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多家车企明确2027年计划开展全固态电池装车示范工作;MinerU完成10余家国产AI芯片算力适配丨智能制造日报
创业邦· 2026-02-13 03:37
欢迎加入 睿兽分析会员 ,解锁 AI、汽车、智能制造 等相关 行业日报、图谱和报告 等。 1.【多家车企明确2027年计划开展全固态电池装车示范工作】记者获悉,吉利汽车、奇瑞汽车等多家 车企近日披露各自全固态电池产业规划方案。吉利控股高级副总裁兼CTO沈源表示,公司在全固态电 池领域布局了三大技术路线,在应用规划方面,短期目标是2026年完成样车首发;2027年全固态电 池实现小批量产业化;长期目标是2030年完成全固态电池的产业化布局,并在高端车型上批量上 市。奇瑞汽车副总裁古春山表示,公司计划2026年实现0.5GWh中试线投产、PACK样包下线,完成 60Ah级全固态电芯的连续化生产;2027年正式启动全固态电池装车示范工作,推动技术从产线走向 实车验证,逐步实现规模化应用落地。(财联社) 2.【MinerU完成10余家国产AI芯片算力适配】2月12日消息,目前上海人工智能实验室 OpenDataLab团队、DeepLink团队及国产芯片厂家合作,已完成昇腾、平头哥、沐曦、海光、燧 原、摩尔线程、天数智芯、寒武纪、昆仑芯、太初元碁、壁仞等10余家主流国产算力的适配。 MinerU为上海人工智能实验室研发 ...
MinerU全面深度适配主流国产算力,10余家国产AI芯片在列
Huan Qiu Wang· 2026-02-12 08:45
【环球网科技综合报道】2月12消息,上海人工智能实验室 OpenDataLab 团队、 DeepLink 团队及国产 芯片厂家携手,于日前先后完成了昇腾、平头哥、沐曦、海光、燧原、摩尔线程、天数智芯、寒武纪、 昆仑芯、太初元碁、壁仞等 10 余家主流国产算力的适配。此举旨在通过软硬件协同的全栈优化策略, 深度适配各类算力,全面提升 MinerU 项目的生态兼容性与适应力,赋能更多开发者与企业高效构建大 模型语料基石。 近期,国内不少主流AI大模型相继推出更新版本,国产AI芯片企业也紧随其后适配新版本大模型。 对此,太初元碁相关负责人表示,截至目前其已完成包括DeepSeek、千问、智谱、MinerU、文心一言 等在内的30多个AI大模型的国产算力适配工作,涵盖了Qwen3 Dense/MoE 系列模型、BAAI Embedding / Reranker系列模型、Qwen-VL、LLaVA等多模态理解系列模型;Stable-Diffusion、FLUX、Wan系列等 多模态生成类模型;GLM、Seed-OSS、文心一言等大语言模型;以及MinerU、DeepSeek-OCR 2、 Paddle-OCR等主流OC ...
MinerU完成10余家国产AI芯片算力适配
Xin Lang Cai Jing· 2026-02-12 04:40
Core Viewpoint - The collaboration between Shanghai Artificial Intelligence Laboratory's OpenDataLab team, DeepLink team, and domestic chip manufacturers has successfully adapted over ten mainstream domestic computing power solutions for the MinerU AI document parsing tool, enhancing its ecosystem compatibility and adaptability [1] Group 1: Collaboration and Development - The OpenDataLab team and DeepLink team have partnered with more than ten domestic chip manufacturers, including Ascend, PingTouGe, MuXi, HaiGuang, SuiYuan, MoErThread, TianShuZhiXin, HanWuJi, KunLunChip, TaiChuYuanQi, and BiRan [1] - The collaboration aims to implement a full-stack optimization strategy through hardware and software synergy [1] Group 2: Product Features - MinerU, developed by the Shanghai Artificial Intelligence Laboratory, is an AI document parsing tool that utilizes a self-developed VLM model [1] - The tool achieves an impressive accuracy rate of 99% in capturing elements from PDFs and complex web pages [1]
太初元碁等10余家国产AI芯片深度适配MinerU自研模型
Guan Cha Zhe Wang· 2026-02-12 04:14
依托自研的VLM模型,MinerU对PDF及复杂网页的元素捕捉准确率可达99%。无论是精密复杂的数学 公式,还是嵌套繁琐的结构化表格MinerU均能实现精准还原与结构化提取。 据了解,MinerU的核心价值在于其跨行业的普适性与极高的解析精度。对于大模型研发而言,它是高 效的语料生产引擎,能够支撑千万级规模文档向AI-Ready数据的快速转化;对于政企办公及科研领域, 它则是精准的文档解析工具,极大提升了数字化办公的高质量发展。 近期,国内不少主流AI大模型相继推出更新版本,国产AI芯片企业也紧随其后适配新版本大模型。以 太初元碁为例,记者向相关负责人了解到,截至目前其已完成包括DeepSeek、千问、智谱、MinerU、 文心一言等在内的30多个AI大模型的国产算力适配工作,涵盖了Qwen3Dense/MoE系列模型、BAAI Embedding/Reranker系列模型、Qwen-VL、LLaVA等多模态理解系列模型;Stable-Diffusion、FLUX、 Wan系列等多模态生成类模型;GLM、Seed-OSS、文心一言等大语言模型;以及MinerU、DeepSeek- OCR2、Paddle-OC ...
OpenDataLab将与钉钉打造免费全能的文档解析神器
Ge Long Hui· 2025-09-04 11:28
Core Insights - High-quality data is essential for AI model training and application, serving as the "fuel" for enterprises transitioning to AI [2][3] - OpenDataLab and DingTalk have launched DLU, a document parsing tool aimed at helping enterprises overcome AI-Ready data challenges [2][3] Group 1: Product and Technology - DLU is based on MinerU, an intelligent document parsing engine developed by OpenDataLab, which has gained over 40,000 stars on GitHub due to its precise parsing capabilities [2][3] - MinerU 2.0 has improved parsing speed and accuracy, achieving performance comparable to mainstream models with 72 billion parameters using only 0.98 billion parameters [3] - DLU supports various document formats, including Office documents, PDFs, Markdown, and DingTalk's proprietary formats, enabling the extraction of complex visual elements for high-quality data suitable for model training [3][4] Group 2: Market Position and Strategy - OpenDataLab is recognized as a leading AI data platform in China, providing over 2 million data retrieval services to more than 100,000 users [3] - DingTalk, as a part of Alibaba Group, has a strong enterprise user base and has integrated MinerU capabilities into its document products, laying a solid foundation for DLU's development [3][4] - The open-source DLU aims to address data preparation challenges faced by enterprises in the AI era, supporting a full-cycle process from document creation to customized model training [4]