Core Insights - The AI industry is rapidly evolving, with a consensus forming that by 2026, the performance iteration of large models will stabilize, allowing companies to focus on productization of large models [1] - Lenovo has launched the "AI Factory" solution and new high-end AI servers, aiming to inject strong momentum into China's AI industry for high-quality development [3][10] Industry Developments - Lenovo's "AI Factory" solution aims to transform traditional data centers into efficient AI factories, utilizing customer data as raw materials to produce intelligent models and services [10][11] - The launch of Lenovo's "万全异构智算平台4.0" addresses the diverse computing power needs in China, enabling efficient collaboration among different brands of CPUs and GPUs [6][12] Technological Innovations - The new platform has achieved significant performance improvements, including a 35% reduction in pre-training time and a 50% reduction in post-training time, along with a 60% increase in bandwidth utilization for inference scenarios [6] - Lenovo's WA8080a G5 server features a 10U chassis design to support GPUs with power consumption exceeding 1000 watts, addressing the rapid evolution of GPU technology [9] Strategic Positioning - Lenovo's approach emphasizes a complete ecosystem, integrating hardware and software to overcome the challenges of heterogeneous computing power in China [12] - The company aims to provide a comprehensive service system that addresses various client needs, from data governance to AI production management [11]

Core Insights - The article discusses the transformative impact of AI on various industries, emphasizing the shift towards a new paradigm characterized by "large models + large computing power + large data" as the foundation for AI 2.0 development [1][9] - It highlights the rapid growth of China's AI server market, which is expected to more than double by mid-2025 compared to the same period in 2024, driven by increasing demand [3][9] - The article outlines the evolution of large models, focusing on their deepening, broadening, and lengthening capabilities, which are essential for advancing AI technology [11][12] Industry Trends - The AI infrastructure development is entering a three-phase cycle: short-term acceleration, medium-term expansion, and long-term structural upgrades, necessitating a shift from merely stacking hardware to providing systematic services [10][12] - The penetration rate of AI in core products has increased from 5% in 2018 to an estimated 60% by next year, indicating a significant market evolution [12] - The global AI competition landscape is changing, with companies needing to balance between international and domestic GPU resources amid geopolitical tensions [5][12] Company Developments - Lenovo has introduced the "AI Factory" solution, aiming to streamline AI application development and deployment processes, transforming complex tasks into a standardized, efficient production line [15][16] - The Lenovo Wanquan Heterogeneous Intelligent Computing Platform 4.0 has been upgraded to support various computing scenarios, achieving a throughput of over 12,000 Tokens/s for local model deployment [16] - Lenovo's approach emphasizes the importance of a robust foundational support system to facilitate the transition from traditional computing centers to AI factories, helping businesses reduce initial barriers and operational costs [16]

转自：新华财经 联想集团此次推出的"AI工厂"解决方案，旨在构建出一套可管理、可复制且支持持续运营的标准化体系，重塑AI应用的开发与部署流程，将原本复杂且孤立 的AI开发任务转变为一条标准、高效的现代化"AI生产线"。陈振宽表示，从场景定义到将客户数据采集作为原材料，经过智能体开发平台与AI训练引擎的 深度处理，"联想AI工厂"解决方案最终能够生产出可交付的智能体、垂域模型、推理服务等成熟"产品"。 要让"AI工厂"高效运转，离不开坚实可靠的底层基础设施作为承载。作为"AI工厂"的算力基石，发布会上发布的联想万全异构智算平台4.0，迎来四大技术 场景的全新升级。 首先，在大模型预训练场景，通过长序列并行优化，模型训练时间可缩短35%；其次，在大模型后训练场景，计算引擎优化、小样本强化学习、训练自动并 行可使训练时间缩短50%；第三，在推理场景，ROCE网络负载均衡优化，带宽利用率可提升60%，通信原语性能提升30%，大模型推理性能提升30%；第 四，在超智融合计算场景，可支持国际和国内硬件生态，完成从底层架构到算子的全面优化，同时新增超16个制造业应用的作业模板和脚本，实现超算、智 算高效融合。 新华财经北京 ...

