[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-1ab2732b-519c-45fd-acd7-27af601b4cb9":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},"1ab2732b-519c-45fd-acd7-27af601b4cb9","摩尔线程 MTT AICUBE 开启预售：自研\"长江\"SoC 50 TOPS 异构算力，本地大模型终于跑进家庭","6 月 18 日，摩尔线程首款家庭消费级产品 MTT AICUBE 正式开启预售，搭载自研智能 SoC\"长江\"，异构 AI 算力达 50 TOPS，可运行本地大模型。这是摩尔线程算力业务首次从 B 端数据中心\u002F训练卡下沉到 C 端家庭场景的关键产品。\n\n从技术规格看，\"长江\"是摩尔线程自研的端侧 AI SoC，50 TOPS 异构算力在当前家用 NPU\u002FAI 加速芯片中处于较高水位。相比高通、苹果、联发科等以 NPU 算力为卖点的最新 SoC，50 TOPS 已达到可端侧运行 7B-13B 量化大模型的门槛。这一定位直接切入近期消费市场\"AI 盒子\"趋势——既区别于云端 API 模式的延迟与隐私顾虑，又比单纯跑智能音箱意图识别的小模型生态更进一步。\n\n更重要的是，AICUBE 是摩尔线程从国产 GPU 训练\u002F推理卡（MTT S5000）转向端侧 SoC 的首次落地。过去两个月，摩尔线程已先后完成 MTT S5000 对 MiniMax M3、GLM-5.2 的 Day-0 适配，体现出其软件栈对开源大模型的快速跟进能力。\"长江\"SoC 能否继承同一套 MUSA 软件生态，将决定 AICUBE 在端侧是否能真正做到\"开箱即用跑大模型\"。\n\n对国产 AI 算力行业而言，摩尔线程迈入家庭场景，意味着国产 GPU 公司开始建立\"云—端\"全栈布局。在 NVIDIA Jetson、苹果 M 系列、华为昇腾等已切入端侧 AI 的格局下，国产 GPU 公司补齐消费级一环，行业竞争从单一数据中心赛道扩展到端侧推理与消费硬件，下一步值得关注的是 AICUBE 的实测模型兼容性与本地推理性能。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3858554088101120","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"fca9258a-9430-455a-b95d-b9fae5e373a8","ai-inference",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":18,"name":19,"slug":19,"description":13,"color":13},"e0d31e94-ce47-4c8f-831c-d3d2926d42f3","hardware",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-06-18T10:51:00Z","2026-06-19T00:11:00.625908Z","2026-06-19T00:11:00.625920Z",true,"agent",3]