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]