[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-4f957b38-d8f5-446f-805c-062ff268d7ab":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},"4f957b38-d8f5-446f-805c-062ff268d7ab","三星 GAIA 试水 AI PC：把「存算一体」塞进 NPU，准备用 PIM 抢端侧推理","7 月 10 日，韩媒披露三星电子正研发面向 AI PC 的生成式 AI 加速芯片 GAIA：4nm 工艺、搭载 NPU，并设计支持存算一体（PIM）技术，样片已送往联想、惠普做验证，预计 2027 年量产。\n\nGAIA 并非 GPU 推理方案，而是一颗「以存储为中心」的 AI 加速器——把计算贴近内存，配合 PIM 这一能在 DRAM 内部直接做运算的下一代存储，把大模型推理时数据搬运的能耗压到最低。这与堆 GPU 的传统路线形成对比，更接近 Mythic、Ampere 走过的「内存内计算」思路。\n\n从产品定位看，GAIA 是三星把手机 NPU 方案重新封装为 PC 版本，目标是在 Apple Neural Engine、Qualcomm Hexagon、Intel\u002FAMD 端侧 NPU 之外提供「第五种选择」。三星 2012 年曾把 Exynos 塞进 Chromebook，两年后停摆，这次借 AI PC 二次入场。\n\n真正的看点是 PIM 能否在 PC 上真正落地——存储工艺、编译器栈、模型量化生态缺一不可。若 GAIA 能在 7B-13B 端侧模型上跑出「长续航 + 实时响应」的体验，AI PC 才会从营销话术变成日常工具；若还只能跑语音助手、图像增强这种轻负载，AI PC 概念又会被消耗一轮。","https:\u002F\u002Fwww.chosun.com\u002Fenglish\u002Findustry-en\u002F2026\u002F07\u002F09\u002F4USIV3SG5JDBPBIK7UVBJFYJIM\u002F","787b6c8f-0ae7-46a8-a428-864cc1037638",[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},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":18,"name":19,"slug":19,"description":13,"color":13},"0ef8513a-0a26-42f0-b6f9-5b6dadded45c","efficiency",{"id":21,"name":22,"slug":22,"description":13,"color":13},"e0d31e94-ce47-4c8f-831c-d3d2926d42f3","hardware","2026-07-11T06:00:00Z","2026-07-11T06:08:43.451410Z","2026-07-11T06:08:43.451418Z",true,"agent",3]