses.

For AI technology R&D and engineering teams responsible for execution, the value of the Report lies in its high degree of scenario adaptability and technical guidance. It not only identifies the core technical challenges faced across different sectors, but also provides targeted recommendations for computing resources configuration and optimization strategies. The Report further explores cutting-edge trends such as scenario-defined infrastructure, software-driven hardware value realization, and multimodal fusion, offering fresh perspectives for technology selection and system architecture evolution. These insights empower technical and engineering teams to enhance product performance and user experience with greater precision and relevance.

For investors and industry researchers, the Report offers a comprehensive view of the global expansion landscape and key drivers behind the Chinese AI application ecosystem. It quantifies market opportunities, pinpoints core challenges, and reveals the strategic paths taken by leading players. The in-depth analysis of divergent development trajectories and computing demands across the seven major AI sectors provides valuable benchmarks and forward-looking perspectives for identifying high-potential sectors, assessing technical barriers, and evaluating the sustainability of business models. Moreover, the Report’s discussion of infrastructure optimization strategies, including solutions such as GMI Cloud, also highlights the critical service layers that underpin the entire global expansion ecosystem.

It is important to note that AI technology evolves at a much faster pace than traditional sectors, and both application formats and user demands can shift significantly within a short time frame. The Report centers its core value on supporting decision-making during the next 1–2 years—a critical strategic window for global expansion. Regardless of how technologies evolve, the demand for efficient, stable, and cost-effective computing infrastructure remains a  pillar underpinning the global scalability of AI applications. The Report’s in-depth analysis of computing infrastructure challenges, its evaluation of solutions such as GPU cloud, and its emphasis on scenario-specific deployment collectively address this enduring strategic imperative.
Together, these insights provide companies with a foundational logic for building long-term global competitiveness—a logic that remains robust and relevant, even as technologies continue to evolve.

These frontline insights offer solid data support and practical guidance to help companies craft informed globalization strategies, empowering them stand out amid fierce international competition and succeed in expanding their AI applications globally.

The full report, including raw data and detailed insights into computing requirements across the seven featured sectors, is available for download here.

Abstract: GPU Cloud Strengthens the Computing Infrastructure, Powering the Global Expansion of AI Applications

BEIJING, Aug. 12, 2025 /PRNewswire/ — In recent years, the global AI market has experienced rapid expansion. According to Bain & Company, the global AI software & hardware market reached USD 185 billion in 2023, and is expanding at an annual growth rate of 40% to 55%. By 2027, the market is expected to surpass USD 780-990 billion, with AI applications alone accounting for over USD 407 billion. Amid this surge, Chinese AI application companies are accelerating their global expansion, leveraging technological breakthroughs across generations, experience in innovative domestic scenarios, and strong policy support. They are rapidly emerging as key players in the global AI ecosystem.

However, the global expansion of Chinese AI application companies is far from smooth. According to research by 36Kr Research Institute, these companies encounter three structural barriers: 52.7% report insufficient global computing infrastructure deployment, leading to high latency and low data collaboration efficiency across regions; 52.0% struggle with high costs and long cycles of cross-border payments and settlements, which limit cash flow and profitability in international markets; and 44.3% face limited global marketing channels, making it difficult to overcome cultural barriers and achieve precise user acquisition. Among these, computing infrastructure— the backbone of AI applications—directly affects model training efficiency, inference response speed, and service coverage, making it a critical variable that determines the success or failure of global expansion.

For AI application companies to succeed in their global expansion, they should establish a closed loop of “computing infrastructure, market penetration, and monetization”. Among these, enhancing computing infrastructure stands as the primary breakthrough. At the same time, delivering scenario-driven, customized computing infrastructure—tailored to the unique needs of different industries and regions—will be essential for achieving differentiated competitiveness and securing a solid foothold in overseas markets.

Against this global backdrop, 36Kr Research Institute conducted a survey of 700 Chinese AI application companies expanding globally, and released the 2025 Insight Report on the Development Demands of Chinese AI Application Companies Expanding Globally (hereinafter referred to as “the Report”). The Report offers a comprehensive analysis of the current state, core demands, and future trends of AI application companies expanding globally. It focuses on seven high-growth sectors, including AI productivity tools, emotional companions, audio & video generation, education, gaming, AI terminals, and embodied artificial intelligence, and unpacks their diverse computing capacity needs across the training and inference phase. By doing so, the report provides a valuable basis for Chinese AI application companies developing their global expansion strategy.

