<p style="text-align: justify;">[Shanghai, China, September 20, 2025] The 10th HUAWEI CONNECT took place in Shanghai from September 18 to 20, 2025. During his keynote titled "Empowering AI Pioneers in Industries to Build Success with Developers", Kang Ning, President of Huawei Cloud Global Ecosystem, detailed the latest advancements in the Huawei Cloud ecosystem and unveiled a comprehensive upgrade to Huawei Developer Space.</p> <p style="text-align: justify;">Mr. Kang stated, "Huawei Cloud is dedicated to an open, developer-centric AI ecosystem for shared success. We will continue to invest significantly in both new and foundational technologies, build more efficient development platforms, and support global developers, empowering AI pioneers for industries." To date, the number of global developers on Huawei Cloud has surpassed 8.5 million, with the Developer Institute having trained over 5.5 million individuals. Huawei Cloud now boasts 50,000 partners, and annual transactions in KooGallery have exceeded 1 million.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/kangning250920cover.jpg" width="550"></p> <p style="text-align: center;"><em>Kang Ning, President of Huawei Cloud Global Ecosystem</em></p> <p style="text-align: justify;"><strong>&nbsp;</strong></p> <p style="text-align: justify;"><strong>Continuous Commitment to Technological Innovation and Development Platforms</strong></p> <p style="text-align: justify;">To equip developers with advanced AI-native application development capabilities, Huawei Cloud is continuously increasing its investment in tools and offerings for a thriving experience with the cloud.</p> <p style="text-align: justify;">First, Huawei Developer Space has been comprehensively upgraded with more AI development tools and free benefits. Developers access Developer Space through the web, CLI, and IDEs to enjoy features such as cloud development environments, the enterprise-class agent platform Versatile, GaussDB, and CodeArts Doer for Coding. It also provides a weekly free 180 hours of cloud development environment, 1 million cloud function calls, and 2 million MaaS tokens. Versatile offers lifecycle management from agent development, execution, to O&amp;M. It seamlessly integrates Model Context Protocol (MCP) tools and opens core platform capabilities, which simplifies integration, enhances agent development by 40%, and reduces deployment costs by 30%.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/开发者空间全面升级.jpg" width="550"></p> <p style="text-align: center;"><em>Huawei Developer Space Undergoes Comprehensive Upgrade</em></p> <p style="text-align: justify;">Developer Space is continually enhancing the development experience with a wider range of scenario-specific resources for developers. For instance, developers in the development phase trigger the cloud IDE from the repository with just one click, a significant productivity boost. In the build and test phases, developers gain access to on-demand compute provisioned from the pipeline, a setup head start using CLI, and features like Kunpeng adaptation and migration, OpenHarmony compilation and testing, and web-based device-cloud integration tests. This cuts down the environment setup time from hours to mere seconds and reduces compute costs by over 50%. Currently, Developer Space boasts 1.2 million users and supports 400,000 cloud developers.</p> <p style="text-align: justify;">In addition, the Huawei Cloud Developer Institute serves as a comprehensive learning hub for Huawei's foundational and AI technologies. The recently introduced AI compute learning zone offers over 1,200 courses in operator development, CANN, scientific research, and AI compute model development, along with free AI labs. The Institute's certifications consolidate extensive best practices from Huawei's foundational technologies. For instance, AI onboarding covers foundation models, prompt engineering, RAG, and agent development. These technical certifications, including Cangjie and HarmonyOS, turn more foundational technology learners into experts.</p> <p style="text-align: justify;"><strong>&nbsp;</strong></p> <p style="text-align: justify;"><strong>Furthermore, Huawei Cloud enhances its toolchains for AI applications with even greater intelligence and efficiency.</strong></p> <p style="text-align: justify;">For AI development, the foundation model toolchain ModelArts Studio is a Model as a Service (MaaS) platform. Now with a broader range of state-of-the-art models, from single-modal to multi-modal, this toolchain works with flexible sequence length options from 4K to 128K tokens. From data preparation to model tuning and evaluation, developers now swiftly create specialized models without reinventing the wheel. AI models are now even more accessible, with easy calls in just a few clicks through extensive MCP tools and model APIs compatible with both the Huawei Cloud Versatile and popular third-party tools like Dify, Cline, and BiSheng. Additionally, full-modal models offer on-demand token services that reduce compute costs by over 85%.</p> <p style="text-align: justify;">For software development, Huawei Cloud introduces CodeArts Doer for Coding for higher precision, efficiency, and stability. This assistant builds Huawei's extensive R&amp;D and AI expertise into hierarchical memory and motivational forgetting mechanisms to enhance code generation and align with business needs. This end-to-end AI assistant boasts the industry's most comprehensive suite of professional agents, spanning the eight stages from requirements to deployment for over 40% more development efficiency. With double industry-standard protection and multi-agent self-healing workflows, CodeArts Doer identifies and rectifies vulnerabilities within minutes, ensuring robust security compliance.</p> <p style="text-align: justify;">Huawei Cloud Developer Technical Support Engineers (DTSEs) tackle the three primary challenges faced by AI developers: difficult model implementation, fragmented toolchains, and limited agent collaboration. Drawing from industry-proven best practices, Huawei Cloud DTSEs provide a robust model-agent empowerment system.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Empowering Partners for Competency Building and Business Success</strong></p> <p style="text-align: justify;">Huawei Cloud is dedicated to supporting partners through competency-focused initiatives. To date, over 4,000 software partners and more than 1,000 service partners have joined the Huawei Cloud partner network. This year, Huawei Cloud launched an incentive program to promote foundational technologies such as AI Compute Service, Kunpeng cloud services, HarmonyOS application cloud migration, and GaussDB. There is an additional CNY150 million in incentives and coupons for compute resources, migration, Service Partner Expert Capability Building Funding Head (FH), Market Development Fund (MDF), and Non-Recurring Engineering (NRE). Additionally, comprehensive toolchain support empowers partners to develop more competitive joint solutions and innovative capabilities based on Huawei's foundational technologies.</p> <p style="text-align: justify;">Huawei Cloud has established an AI marketplace within KooGallery, encompassing data, models, and tools. This comprehensive platform offers high-quality, full-stack AI resources for developers. The Agent Zone of the AI marketplace features over 1,000 MCP tools and agents, enabling developers to seamlessly publish agents created on either Huawei Cloud or third-party platforms to this zone. Additionally, the AI marketplace offers promotional support and shared opportunities to expedite revenue generation.</p> <p style="text-align: justify;">The cloud ecosystem depends on the collaborative efforts of partners and developers to innovate and thrive. Huawei Cloud remains committed to increasing investment and collaboration in a robust AI ecosystem, driving new value through digital and intelligent transformations.</p>

<p style="text-align: justify;">From September 18 to 20, HUAWEI CONNECT 2025 was held in Shanghai. The theme was "All Intelligence." During the event, a Huawei Cloud database session named <em>Huawei Cloud Databases: A Better Way for an Intelligent Future</em> was hosted, and Huawei Cloud databases were talked about in several keynote speeches.</p> <p style="text-align: justify;"><strong>In his keynote speech, Eric Xu, Deputy Chairman and Rotating Chairman of Huawei, said that Huawei was the first in the industry to introduce supernodes into the realm of general-purpose computing.</strong> Huawei launched the world's first general-purpose compute supernode, TaiShan 950 SuperPoD, which is integrated into GaussDB, Huawei's distributed database product. This supernode can completely replace mainframes, midrange servers, and Exadata database appliances across diverse scenarios.</p> <p><em><img height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/image.png" style="display: block; margin-left: auto; margin-right: auto;" width="550"></em></p> <p style="text-align: center;"><em>Eric Xu, Deputy Chairman and Rotating Chairman of Huawei</em></p> <p style="text-align: justify;"><strong>Zhang Ping'an, Huawei's Executive Director of the Board and CEO of Huawei Cloud,</strong> shared how Huawei Cloud GaussDB deployed based on general-purpose computing supernodes enables layered pooling of compute, memory, and storage resources, providing an efficient and reliable data foundation for mission-critical workloads. For example, the core system of a large bank uses this technology to process more than one million transactions per second during peak hours. GaussDB allows multi-read and multi-write on any node at the same time, breaking away from the restrictions of a traditional architecture, where only the primary node supports data read and write operations. GaussDB databases support dynamic load scheduling, greatly improving the performance of concurrent transaction processing. Real-world tests show that a GaussDB three-node cluster deployed based on general-purpose computing supernodes can process 5.4 million transactions per minute. This marks a 2.9-fold performance improvement over a centralized Kunpeng-based platform. Moreover, GaussDB's innovative adjacent-node fault detection and on-demand restoration allow for rapid cluster node recovery within 6 seconds, cutting recovery time by more than half compared to traditional fault detection methods.