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华为云CEO周跃峰:携手开发者,在“黑土地”上打造行业AI“梦工厂”
Sou Hu Cai Jing· 2025-12-28 03:49
周跃峰强调,华为云的核心定位是"以肥沃黑土地,赋能行业AI"。"云不仅是商业平台,更是开放繁荣的社区。" 他提出,华为云将构建多个垂直领域的 开发者 "作坊"(社区),如具身智能开发社区,开放工具、软件与仿真设施,降低机器人开发门槛;还将打造 "魔擎社区",依托华为与瑞金医院的病理 AI合作经验,推动医疗AI走向临床落地,让更多医院和医生能开发专属医疗解决方案。此外,商专车自动驾驶、农业育种、科研等领域的社区也在规划 中。 为了实现行业AI"梦工厂"的目标,华为云将会把更多资源、人力都集中到AI赛道当中。例如,华为云将发挥华为在计算、网络等硬件方面的优势,搭建强 大的国产化基础设施,为开发者提供"算力黑土地";此外,将在华为云上提供更加开放的ModelArts,支持各种各样的模型和第三方模型,也会推出更加 智能的CodeArts编程工具、以及智能体和平台等,为开发者提供坚实而丰沃的创新土壤。 同时,华为云也将以更加开放的心态,联合学校、个人、企业开发者共建生态。迄今为止,华为云开发者规模已超过1000万,伙伴数量超5万,并通过"沃 土云创"等激励措施以及CodeLabs、培训、大赛等多元方式,持续赋能开发者成 ...
华为云CEO周跃峰:携手开发者打造行业AI“梦工厂”,赋能千行万业AI落地
Sou Hu Cai Jing· 2025-12-27 14:05
为了实现行业AI"梦工厂"的目标,华为云将会把更多资源、人力都集中到AI赛道当中。例如,华为云将发挥华为在计算、网络等硬件方面的优势,搭建强大 的国产化基础设施,为开发者提供"算力黑土地";此外,将在华为云上提供更加开放的ModelArts,支持各种各样的模型和第三方模型,也会推出更加智能 的CodeArts编程工具,以及智能体和平台等,为开发者提供坚实而丰沃的创新土壤。 同时,华为云也将以更加开放的心态,联合学校、个人、企业开发者共建生态。迄今为止,华为云开发者规模已超过1000万,伙伴数量超5万,并通过"沃土 云创"等激励措施以及CodeLabs、培训、大赛等多元方式,持续赋能开发者成长。 针对开发者关心的未来发展方向,周跃峰建议聚焦两大领域:一是利用 "模型+Agent" 复现人类经验知识;二是通过 AI 优化复杂决策体系,如供应链调度、 生产制造等场景。对于具身智能赛道的初创企业,华为云将开放算力、仿真工具与模型资源,帮助企业降低基础设施投入成本,集中精力突破算法进化与 "算法-身体" 融合的核心难题。 华为高级副总裁、华为云CEO周跃峰 周跃峰强调,华为云的核心定位是聚焦千行万业的实际需求。"云不仅 ...
华为云肖霏:助力政企构建数据+AI双引擎,加速数智跃迁
Xin Lang Cai Jing· 2025-09-20 05:35
Core Insights - Huawei's Global Hybrid Cloud Integration Summit highlighted the theme of "Data + AI Dual Engine Driving Accelerated Digital Transformation for Government and Enterprises" [1] - The launch of Huawei Cloud Stack 8.6 focuses on continuous innovation in four areas: cloud foundation, data + AI, application modernization, and integrated operations [1][5] Group 1: Digital Transformation and AI Integration - The focus of enterprises has shifted from "computing power construction anxiety" to "technology application pressure" in AI integration [3] - Non-structured data utilization has increased by 60% annually over the past two years, accelerating the release of data value for intelligent upgrades [3] - The "Green Beautiful Channel" traffic model developed by Yunnan Jiaotong improved accuracy by 20% compared to general models and enhanced toll station traffic prediction accuracy by approximately 10% [3][4] Group 2: Industrial Applications of AI - AI capabilities are being applied in complex industrial processes, such as steel production, to enhance efficiency [4] - China Aluminum Corporation collaborated with Huawei to implement AI across eight business areas, achieving full-process intelligence from perception to decision-making [4] Group 3: Financial Sector Innovations - Huawei Cloud is exploring multi-Agent collaboration solutions to enhance service experience and efficiency in the financial sector [5] - The integration of various applications aims to address challenges such as system integration difficulties and long development cycles [5] Group 4: Huawei Cloud Stack 8.6 Upgrades - Huawei Cloud Stack 8.6 introduces significant enhancements in cloud foundation, data + AI capabilities, application modernization, and integrated operations [5][7] - The new version optimizes computing power usage and management, reducing model deployment time and enhancing operational efficiency [7] - Data engineering capabilities have been improved to ensure data trustworthiness and manageability during circulation [8] Group 5: Application Modernization and Development Tools - The introduction of GaussDB's three-tier pooled distributed architecture significantly boosts database performance and security [8] - CodeArts Doer enhances the entire development process, with over 6,000 developers at Postal Savings Bank utilizing it to generate over 290,000 lines of code [8] Group 6: Future Directions and Client Engagement - Huawei Cloud aims to enhance operational efficiency through AI-driven tools for knowledge Q&A, data retrieval, and fault diagnosis [9] - The company has gained the trust of over 5,500 global clients and is committed to continuous investment in cloud platform and service competitiveness [9]