1. Computing Infrastructure: Globalized, Elastic, and Scenario-Driven Infrastructure in Parallel

With the widespread global adoption of AI applications, enterprises are experiencing an explosive surge in demand for computational infrastructure. According to the Report, over 70% of surveyed companies allocate more than 10% of their R&D budgets to computing infrastructure, and inference-related demand is increasing by more than 70% annually. These figures clearly highlight that computing infrastructure has become the “most fundamental and urgent need” driving the growth of AI application companies.

However, the surge in computing infrastructure demand has also brought a range of challenges for AI application companies. High latency for global user access (58.7%) often leads to lag, slow response times, and degraded user experiences when accessing AI applications; low efficiency in cross-regional data collaboration (57.0%) limits companies’ ability to integrate global resources and streamline operations; insufficient capacity for computing resource orchestration (52.3%) makes it difficult to handle sudden spikes in user traffic, resulting in underutilized or overloaded computing resources; and significant cost pressure related to computing infrastructure (42.3%) continue to erode profit margins, becoming a major concern for companies seeking sustainable global expansion.

To address these challenges, AI application companies are actively exploring new computing solutions. GPU cloud, with its advantages of rapid deployment, elastic scaling, and pay-as-you-go pricing, has become a key component for global expansion plans of AI application companies. Currently, 87% of surveyed companies rely on GPU cloud services to support their global businesses, while only 1.0% have not adopted them. The core driver behind adopting GPU cloud lies in solving inference deployment challenges through cloud-based computing resources. 60.0% of companies value the cloud’s cluster management and resource scheduling capabilities, using dynamic compute resource orchestration  to manage cross-regional traffic loads. 51.0% prioritize global node coverage, enabling low-latency, multi-region inference deployment to meet the demands of real-time user interaction. This underscores the importance of GPU clouds which have evolved beyond merely being a computing resource. It now functions as an integrated solution for technical coordination, cost optimization, and global adaptability, making them a critical path for overcoming computing bottlenecks in the global expansion of AI applications.

Chinese AI application companies expanding globally consider a combination of factors—cost, technical support, efficiency, and compliance—when selecting computing infrastructure providers. Survey data shows that: 59.6% of companies prioritize cost competitiveness, 58.7% value technical support and O&M guarantee, and 58.3% focus on product and service delivery efficiency, demonstrating companies’ pursuit of a balance between cost reduction and high-efficiency responsiveness in their computing infrastructure investments. Meanwhile, demand for global computing resource deployment (45.3%) and compliance certifications (31.0%) reflects the growing need to adapt computing services to varied regional regulatory environments.

Notably new providers are beginning to gain traction alongside major players like Alibaba Cloud, Google Cloud, and Amazon Web Services (AWS).  GMI Cloud was the 3rd most considered provider with 36.3% of surveyed companies including it in their evaluation. GMI Cloud’s rise suggests ongoing shifts in provider dynamics across core international markets.

Scenario-based customization is a key direction for computing solutions. The Report’s analysis across seven high-growth sectors reveals that while a broad technological consensus has formed around key capabilities, namely “low-latency interaction, elastic scheduling, heterogeneous computing resources collaboration, and global compliance readiness,” demand varies significantly by application scenario. During the training phase, AI productivity tools focus on multimodal fusion, while emotional companion emphasizes cross-cultural emotion recognition and character persona fine-tuning. Audio & video generation models require multi-device compatibility, and low-resource language data augmentation. In the education domain, attention is directed toward cross-age model adaptation and low-resource language annotation. Gaming prioritizes high-fidelity rendering and cross-platform debugging. AI terminals stress multi-device collaboration and model lightweighting, whereas embodied artificial intelligence targets safe and compliant simulation environments and sensor data annotation. During the inference phase, AI productivity tools aim for low-latency real-time interaction. Emotional companions require 24/7 dynamic response, low-power optimization. Audio & video generation models prioritize Real-time stream processing, burst traffic scaling-up. In education, the focus shifts to real-time teaching interaction and compliance auditing. Gaming demands millisecond-level real-time interaction and optimization of graphical computing capacity. AI terminals should support millisecond-level on-device response and device-cloud collaborative inference. Embodied artificial intelligence emphasizes microsecond-level motion control and on-device real-time decision-making. Given these scenario-specific demands, companies should develop tailored computing solutions to ensure efficient operation of AI applications.