</p> <p style="text-align: center;"><img height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/zh-cn/unclassification/20259/%E5%BC%A0%E5%B9%B3%E5%AE%892509191.jpg" width="550"></p> <p style="text-align: center;"><em>Zhang Ping'an, Huawei's Executive Director of the Board and CEO of Huawei Cloud</em></p> <p style="text-align: justify;">During a session with the theme, <strong>Huawei Cloud Databases: A Better Way for an Intelligent Future</strong>, the <em>GaussDB Maintenance White Paper for the Financial Sector</em> was released. This white paper introduced technical upgrades, industry practices, and partner achievements with Huawei Cloud databases and explored possibilities in the AI era.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Technical Innovations</strong></p> <p style="text-align: justify;"><strong>Ali Batuhan Karacoban, Head of Engineering Manager of Data Platform in the Huawei Türkiye Research and Development Center,</strong> unveiled innovations focused on stability, speed, and comprehensiveness of three major Huawei Cloud database products.</p> <p><img height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/zh-cn/unclassification/20259/Ali%20Batuhan%20Karacoban250919.jpg" style="display: block; margin-left: auto; margin-right: auto;" width="550"></p> <p style="text-align: center;"><em>Ali Batuhan Karacoban, Chief Database Solution Architect of Huawei Türkiye R&amp;D Center</em></p> <p style="text-align: justify;">The GaussDB pooling-based transparent multi-write architecture represents significant advancements in terms of performance, reliability, and scalability. With this architecture, application performance is doubled, and the time needed for large-scale cluster fault detection is less than 2 seconds.</p> <p style="text-align: justify;">TaurusDB is 100% compatible with PostgreSQL, boosts performance by 30%, and cuts costs by 50%. Additionally, its AI-based serverless architecture enables seamless resource scaling within seconds and ensures zero downtime.</p> <p style="text-align: justify;">GeminiDB uses an innovative multitenant serverless architecture, improving resource cost-effectiveness. For key-value scenarios, intelligent shard splitting is supported. DynamoDB and HBase APIs are supported now.&nbsp;</p> <p style="text-align: justify;">These diverse innovations provide robust support for the stable operations, iterations, and use case expansion of core applications, helping enterprises gain a competitive edge in digital transformation.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>White Paper Release</strong></p> <p style="text-align: justify;">The stability and security of databases are the backbone of financial systems. They underpin the movement of trillions in capital and ensure the security of transactions for hundreds of millions of users. Only through standardized operations and maintenance (O&amp;M) can database systems evolve from mere alternatives to true leading databases. Accelerating the development of a standardized database O&amp;M framework has become a shared priority for numerous financial enterprises.</p> <p style="text-align: justify;">In this regard, the Beijing FinTech Industry Alliance took the lead and worked together with Industrial and Commercial Bank of China (ICBC), Postal Savings Bank of China, Bank of China, Bank of Communications, Huaxia Bank, and Huawei Cloud to compile the <em>GaussDB Maintenance White Paper for the Financial Sector</em>. Ge Weihao, Service Expert of Huawei China Finance Account Dept, Wu Xiaoye, Senior Manager of ICBC Data Center, and Dou Deming, Chief Product Expert of Huawei Cloud Database, attended the release ceremony of this white paper. The white paper analyzes the challenges faced in database O&amp;M within the financial sector. It introduces the application, financial-grade O&amp;M system, typical O&amp;M scenarios, and practical cases of GaussDB. It also provides the outlook for the evolution of O&amp;M models and future technological development of GaussDB. The white paper provides a robust basis for advancing financial databases from being merely functional to becoming user-friendly and easy to maintain.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/发布仪式250919.jpg" width="550"></p> <p style="text-align: center;"><em>The Release Ceremony of the "GaussDB Operations White Paper for the Financial Industry"</em></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Industry Practices</strong></p> <p style="text-align: justify;">At the Huawei Cloud database session, enterprise representatives shared their experiences working with Huawei Cloud databases.</p> <p style="text-align: justify;">Yang Xiaobin, General Manager of the Service Platform O&amp;M Department of CITIC Digital Technology, noted that the company's partnership with Huawei Cloud dates back to 2020, when CITIC Cloud first connected to Huawei Cloud and successfully migrated its first batch of applications. The following year, CITIC Digital Technology achieved a major milestone with its first project, valued at about CNY1 million. Leveraging Huawei FinTech Cloud Infrastructure and TaurusDB, CITIC Digital Technology built a robust financial cloud foundation for CITIC Cloud to accelerate cloud migration of their core applications. TaurusDB supports shared data access, decoupled storage and compute, decoupled primary and standby instances, full-process encryption, and an ultra-high reliability with zero RPO. These capabilities have enabled the financial cloud platform of CITIC Cloud to operate efficiently and stably 24/7, with zero changes to applications. Looking ahead, CITIC Digital Technology plans to further integrate Huawei Cloud databases into more sectors like integrated finance, advanced manufacturing, and new materials, aiming to lay a secure, reliable, efficient data foundation for future innovation.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/yangxiaobin250919.jpg" width="550"></p> <p style="text-align: center;"><em>Yang Xiaobin, General Manager of Service Platform O&amp;M Department of CITIC Digital Technology Group</em></p> <p style="text-align: justify;">Burak Gocmen, Chief Information Officer (CIO) of Türkiye's Logo Group, shared his insights on collaborating with Huawei Cloud databases. Logo Group is the largest public software company in Türkiye. They operate in over 60 countries and offer solutions including ERP, human resource management, electronic invoicing, and customer relationship management. In 2023, Logo Group began using Huawei Cloud databases to develop highly reliable and cost-effective SaaS solutions. They implemented a geo-redundant HA architecture, deploying two active-active sites in Istanbul and one disaster recovery (DR) site in Ankara. This setup achieved zero RPO for intra-city cross-DC HA in Istanbul, automatic failovers, robust data backup and restoration, and 99.98% availability for their services. Furthermore, using a one-stop migration solution that integrates UGO and DRS, they completed end-to-end automated data migration, with 80% of the code not requiring any modification at all. The high compatibility of TaurusDB minimized migration costs and risks. Through this collaboration, Logo Group optimized their technical architecture, reduced TCO by 65%, shortened the time for new application GTM from months to days, reduced the application latency from 50 ms to 15 ms, and accelerated the development of their core services.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/zh-cn/unclassification/20259/Burak%20Gocmen250919.jpg" width="550"></p> <p style="text-align: center;"><em>Burak Gocmen, CIO of Türkiye's Logo Group</em></p> <p style="text-align: justify;">Real-Time Advertising (RTA) serves as a critical bridge between media platforms and advertisers, playing a central role in traffic control, data collection, and targeted advertising. Wu Di, CTO of WETECH, shared how the RTA system of WETECH handles massive volumes of data and supports ultra-high concurrency and low latency. To meet these demands while controlling costs, the database must deliver both high stability and exceptional performance. GeminiDB has become the core accelerator of their RTA system, supporting millions of concurrent read/write operations with an average latency of less than 0.2 milliseconds in live production. Powered by the enterprise-grade DB Load feature, data can be imported to the database within minutes. The data import speed has been improved by 5 times, meeting the WETECH's need for rapid ingestion of petabytes of user characteristic data. Through independent scaling of compute and storage, along with automatic storage scaling, GeminiDB ensures zero downtime during specifications upgrade. This helped WETECH cut costs by over 30% and deliver targeted advertising.