Core Viewpoint - Huawei Cloud Stack aims to provide a hybrid cloud solution that better understands the needs of government and enterprise users in the era of intelligence, focusing on AI integration and data utilization [1][3]. Group 1: Huawei Cloud Stack Features - Huawei Cloud Stack will become the first hybrid cloud to adapt to CloudMatrix 384 super nodes, enabling enterprise customers to have their own cloud super nodes locally, enhancing AI computing power for intelligent transitions [3]. - Currently, Huawei Cloud Stack offers over 120 cloud services and more than 50 scenario-based solutions, maintaining the leading market share in the hybrid cloud sector across government, finance, and manufacturing for several consecutive years [3][4]. Group 2: User Segmentation and Solutions - Huawei Cloud Stack recognizes that government and enterprise users are not a monolithic group but can be categorized into four distinct roles: data center engineers, data engineers, AI algorithm model application engineers, and application development engineers [3][4]. - The platform supports users throughout the entire cloud lifecycle, from building to managing cloud resources, enabling efficient resource allocation, data governance, model training, and application development [4]. Group 3: Case Studies - In finance, Huawei Cloud Stack helped a state-owned bank establish a unified computing power platform, allowing data center engineers to deploy 106 DeepSeek R1 instances in just two days, improving efficiency by 70% compared to traditional bare-metal deployments [4][5]. - In manufacturing, Huawei Cloud collaborated with XCMG to create a robust big data platform, enhancing data analysis efficiency and enabling value extraction from operational data of construction machinery [4][5]. - In the steel industry, Xianggang utilized Huawei Cloud Stack to develop a one-stop AI development platform, achieving quality improvement and cost reduction through the deployment of a steel model across over 30 scenarios [5]. - In the energy sector, CNOOC implemented CodeArts to develop a digital platform, reducing development time by 30% and streamlining the deployment of intelligent oilfield management systems from one week to one day [5].

Core Insights - Huawei Cloud has launched upgraded AI cloud services and solutions, focusing on building a robust multi-modal computing infrastructure to address challenges in AI deployment [1][2] - The company aims to enhance its AI cloud services by restructuring its AI infrastructure, focusing on computing foundation, resource scheduling, inference services, and cluster reliability [1][2] - Huawei Cloud's GaussDB has improved its distributed performance by 50%, offering PB-level data management capabilities and enhanced security features [2] Group 1 - Huawei Cloud introduced new products including Ascend AI cloud services, CodeArts software development line, MetaStudio digital content production line, and GaussDB database [1] - The company is addressing the challenges of the AI model era, which include high demand for computing power and data management, by upgrading its AI cloud services [1][2] - The Ascend AI cloud service is now compatible with over 160 mainstream large models and serves more than 600 enterprises [3] Group 2 - GaussDB's enhancements include a 10x increase in online expansion speed and the introduction of GaussRecorder for database security [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data integrity and compliance [2] - The CodeArts development line has improved end-to-end development efficiency by 30%, while MetaStudio has delivered over 10,000 digital personas through a simplified integration process [2]

Core Insights - Huawei Cloud has launched a series of upgraded products and solutions including Ascend AI Cloud Services, CodeArts, MetaStudio, DataArts, and GaussDB to enhance its cloud offerings and address the challenges of AI implementation [1] Group 1: AI Infrastructure and Services - Huawei Cloud introduced the new generation of Ascend AI Cloud Services based on the CloudMatrix384 super-node cluster, providing large-scale, high-performance, and reliable AI computing power to meet complex model training and inference needs [2] - The GaussDB database has been upgraded to enhance its distributed performance by 50%, offering PB-level data management capabilities and a tenfold increase in online expansion speed [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data security and compliance, launching four major security solutions including an end-to-end large model security solution [2] Group 2: Software Development and Support - The CodeArts toolchain has been enhanced to improve end-to-end development efficiency by 30%, covering various intelligent scenarios such as code generation, inspection, and testing [3] - Huawei Cloud supports Sina Weibo's product upgrades and innovations, providing robust elastic scaling capabilities during peak traffic periods and improving cluster utilization by 40% [3] - The Flexus enterprise large model application solution has been introduced to lower the barriers for small and medium-sized enterprises to utilize large models, significantly enhancing reliability and user experience [3]