In terms of cost optimization, technologies such as mixed-precision inference and heterogeneous computing resources collaboration are being increasingly adopted. These approaches significantly reduce computing costs, enabling companies to maximize economic efficiency without compromising on computing performance.

2. Market Penetration: Social Media-Driven, AI-Enabled, and Localization-Deepened Strategies

In global marketing, social media operations (63.0%), channel-led market access (61.7%), and localized content marketing (60.3%) have become the primary channels for AI application companies to acquire new users. Social media platforms, with their massive user bases and broad content reach, offer companies vast marketing opportunities; channel-led market access  leverages local partners’ resources and influence to help companies gain rapid market access; and localized content marketing strengthens brand affinity by delivering content tailored to local user needs, grounded in a deep understanding of regional culture, consumer behavior, and preferences.

However, companies still face significant capability gaps in global marketing. High costs of social media operations (64.0%) remain a key challenge, as companies must invest heavily in manpower, tools, and budgets to manage accounts, promote content, and maintain active user engagement. Insufficient audience segmentation  (57.7%) makes it difficult for companies to accurately identify target customer segments, significantly undermining the effectiveness of their marketing efforts. Meanwhile, limited visibility into advertising ROI (57.3%) prevents companies from accurately evaluating the impact of their ad placement, making it challenging to optimize marketing strategies.

To bridge these capability gaps, AI technologies are increasingly becoming a powerful enabler for marketing penetration. 67.7% of surveyed companies expect AI to enhance social media sentiment monitoring. With AI technologies, companies can track brand-related sentiment on social media in real time, enabling early detection of negative signals and timely crisis response. 57.0% of companies seek AI-driven intelligent ad placement. By analyzing user behavior and interest patterns, AI enables highly targeted ad placement, ultimately improving conversion rates. In addition, automated multilingual content generation has become a key enabler in overcoming bottlenecks in localized content production. AI technologies allow companies to efficiently create marketing content across multiple languages, enabling them to meet the needs of diverse regional audiences and significantly enhance marketing efficiency.

3. Monetization: Compliance First, Efficiency Upgraded, and Ecosystem Integrated

As a critical link in completing the commercial loop of global expansion, cross-border payments remain fraught with challenges. Complex compliance reviews (61.3%) pose a significant challenge, as varying payment regulations and policies across countries and regions require companies to dedicate substantial time and resources to ensure cross-border payment compliance. Limited multi-currency settlement capabilities (54.0%) limit companies’ ability to operate globally, as they fail to meet the diverse payment preferences of users across different regions. Meanwhile, exchange rate volatility (51.7%) also introduces uncertainty to corporate revenue streams.

In response to these cross-border challenges, companies have expressed clear core demands. 65.0% seek one-stop compliance management, aiming to streamline compliance processes and reduce regulatory risks by integrating policies across different countries and regions. 57.7% require real-time financial instruments, such as foreign exchange hedging instruments, to stabilize revenue expectations and mitigate exchange rate volatility risks. 24.7% prioritize localized payment adaptation, supporting regional mainstream payment methods including digital wallets, to improve the user payment experience. Only by addressing these core demands can companies establish an efficient and stable cross-border payment loop, providing strong support for seamless and sustainable global business operations.

4. Data-Driven Insights Rooted in Real-World Practice: A Practical Guide for Diverse Stakeholders

Unlike reports that focus solely on macro-level analysis or a single technical trajectory, the 2025 Insight Report on the Development Demands of Chinese AI Application Companies Expanding Globally delivers practical, field-tested insights grounded in real-world operations. Based on in-depth research involving 700 frontline Chinese AI application companies expanding globally, the Report goes beyond theoretical modeling to provide a systematic overview of actual market demands. In addition to rich data and comprehensive analysis, the Report delivers differentiated value to a wide range of stakeholders, including corporate decision-makers, AI technology R&D and engineering teams, investors, and industry researchers.