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/zh-cn/unclassification/20259/wudi250919.jpg" width="550"></p> <p style="text-align: center;"><em>Wu Di, CTO of WETECH</em></p> <p style="text-align: center;">&nbsp;</p> <p style="text-align: justify;"><strong>Partner Ecosystem</strong></p> <p style="text-align: justify;">Huawei Cloud has been working with many partners to support digital and intelligent transformation of Hong Kong, an international hub for finance and trade. Hong Kong ASL is a key Huawei partner using Huawei Cloud databases. Kenny Mak, Executive Vice President of ASL, shared insights on working with Huawei Cloud databases, offering a model for companies pushing forward digital and intelligent transformation. ASL is one of Hong Kong's oldest local IT service providers, widely recognized as a leading integrated technology partner across the Asia-Pacific region. Huawei Cloud conducted eight GaussDB training activities for over 100 engineers of ASL and worked with ASL to implement the first benchmark GaussDB project in the Hong Kong government sector. Together, they have developed robust GaussDB and cloud solutions, achieving intelligent analysis of complex data and robust data security. These capabilities help government organizations and companies in Hong Kong accelerate their digital transformation. In the future, Huawei Cloud GaussDB and ASL will further strengthen ecosystem collaboration to accelerate the development of Southeast Asia and provide more tailored technical support and service experience for more enterprises in Hong Kong.</p> <p><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/Kenny Mak250919.jpg" style="display: block; margin-left: auto; margin-right: auto;" width="550"></p> <p style="text-align: center;"><em>Kenny Mak, Executive Vice President of Automated Systems (H.K.) Limited</em></p> <p style="text-align: justify;">As the digital economy is growing fast, enterprises are placing greater demands on database stability, reliability, and adaptability. In the future, Huawei Cloud databases will continue to grow more stable, faster, and more comprehensive, reinforcing a data foundation with robust technologies and delivering scenario-specific solutions tailored to diverse industries. Huawei Cloud databases will continue to provide vital support for all industries to overcome data challenges, enhance operational efficiency, and accelerate digital and intelligent transformation.</p>

<p style="text-align: justify;">[Shanghai, China, September 19, 2025] Today, during HUAWEI CONNECT 2025, the Huawei Cloud Industry Summit, themed "Huawei Cloud: The AI Pioneer in Industry", convened in Shanghai. Hundreds of senior executives and experts from sectors including government, public utilities, internet, finance, automotive, manufacturing, and retail attended the event. Huawei Cloud joined leading global leaders to share cutting-edge technologies and exemplary industry success stories. At the summit, Huawei Cloud unveiled a series of new industry solutions, accelerating intelligence and empowering AI pioneers for industries.</p> <p style="text-align: justify;">In his opening address, Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Services, stated: "AI is reshaping industries and our lives. To fully harness AI, businesses require platforms for data, models, and applications to work together to generate new value and achieve the leap to intelligence. At Huawei Cloud, our AI capabilities have been proven practical in over 500 scenarios across more than 30 industries. Looking ahead, Huawei Cloud is ready to serve you with a solid cloud foundation for compute, drive your progress with data, model, and application platforms, and secure your AI journey with our practical expertise. Together, we will empower AI pioneers in every industry."</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/zhangyougui250918_1.jpg" width="550"></p> <p style="text-align: center;"><em>Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Services</em></p> <p style="text-align: justify;">Joy Huang, Vice President of Huawei Cloud, delivered a keynote speech titled "Accelerating Intelligence with Huawei Cloud", sharing insights on the development trends of the AI industry and highlighting Huawei Cloud's technological advancements in cloud native solutions, AI Compute Service, foundational models, industry-specific solutions, and successful implementations. He highlighted that in the AI era, Huawei Cloud leads as the pioneer in AI compute and technologies, and empowers every customer to become an intelligence pioneer too in their own industry. Looking ahead, Huawei Cloud will dive deeper into industries, innovate in cloud architecture, methodologies, processes, tools, solutions, and operational excellence to better address diverse industry needs and amplify intelligence.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/华为云副总裁黄瑾发布行业解决方案0920.jpg" width="550"></p> <p style="text-align: center;"><em>Joy Huang, Vice President of Huawei Cloud</em></p> <p style="text-align: justify;">Staying industry-focused, Huawei Cloud has honed its AI capabilities to play a significant role in public services, finance, automotive, manufacturing, retail, pharmaceuticals, Internet, and other sectors. For instance, in manufacturing, the Huawei Cloud Pangu model has helped Shanghai Baowu Steel enhance the accuracy of hot rolling production predictions by 5%, boosting the annual revenue of each production line by CNY90 million. In public services, the National Library of Chile utilized Huawei Cloud AI Compute Service to develop Latin America's first bilingual virtual human in English and Spanish, providing visitors with innovative services like cultural tours and heritage interpretation. In the retail and e-commerce sectors, Rainbow has developed the "Lark Retail Model" based on the Pangu model, which is applied in scenarios such as employee AI assistant and market operations.</p> <p style="text-align: justify;">In 2025, an increasing number of customers choose Huawei Cloud as their trusted partner for digital and intelligent transformation. Currently, over 500 financial institutions, 500 retail and e-commerce companies, and 90% of Chinese Internet companies have already selected Huawei Cloud.</p> <p style="text-align: justify;">In its mission to advance industry intelligence, Huawei Cloud is dedicated to leveraging its strengths and expertise to empower customers and partners to easily build solutions tailored to their specific industry needs. To achieve this, Huawei Cloud focuses on innovation in four key areas: cloud architecture, methods, processes, and tools, solutions, and operational excellence.</p> <p style="text-align: justify;">For the cloud architecture, Huawei Cloud enables customers to establish a robust cloud foundation with ease for their global business through cutting-edge solutions like hybrid cloud and cloud-edge/cloud-cloud/cloud-machine collaboration. Huawei Cloud Stack offers industry-leading hybrid cloud infrastructure, supporting mission-critical operations in sectors such as finance. CloudPond, a dedicated edge cloud solution with integrated hardware and software, allows for deployment of cloud services wherever customers need, enhancing operational efficiency and safeguarding local data integrity. CloudDevice leverages cloud-device collaboration to offload computational tasks from endpoint devices, thereby reducing their workload. Furthermore, the CloudRobo embodied AI platform harnesses the power of cloud computing and advanced AI models to empower robots with enhanced intelligence and decision-making capabilities.</p> <p style="text-align: justify;">In terms of methods, processes, and tools, drawing on its own digital and intelligent transformation experiences and industry best practices, Huawei Cloud has collaborated with customers, partners, and experts to develop robust intelligent implementation methodologies and Enterprise Architecture Bench (EAB). Huawei Cloud outlines seven essential steps: AI high-level design, high-value scenario identification, architecture and process reshaping, data and knowledge engineering, model design and verification, business operation integration, and continuous operations and governance. With open EAB tools, enterprises can precisely assess the value of intelligent scenarios, design 4A architectures, manage intelligent solution delivery in one stop, and deploy intelligent solutions swiftly and effectively.</p> <p style="text-align: justify;">In terms of solutions, Huawei Cloud has officially launched a suite of innovative industry solutions, spanning critical sectors such as government, finance, internet, retail, automotive, and manufacturing. 12 solutions are tailored for global markets, including Huawei Cloud Government Data Enablement Solution, Tongdun's Financial Risk Management Solution, Huawei Cloud Intelligent E-commerce Search and Recommendation Solution, Techsun Social Hub.AI Solution, Stardust AI Data Platform for All Industries, and CONTACT Software Elements Platform Solution. For the Chinese market, Huawei Cloud launched Game Deployment Solution, CloudVeo Intelligent Driving Cloud Service, Intelligent Financial Risk Control Solution, Financial Intelligent Marketing Solution, AI Pharmaceutical Research Solution, AI CITY, AI Trusted Data Space, and Corporate Cloud, boosting efficiency and innovation across diverse phases from R&amp;D, production, to service.</p> <p style="text-align: justify;">In terms of operational excellence, Huawei Cloud's operational excellence and customer success team has collaborated with customers on over 200 projects in the past two years, implementing architectural excellence to help build resilient, intelligent businesses.</p> <p style="text-align: justify;">At the summit, leading global enterprises from various industries shared their experiences and achievements in innovation on Huawei Cloud, digital transformation, and business growth.</p> <p style="text-align: justify;">Ji Jun, Deputy Director of the Intelligent Digitalization Institute at XCMG Research Institute, outlined XCMG's product intelligence strategy. The integration of AI into manufacturing is the ongoing trend and the path forward for XCMG's future. By collaborating closely with Huawei Cloud, XCMG has made great progress and breakthroughs in unmanned vehicles and autonomous operation, laying a robust foundation for turning XCMG machinery into embodied AI robots that will establish a benchmark for the intelligent mining equipment industry.</p> <p style="text-align: justify;">Faraz Arshad, CTO of Starzplay, stated that with its serverless scalability, solid cloud foundation, and advanced intelligent capabilities, Huawei Cloud has enabled Starzplay to develop a high-performance content distribution and intelligent operations platform. This collaboration has notably enhanced user experience and accelerated the innovation and scale growth of streaming media in the Middle East.</p> <p style="text-align: justify;">Anders Freitas, a Cloud Specialist from Itaú Unibanco in Brazil, underlined that Huawei Cloud has built a solid cloud foundation with security and automation capabilities to accelerate their cloud migration.</p> <p style="text-align: justify;">Mi Qipei, Chief Product Officer of Gaoding (Xiamen) Technology, revealed that the company leverages Huawei Cloud AI Token Service to craft an AI-driven creativity community for designers. ModelArts Studio, Huawei Cloud's Model as a Service (MaaS) platform, delivers stable, robust compute to power Gaoding's multimodal model, a big move to revolutionize designer inspiration and design processes.</p> <p style="text-align: justify;">The tide of intelligence surges ahead. Huawei Cloud remains committed to diving into industries, delivering cutting-edge, value-rich cloud services, and empowering AI pioneers to amplify intelligence.</p>