坚实的算力基础设施是AI工厂高效运转的核心支撑。此次发布的联想万全异构智算平台4.0，通过九大差异化创新实现四大技术场景升级：大模型预训练时 间缩短35%，后训练时间缩短50%，推理场景带宽利用率提升60%、性能提升30%，超智融合计算场景新增16个制造业应用模板。该平台已在多个重点场景 落地见效，在国家级智算集群中实现千卡训练MFU从30%提升至60%，企业本地部署场景中DeepSeek R1模型极限吞吐量突破12000 Tokens/s，为高校科研提 供稳定高效的HPC/AI融合算力支持。 【环球网科技综合报道】以"异构智算 本地引擎"为主题的2025联想异构智算产业联盟高峰论坛暨AI算力基础设施新品发布会近日在北京举行。会上，联想 集团正式推出"AI工厂"解决方案，同步发布新一代高端大模型训练AI服务器、万全异构智算平台4.0，并联合产业伙伴发布业内首个模型训推服务标准验证 成果，多项重磅举措为我国人工智能产业高质量发展注入强劲动能。 当前，"人工智能+"行动连续两年写入政府工作报告，多部门密集出台配套政策，推动人工智能与各行业深度融合。在技术突破、政策支持、供应升级的多 重驱动下，中国AI市场正处于" ...

此次发布的这四大核心成果协同构建起 "硬件支撑 + 平台优化 + 服务落地 + 标准引领" 的AI服务生态， 标志着联想已经告别传统硬件制造商的 PE(市盈率)估值束缚，全面迈向科技服务的 PS(市销率)估值新 赛道。 2025 年 12 月 5 日，联想异构智算高峰论坛暨新品发布会落下帷幕。联想中国基础设施业务(以下简 称"联想ISG中国")一口气发布了 "AI 工厂" 解决方案、首款高端大模型训练 AI 服务器联想问天WA8080a G5、万全异构智算平台 4.0 及业内首个训推服务标准等四项核心成果。 "从快速爆发、理性选择，再到重新崛起，我们共同经历了生成式AI带来的技术突破，"发布会上，联想 集团副总裁、中国基础设施业务群总经理陈振宽表示，"此刻，我们正在见证AI以更自主、更智能的方 式成为真正的智能应用专家。面对本地独特的发展现状，多元异构的算力供给、芯模生态的高度协同以 及模型应用的彼此强化，都在成为构筑中国独特AI生态的核心力量。" 值得关注的是，过去两年半，联想中国基础设施业务总收入增长175%，服务器业务稳居中国市场第一 阵营，并成为中国市场增长最快的AI基础设施厂商之一。 软硬结合的AI ...

"工厂"的"生产组件"也同步升级。联想发布了新一代AI服务器，其单处理器核数较上一代大幅提升，为 AI训练与推理提供了更强大的算力支持。《证券日报》记者了解到，从深海勘探到智慧文旅，这套"AI 工厂"体系正在将算力转化为切实的产业创新动力。 中国信通院云计算与大数据研究所所长何宝宏认为，"AI工厂"为企业筑牢智能时代的"算力新基石"，加 速千行百业的智能化转型。 为产业协同铺设"运行轨道" 12月5日，联想集团有限公司(以下简称"联想")召开发布会，正式推出"联想AI工厂"解决方案，助力企业 数据中心完成从传统"算力中心"向高效"AI工厂"的智能化转型。同时，联想携手产业伙伴发布了业内首 个模型训推服务标准《信息技术算力服务高性能训推服务能力要求》验证成果。 "AI工厂"加速落地 市场研究机构IDC预测，2025年中国智能算力规模同比增幅将超40%。全球企业AI支出将激增。麦肯锡 于今年发布的调研报告显示，92%的企业计划未来三年提升AI投资，而仅有1%的企业认为已完成"成熟 部署"。 在此背景下，联想提出"AI工厂"，其核心是构建一套可管理、可复制且支持持续运营的标准化体系，帮 助企业将传统的"算力中心"以 ...