For corporate decision-makers, the Report outlines a closed loop of “computing infrastructure, market penetration, and monetization”, with computing infrastructure identified as the primary point of leverage. Grounded in real-world data from 700 Chinese AI application companies expanding globally, the Report offers decision-makers key trend insights, such as the adoption rate and strategic value of GPU cloud, and the growing importance of scenario-specific customization, as well as resource allocation priorities, including computing investment ratios and cost optimization strategies. In addition, the Report provides an in-depth breakdown of differentiated computing infrastructure demands across the training and inference phases in seven high-growth AI sectors, along with practical recommendations for scenario-based computing resources deployment strategies. These frontline insights serve as a critical foundation for crafting targeted global expansion strategies and mitigating core risks, ultimately helping decision-makers build robust, globally competitive AI businesses.

For AI technology R&D and engineering teams responsible for execution, the value of the Report lies in its high degree of scenario adaptability and technical guidance. It not only identifies the core technical challenges faced across different sectors, but also provides targeted recommendations for computing resources configuration and optimization strategies. The Report further explores cutting-edge trends such as scenario-defined infrastructure, software-driven hardware value realization, and multimodal fusion, offering fresh perspectives for technology selection and system architecture evolution. These insights empower technical and engineering teams to enhance product performance and user experience with greater precision and relevance.

For investors and industry researchers, the Report offers a comprehensive view of the global expansion landscape and key drivers behind the Chinese AI application ecosystem. It quantifies market opportunities, pinpoints core challenges, and reveals the strategic paths taken by leading players. The in-depth analysis of divergent development trajectories and computing demands across the seven major AI sectors provides valuable benchmarks and forward-looking perspectives for identifying high-potential sectors, assessing technical barriers, and evaluating the sustainability of business models. Moreover, the Report’s discussion of infrastructure optimization strategies, including solutions such as GMI Cloud, also highlights the critical service layers that underpin the entire global expansion ecosystem.

It is important to note that AI technology evolves at a much faster pace than traditional sectors, and both application formats and user demands can shift significantly within a short time frame. The Report centers its core value on supporting decision-making during the next 1–2 years—a critical strategic window for global expansion. Regardless of how technologies evolve, the demand for efficient, stable, and cost-effective computing infrastructure remains a  pillar underpinning the global scalability of AI applications. The Report’s in-depth analysis of computing infrastructure challenges, its evaluation of solutions such as GPU cloud, and its emphasis on scenario-specific deployment collectively address this enduring strategic imperative.
Together, these insights provide companies with a foundational logic for building long-term global competitiveness—a logic that remains robust and relevant, even as technologies continue to evolve.

These frontline insights offer solid data support and practical guidance to help companies craft informed globalization strategies, empowering them stand out amid fierce international competition and succeed in expanding their AI applications globally.

The full report, including raw data and detailed insights into computing requirements across the seven featured sectors, is available for download here.

G-P’s global HR agent recognized as a cutting-edge technology, delivering real-world impact

BOSTON, Aug. 11, 2025 /PRNewswire/ — REMOTE FIRST COMPANY — G-P (Globalization Partners), recognized as the undisputed leader in global employment by industry analysts, today announced Global HR Agent G-P Gia™ has been recognized as a Top HR Product of 2025 by HR Executive. The company will be honored on Monday, September 15, 2025, during the inaugural HR Icons Awards Evening at HR Tech 2025, held at Mandalay Bay in Las Vegas.

Judges for the 2025 HR Tech Top Product Awards included Elizabeth Clarke, Executive Editor for HR Executive, Jill Barth, HR Tech Editor for HR Executive and Steve Boese, longtime Top Products judge. In Jill Barth’s article on HR Executive, she notes that winners such as G-P Gia “showcase the rise of agentic AI in HR. These tools are now handling complex, multi-step processes that once demanded extensive human involvement.”

HR Executive also noted Gia was recognized for the following: “We think G-P Gia™ offers HR leaders a practical solution for managing global employment complexities. It streamlines tasks like drafting compliant contracts, comparing multi-state policies and handling performance or termination scenarios across jurisdictions. What sets it apart is its integration of proprietary data with legal and HR expertise, enabling real-time, context-aware guidance. We liked that Gia isn’t generic but is built on a specialized framework that reduces errors and adapts to local laws, making it especially useful for teams operating across borders. Its ability to generate documents, flag risks and support multilingual interaction helps HR professionals save time and reduce reliance on external legal counsel.”