<p style="text-align: justify;">[Shanghai, China, September 19, 2025] On the second day of HUAWEI CONNECT 2025, Zhang Ping'an, Huawei's Executive Director of the Board and CEO of Huawei Cloud, delivered a keynote speech titled "All Intelligence: Empowering AI Pioneers for Industries". He shared Huawei Cloud's innovation and practices in AI compute services, foundation models, embodied AI, AI agents, and much more. Additionally, Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Service, shared Huawei Cloud's innovations and experiences that are empowering enterprises to succeed in global markets in the digital and intelligent era.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Constant innovation in AI Compute Service: Unleashing powerful compute in the intelligent era</strong></p> <p style="text-align: justify;">This year, Huawei Cloud announced its AI Compute Service powered by CloudMatrix384. The specifications of the Huawei CloudMatrix supernode will be upgraded from 384 cards to 8,192 cards. The supernodes can support a hyperscale cluster running on 500,000 to 1 million cards, thus providing robust AI compute, an invaluable resource in the intelligent era. Huawei Cloud also announced innovative memory storage with its Elastic Memory Service (EMS), which achieved an industry first by expanding video RAM with memory. This drastically reduces the latency of multi-round conversations on foundation models, greatly improving user experience.</p> <p style="text-align: justify;">With rapidly increasing demand for AI compute, traditional data centers are no longer sufficient to serve as efficient AI infrastructure. To support AI workloads, the power consumption of a single cabinet will need to be upgraded from 10 kW to 70 kW, and possibly as high as 200 kW, and heat dissipation will need to shift from air cooling to full liquid cooling. Huawei Cloud has deployed fully liquid-cooled AI data centers in China's Guizhou, Inner Mongolia, and Anhui. These AI data centers support 80 kW heat dissipation per cabinet, reduce power usage effectiveness (PUE) to 1.1, and offer AI-enabled O&amp;M. This means enterprises do not need to reconstruct traditional data centers or build new ones. Instead, they require only a pair of optical fibers in order to connect to the data center and access efficient AI compute, as well as full-stack dedicated AI cloud services, on Huawei Cloud.</p> <p style="text-align: justify;">Zhang Ping'an pointed out that Huawei Cloud's AI Token Service abstracts away the underlying technical complexity and directly provides users with the final AI computing results. This allows users to utilize the inference computing power in the most efficient way possible. The CloudMatrix384 supernode realizes the full pooling of compute, memory, and storage resources, decouples compute tasks, storage tasks, and AI expert systems, and converts serial tasks into distributed parallel tasks, greatly improving the inference performance of the system. In scenarios involving inference tasks with different latency requirements, such as online, nearline, and offline inference, CloudMatrix384 delivers an average inference performance per card that is 3 to 4 times that of H20.</p> <p style="text-align: justify;">At the conference, Zhang Ping'an announced the official launch of the AI Token Service powered by CloudMatrix384. The service delivers superior performance, service, and quality to customers.</p> <p style="text-align: justify;">As of now, the number of customers worldwide using Huawei Cloud's AI Compute Service has increased from 321 in 2024 to this year's 1,805. Qihoo 360's Nano Search has used the CloudMatrix384-powered token inference service to process tens of thousands of content generation requests every day.</p> <p style="text-align: justify;">Zhang Ping'an noted that Huawei Cloud will continue to advance software-hardware synergy and architecture innovation, so as to build cloud services that constantly create value for their customers and always keep them up-to-date with the latest technologies. In addition, Huawei Cloud will invest more resources into AI and computing, in order to cultivate the fertile ground on which different industries' applications can run smoother and better. In the AI era, Huawei Cloud is committed to pursuing innovation in AI computing power and technologies, helping every customer become an AI pioneer in their industry.</p> <p><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/张平安2509191_1.jpg" style="display: block; margin-left: auto; margin-right: auto;" width="550"></p> <p style="text-align: center;"><em>Zhang Ping'an, Huawei's Executive Director of the Board and CEO of Huawei Cloud</em></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Tackling challenges head-on: Helping enterprises build their own models</strong></p> <p style="text-align: justify;">Huawei Cloud has been honing its Pangu Models by diving into industry-specific scenarios, and has worked with its customers to tackle their most pressing challenges head-on, reimagining what is possible in these industries. Huawei uses openPangu to provide best practices for AI training and inference, making it easier for developers to efficiently use AI computing power. Zhang Ping'an noted that, at the same time, Huawei is developing the closed-source Pangu Model. Huawei will continually increase investment in Pangu Models, constantly study industry scenarios to better understand customer requirements, and support customers in developing their own industry-specific models, thus accelerating intelligent transformation across industries.</p> <p style="text-align: justify;">To better align the incremental training of models with enterprise scenarios, Huawei Cloud integrates industry know-how into ModelArts, a one-stop AI development platform. ModelArts provides knowledge regarding the optimal data ratios for industry tasks, the optimal configurations for incremental training, and a system for assessing model effectiveness and accuracy.</p> <p style="text-align: justify;">Zhang Ping'an also pointed out that data quality determines model quality. Huawei Cloud uses the DataArts data governance pipeline to automatically extract multi-modal data semantics and build converged knowledge graphs that form a unified knowledge lake for enterprises. This provides comprehensive, rich, and consistent business corpuses for large model pre-training. In addition, Huawei Cloud provides one-stop toolchains to quickly generate high-quality tuning datasets with chains of thought (CoT) for model post-training.</p> <p style="text-align: justify;">China Southern Airlines uses the Pangu Model's cross-modal prediction technology to predict passenger traffic and average ticket prices over an 18-month period. Prediction accuracy reaches 90%, significantly improving the airline's operating revenue. The Chinese Academy of Agricultural Sciences (CAAS) has developed the Agricultural Scientific Discovery Model based on the Pangu foundation model and Pangu Scientific Computing Model. This model is trained using massive amounts of agricultural knowledge and tens of billions of biological data entries, shortening the R&amp;D cycle by more than 50%.</p> <p style="text-align: justify;">Pangu Models have been applied in more than 500 scenarios across over 30 industries. They have played a significant role in fields like government services, finance, manufacturing, healthcare, coal mining, steel, railways, autonomous driving, and meteorology.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Moving beyond terminals: Enabling infinite intelligence evolution on the cloud</strong></p> <p style="text-align: justify;">This year, Huawei Cloud launched the CloudRobo Embodied AI Platform, which deploys complex algorithms and intelligent logic on the cloud to realize more lightweight robots. By taking advantage of the massive computing power and advanced AI models on the cloud, the platform makes robot execution more intelligent. Cloud intelligence overcomes the limitations that have been holding robots back, making them applicable to more scenarios.