英伟达砍掉智驾门槛！索尼游戏机搬上自家新车，中国玩家集体亮相“CES车展”_老虎社区_美港股上老虎

英伟达砍掉智驾门槛！索尼游戏机搬上自家新车，中国玩家集体亮相“CES车展”

车东西01-07

车东西作者｜颐圣编辑｜志豪CES从不缺“未来”，但从车东西在CES2026的观察中第一次让人强烈感觉到，未来已经到来，大家开始卷量产、供应链排期、软件栈落地。汽车也从“软件定义”走到了“AI定义”，从联网设备进化成能在物理世界里感知、推理、执行的“具身终端”。车东西1月7日美国拉斯维加斯现场报道，2026年的国际消费电子展（CES 2026）如期开幕。和过去几年相比，今年汽车与出行板块的...

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Sony game console is put on its own new car, and Chinese players collectively appear at the \"CES Auto Show\"","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"SONY":1.91,"NVDU":0.6,"2NVD.UK":0.6,"NVIW.SI":0.6,"00175":0.9,"SNVD.UK":0.6,"NVDS.UK":0.6,"NVDX":0.6,"NVDA":1.94,"NVDY":0.6,"NVD":0.6,"NVDD":0.6,"NVD2.UK":0.6,"09863":0.9,"3NVD.UK":0.6,"NVD3.UK":0.6,"NVDS":0.6},"content_text":"车东西作者 ｜ 颐圣编辑 ｜ 志豪CES从不缺“未来”，但从车东西在CES2026的观察中第一次让人强烈感觉到，未来已经到来，大家开始卷量产、供应链排期、软件栈落地。汽车也从“软件定义”走到了“AI定义”，从联网设备进化成能在物理世界里感知、推理、执行的“具身终端”。车东西1月7日美国拉斯维加斯现场报道，2026年的国际消费电子展（CES 2026）如期开幕。和过去几年相比，今年汽车与出行板块的气质明显变了，电动化不再是主角，甚至连“堆屏幕、拼座舱”都不再足够刺激。取而代之的是一种更“硬”的叙事：算力、传感器、操作系统、跨域融合，以及围绕它们展开的“产业级交付能力”。芯片方面，英伟达重仓“物理AI”，全新的Vera Rubin AI芯片官宣，高通展位上，双8797至尊版芯片加持的零跑D19正挑战中央计算的性能极限。与此同时，本次CES的中国力量尤为吸睛，极氪、长城拿出豪华车型参展并发布最新AI进展，黑芝麻250TOPS算力的A2000芯片将给ADAS底座提供全新解决方案，禾赛、速腾聚创则在激光雷达领域展现出了绝对的优势。日产企业也不甘示弱，从本田索尼Afeela座舱里流畅运行的PS5大作，到现代展台疯狂跑酷的Atlas机器人，这些实物展品无不体现着汽车正从代步工具彻底进化为拥有“大脑”与“神经”的移动生命体。不难发现，那个曾经只停留在PPT上的“AI定义汽车”时代，在2026年可能真的要变成现实。一、中国力量反客为主 从卖车到卖生态在今年的CES上，车东西最深的感受不是某一款具体的中国车，而是一种“无处不在”的渗透感——中国供应链企业正在成为全球智能汽车的“水和电”。1、整车出海：极氪与长城的“高端局”在CES2026期间，吉利汽车集团携极氪9X、极氪009光辉版等电车，以及吉利旗下神盾金砖电池、Flyme Auto智能座舱等吉利“全域AI”技术成果亮相。活动期间，吉利还公布了关于AI的最新进展，在模型方面，吉利公开了WAM模型内核，与此同时，千里浩瀚G-ASD辅助驾驶系统同步亮相，并发布了其在辅助驾驶领域的最新进展。▲极氪WAM内核据悉，WAM模型已经通过无线更新部署到部分领克和极氪车型上，并且基于现有硬件进行升级。在这个框架下，吉利方面计划在2026年推出约十款新车型。而长城汽车（GWM）这次则是继去年 CES以来第二次参展，带着TANK 500 Hi4-T和SOUO S2000CL摩托车重返CES。长城用硬派越野和高端摩托车，试图打破中国品牌仅靠性价比取胜的刻板印象，向全球展示其在复杂动力系统上的技术储备。▲长城汽车展台在软件方面，长城汽车本次重点展示了ASL 2.0智能体和基于VLA大模型的最新进展。与此同时，追觅投资的Kosmera也在CES2026上公开了一款轿跑与一款跑车，两款车型均采用四门设计。