G-P Gia is a first-of-its kind agentic AI solution that is transforming global HR. It empowers HR teams to move faster, operate smarter and achieve global ambitions without being held back by the complexities of global employment. Gia is powered by G-P’s proprietary knowledge base and vetted by legal and HR experts to deliver real-time, accurate global employment guidance and actionable HR documents for 50 countries and all 50 U.S. states. Gia dramatically reduces reliance on outside counsel and cuts administrative time and fees by up to 95%.

“HR isn’t just the backbone of every business, it’s a strategic driver of growth, and HR teams need sophisticated agentic technology that empowers them to lead,” said Nat Natarajan, chief product and strategy officer, G-P. “G-P Gia isn’t just another HR tool or generic AI model – it delivers next-level agentic capabilities and deep insights backed by G-P’s proprietary data and G-P’s verified sources that empower HR organizations to transform global HR and compliance and drive unparalleled business agility and productivity.”

The annual Top HR Products competition, organized by HR Executive and HR Tech, is designed to showcase a range of notable solutions introduced over the last year. Reviewed by a panel of esteemed judges, each product submission is evaluated based on its level of innovation, value added to the HR function, overall user experience, ability to deliver on its promises and effective integration, customization and analytics capabilities. The full list of the 2025 award-winning products can be viewed here.

Attendees of HR Tech 2025 can learn more about G-P and G-P Gia by visiting Booth No. #4633. 

About HR Executive
Established in 1987, HR Executive is the premier global media company covering strategic issues in HR. Part of the Arc network, HR Executive provides more than 220,000 subscribers with news, content and analysis of global HR trends. HR Executive is where HR professionals go when they need to know, providing in-depth coverage on all facets of human resource management, including recruiting, talent acquisition, compensation and benefits, learning and development, employment law, talent management, the latest technologies and more. Visit hrexecutive.com. 

About HR Tech
HR Tech is the industry’s premier event series showcasing breakthrough HR technologies, with its flagship U.S. conference serving as its cornerstone since 1997. HR Tech in the U.S. features the world’s largest expo of innovative HR solutions, live product demonstrations and the industry’s preeminent startup competition. The HR Tech portfolio has expanded globally with additional annual events in Europe and Asia, creating a worldwide network of innovation hubs that shape the future of work.

HR Tech is part of the event arm of HR Executive, a prestigious global media company established in 1987 that delivers news, content and analysis of strategic HR trends to more than 220,000 subscribers worldwide. The synergy between the events and media channels enables the brands to create a comprehensive knowledge ecosystem that addresses all aspects of human resource management, establishing the organization as the definitive authority for visionary HR leaders. Visit www.HRTechConference.com to learn more.

About G-P
G-P (Globalization Partners) is the recognized leader in global employment, ranked No. 1 in every industry analyst report. G-P’s global employment platform delivers everything companies of all sizes need to manage the full employee lifecycle with its trusted Global HR Agent, G-P Gia, and AI-powered Employer of Record (EOR) and Contractor products. G-P supports teams in 180+ countries with more than a decade of global employment experience, the largest team of in-country HR, legal, and compliance experts, and its unmatched proprietary knowledge base.

G-P: Global Made Possible™
To learn more, please visit: g-p.com or connect with us via LinkedIn, X, Facebook or check out our Blog.

LAS VEGAS, Aug. 11, 2025 /PRNewswire/ — Offensive security firm Theori has taken third place at the finals of the Defense Advanced Research Projects Agency’s (DARPA) AI Cyber Challenge. The $1.5 million prize was awarded at DEF CON 33 in Las Vegas, one of the world’s most influential cybersecurity conferences.

The AI Cyber Challenge (AIxCC) is a competition led by DARPA and the Advanced Research Projects Agency for Health (ARPA-H). It tasks elite security researchers with creating artificial intelligence that can automatically find and repair security flaws in the world’s most critical open-source software.

Theori’s AI system, “Robo Duck,” earned its top-tier ranking among seven elite finalists from leading academic and commercial institutions. In the final evaluation, the system autonomously identified a total of 34 vulnerabilities in real-world software, operating entirely without human intervention. Notably, this included zero-day vulnerabilities, critical flaws completely unknown to developers and for which no defense exists.

This achievement follows Theori’s dominant first-place victory in the 2024 semifinals, where the team won a $2 million prize from a field of over 100 teams.