</p> <p style="text-align: justify;">In the development phase, CloudRobo uses a cloud-based, embodied AI training data generation platform to automatically generate operation trajectories for different poses, textures, and lighting conditions, greatly enriching data diversity and increasing the synthetic data scale by thousands of times. This not only greatly reduces data collection costs, but effectively improves the generalization capability of models. CloudRobo also provides cloud-based environment perception, global planning, and autonomous execution capabilities, achieving a task execution accuracy exceeding 90%. With the support of CloudRobo, the National and Local Co-Built Humanoid Robotics Innovation Center in Shanghai uses data collected from real machines alongside synthetic data to train robots, improving the overall sorting success rates of robots in multiple scenarios to over 90%, which is an industry-leading success rate so far.</p> <p style="text-align: justify;">To build a unified, open, and secure communication channel between robots and the cloud, Huawei Cloud has launched the Robot to Cloud (R2C) Protocol, which realizes the collaborative thinking and efficient execution of AI agents. As of today, national standards are in progress regarding data collection, data generation, and communication interfaces around the R2C Protocol. During his keynote speech, Zhang Ping'an announced that the first 20 partners of the R2C Protocol were officially onboard, including Hualong, Flexiv, Yijiahe, and Avant Robotics. Huawei Cloud works alongside its partners to develop cloud-based integrated robot solutions based on the R2C Protocol in fields such as manufacturing, logistics, inspection, and healthcare.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Kunpeng Cloud Services: Empowering industry innovation with software-hardware synergy and an open ecosystem</strong></p> <p style="text-align: justify;">One of Huawei Cloud's key strategies is to develop Kunpeng-powered ARM cloud services that deliver performance, security, and reliability. In the past year, the number of Kunpeng compute cores on Huawei Cloud has increased from 9 million to 15 million, an increase of 67%. In addition, the Kunpeng platform has been continuously improved to support compatibility with mainstream software, and has also been adapted to more than 25,000 applications. The Kunpeng platform provides solid support for Kunpeng Cloud Services to be applied to even more general-computing scenarios, in addition to transcoding, databases, web applications, and cloud phones.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>GaussDB: Building efficient, reliable data foundations based on supernodes and full pooling</strong></p> <p style="text-align: justify;">Based on general-purpose computing supernodes, Huawei Cloud's GaussDB databases realize the layered pooling of compute, memory, and storage resources, and allow multi-read and multi-write on any node at the same time, breaking free from the restrictions of the traditional architecture where only the primary node supports data read/write. GaussDB databases also support dynamic load scheduling, greatly enhancing the performance of concurrent transaction processing. A GaussDB cluster deployed based on computing supernodes can process 5.4 million transactions per minute, marking a 2.9-fold performance increase over non-supernode clusters.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>All-scenario distributed cloud: Ubiquitous and best possible compute with local access</strong></p> <p style="text-align: justify;">Huawei Cloud has built a distributed cloud solution covering all scenarios, including CloudOcean, CloudSea, CloudLake, and CloudPond. This covers central regions, hotspot areas, and edge sites, bringing consistent Huawei Cloud experience to wherever customers' business is located. Huawei Cloud and FAW-Volkswagen have worked together to successfully implement China's first automotive factory based on the distributed cloud solution. The solution overcomes geographical constraints and realizes comprehensive, in-depth collaboration between the HQ and six factories spread across five cities, enabling seamless data flow and intelligent manufacturing.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Building an easy-to-use, effective, and open platform for developing and running agents</strong></p> <p style="text-align: justify;">AI agents are transforming into a new application paradigm in the AI era. With this in mind, Huawei Cloud has launched Versatile, an enterprise-grade agent platform. It aims to serve as an easy-to-use, effective, and open platform for developing and running AI agents. With this platform, customers will be better equipped to quickly develop AI agents that suit their application scenarios.</p> <p style="text-align: justify;">Many nodes are included in the agent development process, involving highly complex businesses. Based on Versatile, users simply need to prepare and enter business description documents and flowcharts. After simple confirmation, the agent can be generated in two steps, greatly enhancing generation efficiency. Agents automatically invoke numerous programs when they are working, causing severe traffic jitters. Versatile also uses system innovations such as high-performance sandbox and full-memory cache to reduce end-to-end response latency within businesses by more than 40%, enabling agents to run stably and efficiently.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Continuous innovation: Empowering customers to succeed in global markets</strong></p> <p style="text-align: justify;">As industries worldwide rush to embrace digital and intelligent transformation, Huawei Cloud consistently pursues technological innovation as its core driving force and is committed to providing stable, efficient, and secure cloud services for global customers.</p> <p style="text-align: justify;">Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Service, delivered a keynote speech regarding this topic. He highlighted the fact that enterprises are facing numerous complex challenges in the digital intelligence era. With this in mind, Huawei Cloud identifies its core positioning and adheres to this positioning. Huawei Cloud provides a holistic support system featuring "one global cloud infrastructure and two engines – one with data and one with AI" for its global customers.</p> <p style="text-align: justify;">The first of these is KooVerse, a global cloud infrastructure that offers customers elastic cloud services. Second are data enablement services, which efficiently supply data and unleash data value. Third is a one-stop AI development platform that helps enterprises build AI-native applications and innovate with greater ease. Finally, Huawei Cloud brings together the best practices in global digital and intelligent transformation, and provides them through cloud services to help more customers succeed.</p> <p><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/杨友桂250919kn_1.jpg" style="display: block; margin-left: auto; margin-right: auto;" width="550"></p> <p style="text-align: center;"><em>Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Service</em></p> <p style="text-align: justify;">DeFacto, a top fast fashion retailer in Türkiye, faces a traffic surge of more than 10 times during each promotional season, and its traditional IDC architecture struggled to cope with this surge. DeFacto therefore turned to Huawei Cloud's container service, which can automatically scale up 4,000 pods within 30 seconds, allowing the company to easily cope with traffic spikes.</p> <p style="text-align: justify;">Based on Huawei Cloud's DWS, Neogrid, Brazil's largest data intelligence and technology company, migrated and integrated its data that was scattered across multiple platforms, improving data integration efficiency by 40% and data analysis efficiency by 50%. Today, this gives Neogrid's customers the ability to obtain the day's data before the end of work and therefore make business decisions earlier.</p> <p style="text-align: justify;">Based on the powerful generalization capability of Huawei Cloud's Pangu Prediction Model on industrial time-series data, Wanhua Chemical, a global leader in the chemical industry, has accurately captured data on more than 2,000 key devices, allowing them to transform their reactive maintenance model into predictive maintenance. Model prediction accuracy has improved from 70% to 90%, and anomaly identification efficiency has increased by 10%.</p> <p style="text-align: justify;">Huawei worked with partners such as China Unicom to build "One Cloud, One Network, One Platform" for Changan Automobile, driving flexible manufacturing with data. Changan Automobile uses 5G and IoT to connect 12,000 devices, allowing it to interconnect data from different domains. Based on the comprehensive data services of Huawei Cloud, Changan has built a unified data platform. This platform breaks apart the data silos, enables efficient production operations, and shortens order delivery lead time from 21 days to 15 days.</p> <p style="text-align: justify;">In addition to providing end-to-end service capabilities that span the cloud foundation, technology enablement toolchains, and experiences, Huawei Cloud provides tailored consulting and professional services, as well as automation tools and platforms for enterprises' digital and intelligent transformation.</p> <p style="text-align: justify;">Charles Yang expressed that digital and intelligent transformation can never be achieved by one player in a single move. Rather, it requires close, continuous collaboration throughout the entire journey. With its technologies, experiences, and services, Huawei Cloud is ready to work with global enterprises at every step of their transformation journeys.</p> <p style="text-align: justify;">HUAWEI CONNECT 2025 runs from September 18 to 20 at the Shanghai World Expo Exhibition &amp; Convention Center and Shanghai Expo Center. This year, the event explores the theme of "All Intelligence" and delved into AI across three dimensions: strategy, technology, and ecosystems. This involved an in-depth look at Huawei's latest strategic initiatives, and the unveiling of a series of all-new digital and intelligent infrastructure products, scenario-specific solutions for industries, and development tools.</p> <p style="text-align: justify;">In addition to keynote speeches given at the event, Huawei Cloud brought a variety of agendas, such as summit forums and roundtables. Huawei Cloud also works with customers and partners to exhibit a wide array of innovative technologies and practices in fields such as cloud infrastructure, large models, databases, AI agents, and embodied AI, demonstrating how technology can facilitate the digital and intelligent transformation of industries.</p>

