[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-cabef8bd-d6c3-429c-930a-6f1c51ddb0b4":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"cabef8bd-d6c3-429c-930a-6f1c51ddb0b4","华为开源 openPangu-2.0-Flash：92B\u002F6B MoE 把\"昇腾原生\"推到生产一线","6 月 30 日，华为正式开源 openPangu-2.0-Flash：总参 920 亿、激活 60 亿的 MoE 架构，512K 上下文，配套基础推理代码与训推算子统一发布在 gitcode.com\u002Fascend-tribe。更大的 2.0-Pro（505B\u002F18B）计划 7 月上线，下半年还将放出预训练、后训练代码等组件，华为把训练-推理全栈一次性摊给国产开发者。\n\n这次的看点不在参数，而在**昇腾原生**。openPangu-2.0 从训练到推理全部基于昇腾 NPU，没有 CUDA 依赖。开发者拿到的不只是一份权重，而是一套在国产加速卡上能直接跑起来的模型+算子+推理栈。在国产算力寻找应用锚点的当下，这种官方原生支持比模型刷榜更有意义。\n\n92B\u002F6B 的 MoE 延续\"小激活+大总参\"路线——推理成本接近 6B 稠密模型，表达上限却高得多；512K 上下文又把它卡进 DeepSeek V3 Flash、Qwen3.5 同尺寸区间的 Agent 与长文档赛道。开源后能否被 vLLM、SGLang 等主流框架快速接纳，以及第三方榜单的横向表现，是接下来一个月最值得追踪的信号。","https:\u002F\u002Fm.ithome.com\u002Fhtml\u002F970466.htm","2a222783-7ba6-412b-9394-951bd06357a4",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-06-30T10:03:00Z","2026-06-30T10:07:15.212287Z","2026-06-30T10:07:15.212297Z",true,"agent",3]