“This represents a pivotal moment in securing the software that powers our world,” said Brian Sejoon Pak, CEO of Theori. “By automatically finding zero-day vulnerabilities in this competition, our work proves that the combination of deep offensive security expertise and advanced AI is already delivering critical security results today, addressing complex flaws that were previously impossible to solve at scale.”

Adding to the achievement, Theori also secured victory in the renowned DEF CON Capture the Flag (CTF) competition, marking their ninth total victory and a record-setting fourth win in a row. At DEF CON, the company was also awarded Best Privilege Escalation at the 2025 Pwnie Awards — the “Tonys” of cybersecurity — for its discovery of CVE-2024-50264, a critical Linux kernel vulnerability that could grant attackers root privileges. The team’s repeated dominance in the CTF, along with recognition for impactful vulnerability research, demonstrates a level of human expertise that the company has now proven it can translate into its AI-powered system.

In line with DARPA’s commitment to the community, Theori’s system will be released as open source to improve access to advanced cybersecurity tools. More details on the “Robo Duck” system are available at: https://theori-io.github.io/aixcc-public

About Theori

Theori is a pioneering cybersecurity firm based in Austin, Texas, specializing in offensive security research, red teaming, and AI-driven security solutions. Trusted by over 100 global organizations including Google, Microsoft, and Okta, Theori’s automated security platform enables continuous vulnerability detection at scale, making enterprise-grade security accessible to organizations of all sizes. With a team of world-class hackers, the company provides unparalleled expertise in identifying and addressing complex security challenges to help organizations strengthen their security posture.

• New DLC-2 4U Front I/O liquid-cooled system provides up to 40% data center power savings
• 8U front I/O air-cooled system delivers enhanced system memory configuration flexibility, density, and cold aisle serviceability
• The new front I/O air-cooled or liquid-cooled configurations expand customer choice and serve broader AI Factory environments

SAN JOSE, Calif., Aug. 11, 2025 /PRNewswire/ — Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, HPC, Cloud, Storage, and 5G/Edge, today announced the expansion of its NVIDIA Blackwell system portfolio with the new 4U DLC-2 liquid-cooled NVIDIA HGX B200 system ready for volume shipment and the introduction of an air-cooled 8U front I/O system. Tailored to the most demanding large-scale AI training and cloud-scale inference workloads, Supermicro’s new systems streamline the deployment, management, and maintenance of air- or liquid-cooled AI infrastructure and are designed to support coming NVIDIA HGX B300 platforms, allowing easy front I/O access, simplifying cabling, improving thermal efficiency and compute density, and reducing operational expenses (OPEX).

Front IO B200 Solutions

“Supermicro’s DLC-2 enabled NVIDIA HGX B200 system leads our portfolio to achieve greater power savings and faster time to online for AI Factory deployments,” said Charles Liang, CEO and president, Supermicro. “Our Building Block architecture enables us to quickly deliver solutions exactly as our customers request. Supermicro’s extensive portfolio now can offer precisely optimized NVIDIA Blackwell solutions to a diverse range of AI infrastructure environments, whether deploying into an air- or liquid-cooled facility.”

For more information, please visit https://www.supermicro.com/en/accelerators/nvidia 

Supermicro’s DLC-2 represents the next generation of Direct Liquid Cooling solutions, engineered to meet the escalating demands of AI-optimized data centers. This comprehensive cooling architecture delivers significant operational and cost benefits for high-density computing environments.

• Up to 40% data center power savings
• Faster time-to-deployment and reduced time-to-online by providing an end-to-end data center scale liquid cooling solution
• Up to 40% reduced water consumption with warm water cooling at an inlet temperature of up to 45°C, reducing the necessity of chillers
• Up to 98% system heat capture by liquid-cooling CPUs, GPUs, DIMMs, PCIe switches, VRMs, power supplies, and more 
• Enabling quiet data center operation at a noise level as low as 50dB

Supermicro now offers one of the broadest portfolios of NVIDIA HGX B200 solutions with the two new front I/O systems and six rear I/O systems allowing customers to choose their most optimized CPUs, memory, networking, storage, and cooling configuration. The new 4U and 8U front I/O NVIDIA HGX B200 systems are built upon proven solutions for large-scale AI training and inference deployment by addressing major pain points of deployment, including networking, cabling, and thermals.