<p style="text-align: justify;">On September 18, 2025, during HUAWEI CONNECT 2025, Huawei hosted the Global Hybrid Cloud Data-AI Forum. The theme of the event was "Power Your Leap into Intelligence with Data+AI." At the event, Sean Xiao, President of Huawei Hybrid Cloud, announced the release of Huawei Cloud Stack 8.6. This latest version introduces eight major upgrades across four key areas: cloud foundation, data+AI synergy, application modernization, and streamlined O&amp;M. These advancements are dedicated to helping enterprises accelerate their intelligent transformation through leading technologies and services.</p> <p style="text-align: justify;">Today, AI is revolutionizing productivity across industries, and the synergy between AI and data has become the core driving force behind unprecedented transformation. In his opening remarks, Charles Yang (Yongui), Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Service Department, outlined Huawei Cloud's strategy to build products and competitive advantages around three core pillars: computing power, algorithms, and data. He highlighted key initiatives such as launching the CloudMatrix 384 supernode to meet the growing demand for advanced computing power; leveraging extensive data resources and targeting practical use cases to help customers build tailored vertical models and AI agents; and pioneering innovation across the entire data lifecycle, including exchange, storage, processing, and security, to unlock the full value of data assets. Mr. Yang emphasized Huawei Cloud's commitment to building solid data infrastructure, opening AI models and tools, and advancing capabilities in data governance and trusted data spaces, a mission he stated is central to powering the success of digital and AI transformation for enterprises.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/zhangyougui250918.jpg" width="550"></p> <p style="text-align: center;"><em>Charles Yang (Yongui), Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Service Department</em></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Huawei Cloud Stack 8.6 released with eight major upgrades, helping enterprises build an integrated Data+AI engine</strong></p> <p style="text-align: justify;">Industry pioneers are accelerating their digital and AI transformations. Sean Xiao noted that this shift is occurring on multiple fronts simultaneously, with intelligent upgrades reshaping industries in many profound ways. To power this change, Huawei Cloud Stack is committed to helping enterprises build an integrated Data+AI engine, which is essential for driving transformation.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/xiaofei250918.jpg" width="550"></p> <p style="text-align: center;"><em>Sean Xiao, Vice President of Huawei Cloud and President of Huawei Hybrid Cloud</em></p> <p style="text-align: justify;">At the forum, Sean Xiao officially announced Huawei Cloud Stack 8.6. This new version delivers eight major upgrades in four areas: cloud foundation, data+AI, application modernization, and streamlined O&amp;M.</p> <p style="text-align: justify;"><strong>First, for the cloud foundation</strong>, Huawei Cloud Stack 8.6 is fully compatible with CloudMatrix 384, Huawei Cloud's AI supernode solution. This integration allows enterprises to build robust AI computing centers on-premises. The new platform also significantly improves compute utilization and management, accelerates model deployment, and unifies operations and maintenance for hardware, software, and AI jobs, thereby significantly enhancing compute efficiency.</p> <p style="text-align: justify;">Additionally, Huawei Cloud Stack 8.6 supports larger cluster deployments and more efficient container scheduling, enabling the quick provisioning of up to 50,000 Pods in a single region. The new version also introduces enhanced high availability (HA), including an intra-city dual-AZ solution that delivers a Recovery Point Objective (RPO) of mere seconds and a Recovery Time Objective (RTO) of minutes. This HA architecture allows single-AZ deployments to be seamlessly upgraded to dual-AZ.</p> <p style="text-align: justify;"><strong>Second, for data+AI synergy</strong>, Huawei Cloud Stack 8.6 offers enhanced data and model engineering capabilities. Its data engineering focuses on three key areas: all-domain data labeling and global visibility through a converged data lake; upgrading the intelligent data toolchain; and building a data space hub, all aimed at ensuring secure and manageable data circulation.</p> <p style="text-align: justify;">Model engineering is powered by ModelArts, Huawei Cloud's one-stop AI development platform. The platform supports a range of AI foundation models and workflows, empowering the entire process of incremental training, fine-tuning, reinforcement learning, model evaluation, and deployment. It helps enterprises efficiently build their own custom models.</p> <p style="text-align: justify;"><strong>Third, for application modernization</strong>, the focus is on databases and software development. For databases, Huawei Cloud Stack 8.6&nbsp;has introduced a distributed architecture for GaussDB featuring three-layer pooling, significantly enhancing database performance.&nbsp;It also delivers an&nbsp;enhanced anti-ransomware solution&nbsp;along with a&nbsp;strong-consistency data synchronization solution&nbsp;for enhanced data protection.</p> <p style="text-align: justify;">For software development,&nbsp;CodeArts Doer extends intelligence from coding to all six major phases of R&amp;D:&nbsp;project management, product management, development, building, testing, and deployment, helping boost R&amp;D efficiency.</p> <p style="text-align: justify;"><strong>Finally, for streamlined O&amp;M</strong>, Huawei Cloud Stack 8.6 has introduced significant upgrades, such as faster fault detection and demarcation, and faster fault recovery through self-healing and one-click DR failover.</p> <p style="text-align: justify;">Additionally, Sean Xiao mentioned that Huawei Cloud is also working with customers to jointly develop three AI assistants for knowledge Q&amp;A, data retrieval, and fault diagnosis. These intelligent assistants are designed to help O&amp;M staff boost their efficiency.</p> <p style="text-align: justify;">At the forum, Sean Xiao released a white paper titled "Huawei Hybrid Cloud O&amp;M Modernization – Core Capabilities and Best Practices", which provides insights into enterprise O&amp;M modernization methodologies and major trends.</p> <p style="text-align: justify;"><strong>Joining hands with customers to pioneer new paradigms in digital and AI transformation</strong></p> <p style="text-align: justify;">So far, over 5,500 customers worldwide have chosen Huawei Cloud Stack to power their innovation on cloud. With a deep focus on key industries, Huawei Cloud Stack partners with industry leaders to pioneer digital and AI innovation, setting new benchmarks in many sectors.</p> <p style="text-align: justify;">Zhang Liming, Deputy General Manager of the Operations and Maintenance Center at CHN Energy Information Technology Co., Ltd., shared CHN Energy's journey in driving its AI+Energy strategy. She emphasized that simply stacking data together is not enough to unlock its value. Instead, it requires a systematic transformation involving technology, management, and corporate culture. With the goal of improving data governance efficiency and driving value creation, CHN Energy established a "171" data management capability framework, a "dual-domain leader" data governance model, and a "1+M+N" big data system. To address challenges such as the difficulty of integrating multi-source heterogeneous data from the power generation industry, varying data quality, and a scarcity of high-quality, curated datasets, CHN Energy built a unified, converged data lake powered by Huawei Cloud Stack. This data lake now hosts over 700 TB of data specific to the power generation industry. Through rigorous data engineering, CHN Energy has curated 450 GB of high-quality datasets. This has enabled the evolution from "raw data" to "bare minimum datasets" and then to high-quality, curated datasets, laying the foundation for effective, actionable AI.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/zhangliming250918.jpg" width="550"></p> <p style="text-align: center;"><em>Zhang Liming, Deputy General Manager of the Operations and Maintenance Center at CHN Energy Information Technology Co., Ltd.</em></p> <p style="text-align: justify;">Li Yulong, Deputy Director of the FinTech Division's Architecture Dept at the Postal Savings Bank of China (PSBC), delivered a keynote speech titled "Driving Digital and AI Transformation with Leading AI Compute" at the forum. He talked about the close collaboration between PSBC and Huawei in building a full-stack AI computing infrastructure based on Huawei Cloud Stack. Guided by a "1+2+3" top-level design for AI computing, PSBC has developed one set of data specifications, two major dataset systems—financial and non-financial, and three core platforms—compute management, developer tools, and public services. Together, these provide unified compute resource management and AI platform capabilities for PSBC's own Youzhi Model, supporting the entire bank's model training and AI application development. The results have been significant: these platforms now power over 230 intelligent applications across frontend, mid-end, and backend operations. These include an intelligent customer service for mobile banking, a trading bot, and a loan approval assistant. The trading bot, for instance, handles inter-bank trading inquiries and matchmaking, reducing the average duration of a single inquiry to just 22 seconds—approximately 94% faster than human agents—thereby significantly enhancing trading efficiency.