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].

4月11日，在华为云生态大会2025上，华为云发布了全新升级的昇腾AI云服务、软件开发生产线 CodeArts、数字内容生产线MetaStudio、云原生安全体系、数据治理生产线DataArts、GaussDB数据库等 产品及解决方案。 "华为云将在打造对等多元算力基础设施、做好昇腾AI云服务支持百模千态、以核心软件与工具链重塑 应用、做好智能世界'黑土地'四大方面持续压强投入，解决AI落地时的算力、幻觉、数据、安全等复杂 挑战，加速千行万业智能升级。"华为公司副总裁、中国云业务部部长张修征表示。 当前，大模型正向多模态、长序列、MoE、深度思考演进，模型规模走向万亿甚至十万亿参数，算力、 网络和存力需求激增，AI基础设施体系面临重塑。 华为云EI服务产品部部长尤鹏指出，为了应对AI大模型时代"三高一低"挑战，华为云通过重构AI基础设 施，聚焦算力底座、资源调度、推理服务及集群可靠四个方面全面升级昇腾AI云服务。算力底座上， 华为云正式推出基于新型高速总线架构CloudMatrix 384超节点集群的新一代昇腾AI云服务，可提供大规 模、高性能、稳定可靠的AI算力集群。 大模型催生海量数据需求，但也让数据管理 ...

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]