新浪科技讯 12月5日晚间消息，"异构智算 本地引擎"2025联想异构智算产业联盟高峰论坛暨AI算力基础 设施新品发布会在北京举办。 据悉，联想万全异构智算平台4.0在大模型预训练场景，模型训练时间可缩短35%；在大模型后训练场 景，计算引擎优化、小样本强化学习、训练自动并行可使训练时间缩短50%；在推理场景，ROCE网络 负载均衡优化，带宽利用率可提升60%，通信原语性能提升30%，大模型推理性能提升30%；在超智融 会上，联想集团副总裁、中国基础设施业务群总经理陈振宽正式推出"联想AI工厂"解决方案，同时发布 新一代高端大模型训练AI服务器—基于英特尔®至强®6处理器的联想问天 WA8080a G5，以及全新升级 联想万全异构智算平台4.0。 另外，联想问天 WA8080a G5作为联想首款高端大模型训练AI服务器，采用英特尔®至强®6最新处理 器，支持本地化主流最新OAM2.0 GPU，同时兼顾风冷和液冷双模散热方案。 责任编辑：刘万里 SF014 新浪科技讯 12月5日晚间消息，"异构智算 本地引擎"2025联想异构智算产业联盟高峰论坛暨AI算力基础 设施新品发布会在北京举办。 会上，联想集团副总裁、 ...

Core Insights - Lenovo officially launched the "Lenovo AI Factory" solution aimed at transforming traditional data centers into efficient AI factories, leveraging its advantages in computing products and solutions [1] - The new generation of high-end AI servers, Lenovo Wenti WA8080a G5, based on Intel Xeon 6 processors, was introduced alongside the upgraded Lenovo Wanquan Heterogeneous Computing Platform 4.0 to support enterprises in embracing the AI era [1] - The Chinese government has emphasized the integration of artificial intelligence in its work reports, leading to a series of policies aimed at deepening the industrial layout and promoting the integration of AI across various sectors [1] Industry Developments - The AI industry is entering a new phase characterized by the deep coupling of large models with specific industries, necessitating advancements in hardware innovation, software optimization, standardization, and application implementation [2] - The first industry standard for model training and inference services, "Information Technology Computing Power Service High-Performance Training and Inference Service Capability Requirements," was released to establish a unified capability benchmark for high-performance model training services [2] - The industry faces challenges such as fragmented heterogeneous chip scheduling, communication bottlenecks, and inefficient resource utilization, which hinder the effective release of computing power resources [2]

凤凰网科技讯12月5日，联想在北京举办"异构智算本地引擎"2025产业联盟高峰论坛暨AI算力基础设施 新品发布会。会上正式推出"联想AI工厂"解决方案，旨在帮助企业数据中心实现从传统算力中心向智能 化AI工厂的转型。 同期发布的新品包括新一代高端大模型训练AI服务器——基于英特尔至强6处理器的联想问天WA8080a G5，以及全新升级的联想万全异构智算平台4.0。该平台在大模型预训练、后训练、推理及超智融合计 算四大场景中实现性能提升，其中在部分训练场景中训练时间最高可缩短50%。 本次大会还联合多家产业伙伴发布了业内首个《信息技术算力服务高性能训推服务能力要求》标准验证 成果。该标准旨在建立统一的训推服务能力评价体系，推动算力服务从"资源交付"向标准化"能力交 付"演进。联想作为主编单位之一，参与了标准制定并率先完成相关验证。 联想集团副总裁、中国基础设施业务群总经理陈振宽表示，当前AI正进入与行业深度耦合的新阶段， 多元算力、芯片模型生态协同成为构建中国AI生态的重要力量。中国科学院院士陈润生指出，算力产 业需从"可用"向"好用"进阶，推动形成自主强大的AI算力生态。 据介绍，联想将继续围绕"AI导向"与 ...