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/liyulong250919.jpg" width="550"></p> <p style="text-align: center;"><em>Li Yulong, Deputy Director of the FinTech Division's Architecture Dept at the Postal Savings Bank of China (PSBC)</em></p> <p style="text-align: justify;">Dai Hu, Director of the Business Management Department of Dongfeng Motor Group, told the audience that Dongfeng Motor built a modernized digital platform on Huawei Cloud Stack, covering everything from application architecture design and cloud-native development, to efficient asset management and circulation, marking a solid transition from essential cloud adoption to application modernization. One key component is the Luban development management platform, built on Huawei Cloud CodeArts. Luban enhances end-to-end R&amp;D efficiency across all phases: requirement management, coding, building, deployment, testing, and performance evaluation. It enables efficient, collaborative coding involving thousands of developers working from different locations on critical vehicle-mounted software, including cockpit systems and intelligent driving solutions.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/daihu250918.jpg" width="550"></p> <p style="text-align: center;"><em>Dai Hu, Director of the Business Management Department of Dongfeng Motor Group</em></p> <p style="text-align: justify;">In his speech, Daniel CHOW Kai-hang, a senior engineer from the Digital Water Office of the Water Supplies Department (WSD) of the Hong Kong SAR Government, highlighted the department's partnership with Huawei Cloud Stack. Through this collaboration, the WSD built the Hong Kong government's first Huawei satellite cloud, which powers a comprehensive smart water management system. This system is critical for securing a reliable water supply for the city's 7.5 million residents. It significantly enhances the operational and maintenance efficiency for Hong Kong's vast network of over 8,400 km of water pipelines and 450 water processing plants. This achievement is now a global benchmark for water supply agencies seeking to improve efficiency and resilience.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/danniel25091911.jpg" width="550"></p> <p style="text-align: center;"><em>Daniel CHOW Kai-hang, a senior engineer from the Digital Water Office of the Water Supplies Department (WSD) of the Hong Kong SAR Government</em></p> <p style="text-align: justify;">Near the end of the forum, the 2025 Global "Dive into Cloud Polaris" Awards Ceremony honored global customers who have made outstanding contributions to advancing Huawei hybrid cloud's technical competitiveness, innovation, and exploration of new business models. Winners of this award represented a diverse range of sectors, including energy, healthcare, industrial manufacturing, transportation, government, and finance.</p> <p style="text-align: justify;">Looking forward, Huawei Cloud Stack is dedicated to building leading cloud infrastructure by continuously enhancing its competitiveness in cloud platforms and services tailored to industry needs. Its mission is always to help enterprises build, utilize, and govern the cloud with confidence.</p>

<p style="text-align: justify;">[Shanghai, China, September 17, 2025] At the 2025 Global Public Sector Cloud &amp; AI Summit, Huawei officially released the "R.I.S.E " National Government Cloud reference architecture. Built on a robust foundation of cloud and AI, the architecture establishes secure and reliable platforms for cloud infrastructure, data, AI, and digital identity. It fosters an open and vibrant ecosystem, driving the localized management of key technologies such as national artificial intelligence. This facilitates the delivery of higher-quality public services and governance, injecting strong momentum into the nation's intelligent transformation.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Huawei Solutions Target Pain Points in Public Services</strong></p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/李俊风250918.jpg" width="550"></p> <p style="text-align: center;"><em>Li Junfeng (Wind), Vice President of Huawei and CEO of the Global Public Sector BU</em></p> <p style="text-align: justify;">In his speech, Li Junfeng (Wind), Vice President of Huawei and CEO of the Global Public Sector BU, said that more than 80 countries have launched cloud-first initiatives or AI strategies. Driven by cloud and AI, Huawei has built a centralized, efficient, and secure cloud foundation that supports the intelligent transformation of government and public services, while supporting the aggregation, processing, and value extraction of data.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/单志广250918.jpg" width="550"></p> <p style="text-align: center;"><em>Shan Zhiguang, State Information Center Director, Informatization and Industry Development Dept</em></p> <p style="text-align: justify;">Shan Zhiguang, State Information Center Director, Informatization and Industry Development Dept, talked about global trends and China's practices. He emphasized that China's active efforts in advancing a national ICT-powered transformation and building a smart government are offering unique and valuable experience to the world.</p> <p style="text-align: justify;">Representatives from DPO (Hong Kong), CCK (Tunisia), Ankabut (UAE), and AIPMC (Huadu, Guangdong) also delivered speeches at the event, sharing insights on how cloud and AI are fueling upgrades across public services, education, and industry intelligence. By integrating innovative technologies with sector-specific needs, they are helping to shape repeatable and sustainable transformation paths for governments and public sectors worldwide.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>"R.I.S.E" Architecture: Powering Key Public Sector Scenarios</strong></p> <p style="text-align: justify;">Hong-Eng Koh, Global Chief Public Services Industry Scientist of Huawei, pointed out that cloud and AI have become the foundation for national digital transformation. A unified national cloud allows for seamless data exchange, boosting government efficiency and improving service quality.</p> <p><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20259/高宏荣250918.jpg" style="display: block; margin-left: auto; margin-right: auto;" width="550"></p> <p style="text-align: center;"><em>Hong-Eng Koh, Global Chief Public Services Industry Scientist of Huawei, released the reference architecture for National Government Cloud</em></p> <p style="text-align: justify;">Drawing on deep insights into national strategies and industry challenges, as well as Huawei's experience from 800+-government cloud projects worldwide, Mr. Koh officially unveiled the "R.I.S.E" （Resilient &amp; Reliable Infrastructure, Innovative &amp; AI ready, Self-reliant Security, Enriched Ecosystem）reference architecture for National Government Cloud. Centered on an innovative distributed cloud framework, the architecture delivers support for core public service scenarios. This architecture involves four solutions:</p> <p style="text-align: justify;"><strong>1. Resilient &amp; Reliable Infrastructure</strong>: The National Government Cloud provides governments with a resilient and reliable cloud infrastructure. Through a multi-site disaster recovery architecture, a 1+7 layered security protection system, and deterministic O&amp;M, it ensures data security and the stable operation of critical applications.</p> <p style="text-align: justify;"><strong>2. Secure &amp; Sovereign</strong>: To address the challenges of national digital secure &amp; sovereign, Huawei offers multiple deployment models—including public cloud, full-stack dedicated cloud, and Huawei Cloud Stack. Through a unified architecture, synchronized technologies, and a shared ecosystem, these solutions support secure and reliable data storage, flow, and utilization.</p> <p style="text-align: justify;"><strong>3. Innovative &amp; AI ready</strong>: The architecture builds three effectiveness platforms for applications, data, and AI to achieve efficient supply and use of high-quality data. Alongside foundation models and training, Huawei provides government-specific intelligent agents and digital IDs as core capabilities of the digital public platform layer. These support upper-layer government applications, driving simultaneous improvements in public service experience and governance efficiency.</p> <p style="text-align: justify;"><strong>4. Enriched Ecosystem: </strong>Huawei has partnered with over 100 ecosystem players across government and public sectors, helping countries accelerate the digital and intelligent transformation of public services. In the meantime, Huawei is building future-ready talent pipelines across nine strategic domains (e.g. ICT, AI, and big data), driving sustainable digital and intelligent growth.</p> <p style="text-align: justify;">Huawei continues to invest in innovation, committed to delivering comprehensive solutions that address the critical needs of digital and intelligent transformation in the public sector. Leveraging the powerful synergy of cloud and AI, Huawei helps tackle key challenges and drive service model innovation. The release of the National Government Cloud reference architecture marks the beginning of a new era of "intelligent collaboration" in public service delivery.</p> <p style="text-align: justify;">Looking ahead, Huawei will continue to deepen cloud-AI integration, helping governments worldwide to build more efficient, intelligent, and people-centric modern governance systems—jointly driving high-quality development in the digital and intelligent era.</p>

