[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-jensen-huang-lg-ai-cooperation-five-bets-zh":3,"article-related-jensen-huang-lg-ai-cooperation-five-bets-zh":33,"series-industry-1e72405b-51cf-4651-9957-a87f067fd43b":84},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"1e72405b-51cf-4651-9957-a87f067fd43b","jensen-huang-lg-ai-cooperation-five-bets-zh","黃仁勳與 LG 的 5 個 AI 合作重點","\u003Cp data-speakable=\"summary\">這篇整理 \u003Ca href=\"\u002Ftag\u002Fnvidia\">Nvidia\u003C\u002Fa> 與 LG 的五個\u003Ca href=\"\u002Fnews\u002Fnvidia-sk-group-expand-ai-ties-co-development-zh\">合作\u003C\u002Fa>面向，讀完可判斷雙方合作會先落在機器人、\u003Ca href=\"\u002Fnews\u002Fllm-wiki-compiler-raw-sources-to-wiki-zh\">資料\u003C\u002Fa>中心、車用、模型與電力哪一條線。\u003C\u002Fp>\u003Cp>黃仁勳與具光謨在三天內第二次會面，直接把合作範圍擴到五個方向，從人形機器人一路談到 800V 供電的 \u003Ca href=\"\u002Ftag\u002Fgpu\">GPU\u003C\u002Fa> 伺服器。這份清單讀完，你可以判斷這不是單一晶片採購，而是往全棧工業 AI 走的布局。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>主軸\u003C\u002Fth>\u003Cth>LG 相關單位\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>機器人\u003C\u002Ftd>\u003Ctd>Isaac、GR00T、Cosmos\u003C\u002Ftd>\u003Ctd>LG Electronics、LG Innotek、LG CNS\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI 資料中心\u003C\u002Ftd>\u003Ctd>散熱、模組化建置、DSX 參考設計\u003C\u002Ftd>\u003Ctd>LG Electronics、LG Uplus、LG CNS、LG Energy Solution\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>移動與車用\u003C\u002Ftd>\u003Ctd>Drive Hyperion、ADAS、SDV\u003C\u002Ftd>\u003Ctd>LG Electronics、LG Innotek\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI 模型調校\u003C\u002Ftd>\u003Ctd>Exaone 訓練與推論\u003C\u002Ftd>\u003Ctd>LG AI Research\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>電力系統\u003C\u002Ftd>\u003Ctd>800V DC、BESS 連結\u003C\u002Ftd>\u003Ctd>LG Energy Solution\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 機器人先落地，因為最像可交付產品\u003C\u002Fh2>\u003Cp>最先成形的合作面向，是把 \u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fai-data-science\u002Frobotics\u002F\" target=\"_blank\" rel=\"noopener\">Nvidia\u003C\u002Fa> 的機器人工具鏈帶進 LG 的實體場景。LG Electronics 會把人形與物流機器人，放進 Isaac、GR00T 和 Cosmos 這套開發流程裡，從資料生成到模擬訓練再到部署。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781399872213-o4jc.png\" alt=\"黃仁勳與 LG 的 5 個 AI 合作重點\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這意味著雙方不是只談機器人外型，而是要做一整套可反覆迭代的物理 AI 堆疊。\u003C\u002Fp>\u003Cul>\u003Cli>Isaac：機器人開發平台\u003C\u002Fli>\u003Cli>GR00T：人形機器人模型\u003C\u002Fli>\u003Cli>Cosmos：世界模型與模擬\u003C\u002Fli>\u003Cli>LG Innotek：感測與通訊零件\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 資料中心不是配角，而是新生意\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.lge.co.kr\u002F\" target=\"_blank\" rel=\"noopener\">LG\u003C\u002Fa> 與 Nvidia 把 AI \u003Ca href=\"\u002Ftag\u002F資料中心\">資料中心\u003C\u002Fa>當成共同業務來推，重點放在 GPU 伺服器更高的耗電與散熱需求。LG Electronics 正在推進冷卻液分配單元、冷板與浸沒式散熱，對應 Nvidia 的 DSX AI factory 架構。\u003C\u002Fp>\u003Cp>LG Uplus 與 LG CNS 會採用 DSX 參考設計，LG Energy Solution 則把 800V 直流供電與電池儲能系統納入討論。這一段最能看出合作已經從晶片延伸到機房基礎設施。\u003C\u002Fp>\u003Cul>\u003Cli>CDU、冷板、浸沒式散熱\u003C\u002Fli>\u003Cli>模組化與預製式機房\u003C\u002Fli>\u003Cli>DSX AI factory 參考設計\u003C\u002Fli>\u003Cli>800V DC 供電與 BESS\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 車用合作指向軟體定義汽車\u003C\u002Fh2>\u003Cp>車用部分，核心是把 Nvidia 的 Drive Hyperion 平台接到 LG 的座艙與車電系統。LG Electronics 想把資訊娛樂系統與自駕堆疊整合，並往 ADAS 與 SDV 持續推進。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781399876716-dbnf.png\" alt=\"黃仁勳與 LG 的 5 個 AI 合作重點\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>LG Innotek 也會加入通訊模組、感測方案與車用照明的開發，讓整個車用電子包不只服務單一車款，而是能跟著軟體升級持續擴張。