工业和信息化部新闻发言人、信息通信发展司司长谢存在2026年1月21日举行的国新办新闻发布会上介绍，在 算力设施方面，我国已建成万卡智算集群42个，智能算力规模超过1590 EFLOPS，位居全球前列，有力支撑我国 人工智能产业快速发展。 2025年11月2日拍摄的安徽省宿州市算力产业园淮海人工智能计算中心服务器。新华社记者 黄博涵 摄 EFLOPS是什么意思？ 先了解一下算力，即对数据的处理能力。它看不见、摸不着，却时刻影响着你我的生活，比如智能音箱响应 用户指令、电子支付实时清算、在线购物个性化推荐、电影的特效处理等，背后都有算力支撑。 FLOPS，指的是每秒浮点运算次数，是用来衡量设备计算能力的指标。 在此基础上，还有MFLOPS（百万次）、GFLOPS（十亿次）、TFLOPS（万亿次）、PFLOPS（千万亿 次）、EFLOPS（百亿亿次）等，数值越大，计算能力越强，命名规则遵循国际标准。 超级计算机"前沿"（Frontier），峰值性能突破1EFLOPS，即每秒能完成1百亿亿次运算。以普通人按计算器 速度（1次/秒）计算，"前沿"1秒的运算量，需要80亿人持续按键近40年才能完成。 工业和信息化部日前 ...

Group 1 - The core message emphasizes the commitment of the industrial and information sectors to achieve new industrialization, with a focus on quality improvement and reasonable growth in the industrial economy, achieving a year-on-year industrial added value growth of 5.9% in 2025 [1] - The manufacturing sector is expected to maintain its position as the world's largest for 16 consecutive years, with the manufacturing value added as a stable proportion of GDP [1] - The telecommunications business volume is projected to grow by 9.1% year-on-year, contributing over 40% to economic growth, thus playing a stabilizing role in the economy [1] Group 2 - By 2025, the number of artificial intelligence companies in China is expected to exceed 6,000, with the core industry scale anticipated to surpass 1.2 trillion yuan [1] - AI applications are increasingly integrated into key industries such as steel, non-ferrous metals, electricity, and telecommunications, enhancing product development, quality inspection, and customer service [1] - The digital industry is projected to generate approximately 38.3 trillion yuan in revenue and 3.1 trillion yuan in profit by the end of 2025, reflecting cumulative growth of about 39.5% and 48.4% respectively since the end of the 13th Five-Year Plan [2]

Core Insights - The Chinese government is committed to achieving new industrialization, with confidence in maintaining a stable and positive industrial economy through 2026 [1] Group 1: Industrial and Economic Performance - In 2025, the industrial added value above designated size is expected to grow by 5.9% year-on-year, with the manufacturing added value maintaining a stable share of GDP [1] - The contribution of the industrial and information sectors to economic growth exceeds 40%, acting as a stabilizing force for the economy [1] Group 2: Artificial Intelligence Development - By 2025, the number of artificial intelligence companies in China is projected to exceed 6,000, with the core industry scale expected to surpass 1.2 trillion yuan [1] - AI applications are increasingly integrated into key industries such as steel, non-ferrous metals, electricity, and telecommunications, enhancing product development, quality inspection, and customer service [1] Group 3: Digital Industry Growth - By the end of 2025, the revenue of China's digital industry is estimated to reach approximately 38.3 trillion yuan, with profits of 3.1 trillion yuan, reflecting cumulative growth of about 39.5% and 48.4% respectively since the end of the 13th Five-Year Plan [2] - The government aims to accelerate technological innovation and application empowerment in the digital industry, while enhancing standard leadership and ecological construction [2] Group 4: Infrastructure Development - China has established 4.838 million 5G base stations, covering all towns and 95% of administrative villages, with 5G networks extending to over 330 cities [2] - The intelligent computing power scale has exceeded 1,590 EFLOPS, positioning China among the global leaders in supporting rapid AI industry development [2]

"目前，人工智能已渗透领航工厂70%以上的业务场景。"1月21日，工业和信息化部（以下简称"工信 部"）新闻发言人、信息通信发展司司长谢存表示，工信部将支持领军企业探索未来制造模式，持续培 育一批领航工厂，引领产业整体变革。推动领航工厂成为技术、标准、规则的策源地，并加速向海外复 制推广，为全球制造业数字化智能化转型提供中国智慧。另一方面，我国6G研发已完成第一阶段技术 试验，形成了超300项关键技术储备，近期已经启动第二阶段6G技术试验。 累计建成数万家智能工厂 工信部副部长张云明表示，回顾2025年工业和信息化发展，"进"的步伐持续加快。其中，累计建成3.5 万余家基础级、8200余家先进级、500余家卓越级智能工厂，培育15家领航级智能工厂。 据了解，首批15家领航工厂已在2025世界智能制造大会上集中亮相。同时，在领航工厂的相关培育工作 方面取得进展。其中，在制造模式方面进行了有益探索，为各自行业树立转型标杆。例如，有的汽车工 厂实现多车型柔性混流生产、有的石化工厂依托数字孪生实现自主运行等，这些变革带动生产效率平均 提升29%，产品不良率降低47%；在制造技术方面实现了创新突破，人工智能已渗透领航工 ...