“Advanced infrastructure is accelerating the AI industrial revolution for every industry,” said Kaustubh Sanghani, vice president of GPU product management at NVIDIA. “Based on the latest NVIDIA Blackwell architecture, Supermicro’s new front I/O B200 systems equip enterprises to deploy and scale AI at unprecedented speed—delivering breakthrough innovation, efficiency, and operational excellence.”

Modern AI data centers demand high scalability that requires substantial node-to-node connections. The system’s 8 high-performance 400G NVIDIA ConnectX^®-7 NICs and 2 NVIDIA Bluefield^®-3 DPUs are moved to the front of the system to allow for the configuration of networking cables, storage drive bays, and management all from the cold aisle. The NVIDIA Quantum-2 InfiniBand and the Spectrum^™-X Ethernet platform are fully supported to ensure the highest-performing compute fabric.

In addition to system architecture improvements, Supermicro has fine-tuned components to maximize efficiency, performance, and cost savings for AI data center workloads. Upgraded memory expansion with 32 DIMM slots delivers greater flexibility for system memory configuration, enabling large-capacity memory implementations. Large system memory complements the NVIDIA HGX B200’s HBM3e GPU memory by eliminating CPU-GPU bottlenecks, optimizing large workload processing, enhancing multi-job efficiency in virtualized environments, and accelerating data preprocessing.

All Supermicro 4U liquid-cooled systems and 8U or 10U air-cooled systems are optimized for NVIDIA HGX B200 8-GPU with each GPU connected via 5^th Generation NVLink^® at 1.8TB/s, providing a combined total of 1.4TB of HBM3e GPU memory per system. NVIDIA’s Blackwell platform delivers up to 15x faster real-time inference performance and 3x faster training for LLMs compared to the Hopper generation of GPUs. The new front I/O systems with dual-socket CPUs supporting up to 350W Intel^® Xeon^® 6 6700 Series processors deliver high performance and efficiency for a wide range of AI workloads.

The newly introduced 4U front I/O liquid-cooled system features front-accessible NICs, DPUs, storage, and management components. It utilizes dual-socket Intel^® Xeon^® 6700 Series processors with P-cores up to 350W and NVIDIA HGX B200 8-GPU configuration (180GB HBM3e per GPU). The system supports 32 DIMMs with up to 8TB capacity at 5200MT/s or up to 4TB at 6400MT/s DDR5 RDIMM, plus 8 hot-swap E1.S NVMe storage drive bays and 2 M.2 NVMe boot drives. Network connectivity includes 8 single-port NVIDIA ConnectX^®-7 NICs or NVIDIA BlueField^®-3 SuperNICs and two dual-port NVIDIA BlueField^®-3 DPUs.

Supermicro designed this liquid-cooled system as the building block for densely populated AI factories that can reach cluster sizes beyond thousands of nodes, delivering up to 40% data center power savings compared to air cooling.

The 8U front I/O air-cooled system shares the same front-accessible architecture and core specifications while providing a streamlined solution for AI factories without liquid-cooling infrastructure. It features a compact 8U form factor (compared to Supermicro’s 10U system) with a reduced-height CPU tray while maintaining the full 6U-height GPU tray to maximize air-cooling performance.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first to market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro’s motherboard, power, and chassis design expertise further enable our development and production, enabling next generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

JAKARTA, Indonesia, Aug. 11, 2025 /PRNewswire/ — Comfee, Germany’s No.1 air conditioner brand, has officially launched its Gusto series in Indonesia. The launch was paired with a vibrant summer campaign aimed at engaging young consumers through interactive experiences and online activations.

Comfee is a lifestyle-focused brand created for the younger generation. Its core idea, “cooling smart with style,” blends modern aesthetics with smart features to provide comfort, efficiency, and freedom. The brand’s slogan, “Comfee, How I Cool Smart,” reflects this mission—delivering more than just cooling, but a smarter and more expressive lifestyle.

The entry into the Indonesian market marks an important step in Comfee’s Southeast Asia expansion. To celebrate, Comfee rolled out the “Live Joyfully with Comfee” campaign. Through localized activities and partnerships with popular KOLs, the campaign encouraged young Indonesians to enjoy life’s vibrant moments with Comfee products. These collaborations emphasized themes of joy, freedom, and personal comfort, quickly building momentum on social media.