\u003C\u002Fp>\u003Ccode>Drive Hyperion + infotainment + ADAS + SDV\u003C\u002Fcode>\u003Ch2>4. Exaone 會是 LG 自家 AI 能力的試金石\u003C\u002Fh2>\u003Cp>LG AI Research 的 Exaone 模型，將在訓練與推論兩端導入 Nvidia 的工具。Blackwell GPU、NeMo、TensorRT-\u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa> 與 Nemotron 開放資料集，會一起用來提升模型效率與回應速度。\u003C\u002Fp>\u003Cp>這一段的重要性在於，合作不只是賣硬體給 LG，而是直接幫 LG 打磨自己的模型能力。對 Nvidia 來說，這也等於多了一個企業級軟硬體整合案例。\u003C\u002Fp>\u003Cul>\u003Cli>Blackwell GPU：訓練用\u003C\u002Fli>\u003Cli>NeMo：模型開發\u003C\u002Fli>\u003Cli>TensorRT-LLM：推論優化\u003C\u002Fli>\u003Cli>Nemotron：資料與模型工作\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 電力系統決定 AI 工廠能不能跑久\u003C\u002Fh2>\u003Cp>最後一項看起來最不顯眼，卻可能最關鍵。Nvidia 的 AI factories 需要穩定電力，而 LG Energy Solution 正在討論面向未來 GPU 叢集的 800V DC 解法。\u003C\u002Fp>\u003Cp>這還可能和 BESS 連動，幫資料中心平滑尖峰負載、提高韌性。換句話說，合作已經從晶片、模型與機房，走到讓大型 AI 設施真正能長時間運轉的「電力底盤」。\u003C\u002Fp>\u003Ch2>哪一種合作最值得看\u003C\u002Fh2>\u003Cp>如果你最關心短期可落地的業務，\u003Ca href=\"\u002Fnews\u002Fpython-jit-pause-pep-3-15-zh\">先看\u003C\u002Fa>機器人與資料中心，因為這兩項最容易變成設備、系統與建置訂單。若你看的是長期平台價值，電力系統與 Exaone 會更能反映這個聯盟是否真的擴成全棧 AI。\u003C\u002Fp>\u003Cp>車用則是另一條值得追的線，因為它把 Nvidia 的平台能力帶進 LG 的汽車電子版圖。整體來看，這份合作清單的重點不是「五件事」，而是五個可以互相串接的落點。\u003C\u002Fp>","5 個合作面向已把 Nvidia 與 LG 串成一條 AI 供應鏈，從機器人、資料中心到車用與電力系統都能看懂。","www.thelec.net","https:\u002F\u002Fwww.thelec.net\u002Fnews\u002FarticleView.html?idxno=11110",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781399872213-o4jc.png","industry","zh","d5852d0a-88c2-4d93-869f-03e83e76424c",[17,18,19,20,21,22,23,24],"Nvidia","LG","黃仁勳","AI 資料中心","機器人","車用 AI","Exaone","800V DC",[26,27,28],"合作已從晶片採購擴展成機器人、資料中心、車用、模型與電力五條線。","最可能先落地的是機器人和 AI 資料中心，因為它們最接近實際部署與採購。","Exaone 與 800V 供電顯示這不是單點合作，而是全棧 AI 基礎設施布局。",0,"2026-06-14T01:17:22.011305+00:00","2026-06-14T01:17:21.995+00:00","2cb1f134-9ca8-4647-b696-1736b4ec4bc3",{"tags":34,"relatedLang":43,"relatedPosts":47},[35,37,39,40,41],{"name":17,"slug":36},"nvidia",{"name":38,"slug":38},"lg",{"name":19,"slug":19},{"name":21,"slug":21},{"name":20,"slug":42},"ai-資料中心",{"id":15,"slug":44,"title":45,"language":46},"jensen-huang-lg-ai-cooperation-five-bets-en","Jensen Huang’s LG deal spans five AI bets","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"1479dc4b-5684-4a0c-83f4-ee09595092bf","mastercard-opens-ai-payments-stablecoins-zh","Mastercard 讓 AI 直接付穩定幣","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781408867181-ad8z.png","2026-06-14T03:47:21.631777+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"d88f40d6-a3d3-4bf5-b149-bf17bcaf009b","5-ji-jie-kan-chuan-zhe-zhi-jia-ren-xing-ji-qi-ren-ying-pian-zh","5 個細節看穿這支假人形機器人影片","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781406168128-28g0.png","2026-06-14T03:02:20.268133+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"132ee9f1-b43f-4ed0-a6dc-10b512e95c04","nvidia-sk-group-expand-ai-ties-co-development-zh","Nvidia 與 SK Group 擴大 AI 合作","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781398973415-mq94.png","2026-06-14T01:02:29.836242+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"4ea87c5d-e6f5-4b0b-8725-886c8bf90724","llm-wiki-compiler-raw-sources-to-wiki-zh","7 個把原始資料編成可追溯 Wiki 的功能","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781389970790-qaws.png","2026-06-13T22:32:22.507306+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"3dd972ed-9161-445b-aa09-0e3b2b62cd76","python-jit-pause-pep-3-15-zh","Python JIT 暫停後，3.15 先看這 5 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3…","2026-03-26T07:30:12.825269+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]