<p style="text-align: justify;">Recently, the prestigious international database conference, VLDB 2025, was held in London, UK. The event brought together leading experts and scholars from around the world to share cutting-edge research findings and discuss how databases will evolve in the future. Huawei had 18 papers accepted and delivered impressive presentations at multiple sessions.</p> <p style="text-align: justify;">Wang Lei, Director of Huawei Gauss Laboratory, delivered a keynote titled <em>Unified AI-Native &amp; Cloud-Native Database Platform for the Data + AI Era</em>. He highlighted GaussDB's innovative integration with emerging technologies like AI and cloud native. Wang noted that GaussDB has been harnessing these technologies to develop an intelligent O&amp;M system with automated monitoring, diagnosis, and tuning. The platform has introduced vector databases and smart Q&amp;A systems, leveraging cloud native technologies to implement a transparent multi-write architecture and intelligent routing. Looking ahead, GaussDB aims to create an integrated data platform to help enterprises develop integrated digital and intelligent applications, empowering digital and intelligent transformation across industries.</p> <p style="text-align: justify;">Among the selected papers, two standouts from GaussDB were <em>GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications</em> and <em>GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB</em>.</p> <p style="text-align: justify;">These papers delve into innovation in vector databases and query rewriting, both of which are key database technologies.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Paper 1: <em>GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications</em></strong></p> <p style="text-align: justify;">Vector databases have become essential tools for addressing the limitations of large language models (LLMs) and have seen widespread adoption. However, existing vector databases either cater only to niche use cases requiring low-latency in-memory search, or trade off performance for comprehensive data management.</p> <p style="text-align: justify;">To address these limitations, this paper proposed GaussDB-Vector, a high-performance, real-time persistent vector database, that excels in low-latency scalable search, real-time INSERTs and DELETEs, high availability, large-scale distributed search, and hybrid scalar-vector filtered search. Specifically designed for graph-based vector indexing, these features leverage an innovative storage architecture optimized for I/O operations, adapting to various dataset sizes and dimensions. GaussDB-Vector also provides novel buffering strategies to further minimize I/O overhead. In addition, to further accelerate queries, GaussDB-Vector supports product quantization, parallel search, and hardware acceleration via SIMD, GPUs, and NPUs. Experimental results show that GaussDB-Vector outperforms competitive baselines by a factor of 1 to 5.</p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><strong>Paper 2: <em>GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB</em></strong></p> <p style="text-align: justify;">Rewriting complex queries faster is critical for database systems. GaussDB has been experiencing limited extensibility of its existing query rewriter. This doesn't just make it hard to identify generic, broadly applicable rewrites. It is also quite difficult to program them into the system.</p> <p style="text-align: justify;">This paper presents GRewriter, GaussDB's new extensible query rewriter. GRewriter sits atop the existing optimizer stack to explore useful rewrites, allowing a variety of rules to work together and be selected on a per-query basis. A new rule language, G-DSL, is used to express rewrite rules so that the rewrite engine is not coupled with specific rules. To improve rewrite efficiency, a new rule index structure and a rewrite history cache have been introduced.</p> <p style="text-align: justify;">Rules in GRewriter are produced by an offline rule generator. With an innovative enumeration technology and a new equivalence theorem, our rule generator can efficiently identify formally verified rules that are much more expressive than prior research prototypes. For operational convenience, GRewriter also supports manual rule authoring and interactive rule management through familiar SQL interfaces.</p> <p style="text-align: justify;">GRewriter has been integrated into GaussDB and is gradually being rolled out to customers. GRewriter equips GaussDB with over 100 rules with negligible performance overhead (less than 1%). These new rewrite rules have enhanced query performance for two key applications, an ERP system and a banking transaction system, reducing production query latency by 99.9% from 26 seconds to just 17 milliseconds.</p> <p style="text-align: justify;">During the conference, the first Industrial Data Systems Research (IDSR) Workshop was successfully held. It was organized by the Technical University of Crete, Athena Research Center, Tsinghua University, Microsoft Research, and Huawei Cloud and sponsored by Huawei. The workshop gathered leading industry researchers and practitioners to discuss the latest trends, research findings, current challenges, and future research directions in the field of industrial data systems.</p> <p style="text-align: justify;">Over the years, GaussDB has steadily increased its influence in the global academic and industrial communities through comprehensive collaboration between industry, academic, and research institutions; and continuous international engagement. Its presence at this event drew significant attention and discussion. Moving forward, Huawei will continue to join hands with global partners to upgrade database technologies and cultivate a robust industrial ecosystem, laying a solid foundation for the digital and intelligent transformation of businesses.</p>

<p style="text-align: justify;">[Kuala Lumpur, Malaysia, August 12, 2025] The ASEAN AI Malaysia Summit 2025 took place today. Aka Dai, Director of Huawei Cloud Marketing, gave a keynote speech titled "Accelerate Intelligence, Ignite Smart ASEAN." He shared insights on how Huawei Cloud collaborates with ASEAN nations to capitalize on AI opportunities, boost growth, enhance competitiveness, and improve social welfare through cloud and AI technologies.</p> <p style="text-align: center;"><img alt="" height="auto" src="https://res-static.hc-cdn.cn/cloudbu-site/intl/en-us/unclassification/20258/dailibin250812_1.jpg" width="550"></p> <p style="text-align: center;"><em>Aka Dai, Director of Huawei Cloud Marketing</em></p> <p style="text-align: justify;">Cloud and AI are now driving national development and enterprise innovation. At this pivotal moment, ASEAN, with its vibrant energy and vision, is embracing these technologies to build global AI leadership. Despite their diverse approaches, member countries share a common goal: to create a forward-thinking innovation hub.</p> <p style="text-align: justify;">"This region is not just a dynamic growth engine. It is a land of pioneers, eager for innovation," said Aka Dai. Huawei has operated in ASEAN for 26 years, and Huawei Cloud has served the region for 7 years. Committed to the principle "In ASEAN, For ASEAN," Huawei Cloud has brought significant local investments and technological advancements. As the fastest-growing cloud provider in ASEAN, Huawei Cloud has seen a 30-fold increase over five years, with annual market growth surpassing 40%, serving numerous public services, financial institutions, carriers, and internet companies.</p> <p style="text-align: justify;"><strong>In industry applications,</strong> Huawei Cloud follows the "AI for Industries" strategy. Collaborating with customers on real-world projects, Huawei's team of engineers and PhDs has built deep industry knowledge, enhancing productivity worldwide. From R&amp;D and production to supply chain, sales, customer service, and operations—Huawei Cloud has explored over 500 use cases across 30 sectors. In ASEAN, Huawei Cloud has successfully integrated AI into public services, finance, telecommunications, and transportation.</p> <p style="text-align: justify;">In terms of <strong>technological innovation</strong>, Huawei Cloud significantly lowers the barrier to adopting AI through systematic innovation, making it easier for businesses to harness its power. It offers three core capabilities. First, a robust global network spanning 34 Regions and 101 availability zones (AZs), ensuring high scalability, low latency, and exceptional reliability. In ASEAN alone, Huawei Cloud operates 5 Regions and 17 AZs, offering top-notch network performance for local users. Second, Huawei Cloud features an open model ecosystem, supporting over 160 leading open-source models. Third, Huawei Cloud's Pangu models enable companies to develop cutting-edge industry solutions using a full-range, multi-modal, and innovative three-layer decoupling architecture.</p> <p style="text-align: justify;">When it comes to fostering a<strong> thriving ecosystem</strong>, Huawei Cloud actively promotes the "Cloud for Good" initiative, leveraging cloud and AI to benefit humanity, nature, and sustainable development. In terms of talent development, Huawei has partnered with 49 institutions in Malaysia since 2021 to train over 54,000 individuals and aims to train 30,000 AI professionals in the next three years.</p> <p style="text-align: justify;">Huawei Cloud is dedicated to being a long-term partner in the dynamic, agile, and inclusive ASEAN region. We collaborate with local businesses to drive continuous innovation, aiming to empower AI pioneers in industries</p>