Comfee’s social campaign led to strong engagement across platforms. Influencers from different fields showcased how Gusto air conditioners fit into their lives—highlighting features like energy management, Active Clean+, and durability. User feedback was highly positive, with many praising the product’s convenience and sleek look. Gusto series resonates with young Indonesians and is gaining recognition in the country’s competitive AC market.

ireneswnd: https://www.tiktok.com/@ireneswnd/video/7530573727642275128

Comfee’s vision goes beyond products. It aims to shape a smarter, more personalized lifestyle for young consumers. With continued innovation and a deep focus on design and user needs, Comfee is set to redefine home comfort in Indonesia and across Southeast Asia.

Comfee Official Shops:

• lazada link: https://www.lazada.co.id/shop/bpcwyicg 
• tokpedia link: https://www.tokopedia.com/comfee-indonesia 
• tiktok: https://www.tiktok.com/@comfee_indonesia 
• shopee: https://shopee.co.id/comfeeofficialstore

AHMEDABAD, India, Aug. 11, 2025 /PRNewswire/ — Accord Plasma B.V., a subsidiary of Intas Pharmaceuticals, has announced the execution of an agreement to acquire 100% of Prothya Biosolutions Belgium BV and each of its subsidiaries, a leading plasma-derived medicinal products (PDMP) business based primarily in the Netherlands and Belgium. Subject to the satisfaction of customary closing conditions, including regulatory clearances, the deal is anticipated to close shortly.

This proposed acquisition marks a significant step in Intas and Accord’s long-standing ambition to establish a global presence in the PDMP market, expanding Intas’s established leadership in India into a truly international footprint.

Prothya Biosolutions, with primary operations in Amsterdam and Brussels and plasma collection centres across Hungary, employs approximately 1,200 people. The company is one of Europe’s largest plasma fractionators. Formed in 2021 through the integration of Plasma Industries Belgium, originally linked to the Belgian Red Cross, and Sanquin Plasma Products, formerly a part of the Sanquin Blood Supply Foundation, Prothya brings over 60 years of experience in plasma collection and the development of PDMPs.

Binish Chudgar, Chairman of Intas & Accord, stated:

“We are delighted to expand our plasma business through the acquisition of Prothya Biosolutions. Combined with our fractionation capabilities in India, this positions us to create a truly global plasma platform—serving patients worldwide with critical, often under-prescribed, therapies.”

Intas’s plasma division in India has been supplying hospitals with PDMPs since 2015, supported by an annual fractionation capacity of over 1 million litres and exports to multiple international markets. Additional capacity is due to come online with the expansion of Intas’s Gujarat-based facility.

Nir Epstein, CEO of Prothya, commented:

“Over the past four years, we’ve expanded into new markets, advanced critical therapies, established our own plasma collection network in Hungary, and supplied plasma derivatives to some of the world’s leading PDMP companies—all while building a stronger, more resilient organization. I want to thank our dedicated team for their unwavering commitment to our patients. I believe Accord is the right company to support Prothya and its people in the next phase of growth and global expansion.”

The global market for PDMPs—particularly IVIG (intravenous immunoglobulin)—is currently valued at $30 billion and is expected to reach $50 billion by 2035. This acquisition will give Intas access to significant additional fractionation capacity, supported by Accord’s commercial footprint spanning 85 countries.

BofA Securities is acting as the exclusive financial advisor to Accord in this transaction.

Evercore is acting as the exclusive financial advisor to Prothya in this transaction.

About Intas:

Intas Pharmaceuticals Ltd. is a leading vertically integrated pharmaceutical company based in Ahmedabad, India, having end-to-end capabilities of formulation development, manufacturing, and marketing along with backward integration of APIs.

Intas also has strong in-house biosimilar development and marketing capabilities, with more than 15 products being marketed. Intas is committed to expanding global healthcare access by providing affordable, high-quality medications through strategic partnerships and extensive R&D investment to meet the diverse needs of healthcare systems around the world. Intas has set up a network of subsidiaries, under the umbrella name of Accord Healthcare, to operate in global markets.

Over the years, Intas has grown both organically and via acquisition, expanding its product portfolio and operations year on year. It is currently present in more than 85 countries worldwide with robust sales, marketing and distribution infrastructure in markets like North America, Europe, Central & Latin America, Asia-Pacific as well as CIS and MENA countries. Intas’s remarkable success in North America and European operations has helped us emerge as a global brand in the world’s largest pharmaceutical markets.