据官方透露，它们的综合功率会达到1903马力。现现场，这家来自苏州新势力的新车也引得路过的老外纷纷驻足拍照。▲Kosmera新车2、供应链突围：中国智造的“隐形冠军”如果说整车是面子，那么供应链就是里子。在CES 2026，中国供应链企业简直是“杀疯了”。在芯片领域，黑芝麻智能拿出了对标英伟达Orin的华山A2000芯片，算力超过250 TOPS。▲黑芝麻A2000亿咖通（ECARX）则展示了基于AMD Ryzen V2000的Makalu计算平台。▲亿咖通全新计算平台这些中国“芯”势力，正在为全球车企提供高通、英伟达之外的选择。而在激光雷达领域，禾赛科技（HESAI）和速腾聚创（Robosense）几乎瓜分了现场的关注度。作为激光雷达在全球市场的“扛把子”，禾赛的AT128 与最新一代ATX 旗舰产品已整合至NVIDIA DRIVE和NVIDIA Omniverse 生态系统中，在L4自动驾驶拿下一城。禾赛方面表示，其ADAS和机器人应用的年产能将从2025年的200万台翻一番，预计到2026年将达到400万台。▲禾赛ATX激光雷达速腾聚创则重点展示了其在机器人领域的运用，发布AC2机器人操作之眼，这也是业界首款集成全固态dToF激光雷达的超级传感器，成为机器人视觉的“眼睛”。▲速腾聚创AC2机器人操作之眼可以说，没有中国的激光雷达，自动驾驶的产品可能要“失明”一半。中科创达（Thundersoft）展示了向“Tier 0.5”进化的野心。他们发布了Aqua Drive OS 2.0 Pre整车操作系统，直接打通了智驾和座舱。▲中科创达AquaDrive OS演示作为专注全车系统融合的企业，车联天下还发布了深度融合电子电气架构Deep Fusion EEA，为先进的自动驾驶、设备上大型模型、多模态感知和全场景智能交互奠定长期可扩展的技术基础。在无人配送领域，新石器（Neolix）则首发展示了其全新一代”最后一公里”配送机器人。▲新石器首发的新款无人车（站位图片，需更换）新石器的无人配送车辆包括X3、X6等产品已经量产，交付超过了10000辆，通过无人物流把“无人驾驶”变成一门真正赚钱的生意。在活动期间，新石器也宣布其与葡萄牙一家汽车及移动出行解决方案提供商Salvador Caetano Auto达成战略合作。二、芯片巨头的算力战争 硅基底座的巅峰对决CES 2026的另一个主战场，属于芯片巨头。汽车行业的竞争，归根结底变成了算力的竞争。当下，SDV（软件定义汽车）不再是愿景，而变成了默认前提，真正开始分胜负的，是“物理AI”是否能规模化落地。所谓“物理AI”，不是让车更会说话、屏更大，而是让系统能在复杂的现实世界里可靠感知、合理预测、做出动作，这也更接近“具身智能”而不是“信息智能”。1、NVIDIA英伟达：黄仁勋的“物理AI”野望英伟达在CES 2026期间将其汽车战略重心转向具备逻辑推理能力的“具身智能”。其首先发布开源推理模型（Reasoning VLA），以及为应对辅助驾驶长尾场景挑战而设计的开源视觉-语言-动作推理模型（Alpamayo 1）。作为行业首个100亿参数的“思维链”模型，它能根据视频输入生成行驶轨迹，并展示每一步决策背后的逻辑轨迹。▲英伟达的汽车布局Alpamayo系列工具还包含赋能辅助驾驶开发的仿真工具AlpaSim以及包含1700多小时驾驶数据的物理 AI 开放数据集。这些资源为开发具备感知、推理与类人决策能力的车辆提供支持，使开发者能够进行模型调优、蒸馏和测试，从而提升安全性与鲁棒性。在量产方面，英伟达和捷豹路虎、Lucid、Uber以及伯克利DeepDrive研究社区正依托Alpamayo加速 L4 级部署进程。▲英伟达和奔驰的合作此外，黄仁勋宣布与梅赛德斯-奔驰合作的full-stack方案将于2026 年第一季度正式上路。最后，英伟达还在现场公布了名为Vera Rubin的新一代AI芯片，旨在提供更强性能的同时将推理成本降至前代产品的十分之一。2、Qualcomm高通：精英级的反击高通不甘示弱，也拿出了Snapdragon Cockpit Elite（骁龙座舱至尊版）当下最新的进展，该平台搭载高通自研 Oryon CPU 的骁龙座舱平台至尊版与 Snapdragon Ride 平台至尊版（骁龙 8797）。▲CES2026高通展台零跑汽车旗舰车型D19成为全球首款搭载双骁龙8797的量产车型，该方案通过单一系统集成了座舱、驾辅、车身控制与车载网关，标志着汽车架构正式迈向中央集中式计算。▲首搭高通双8797的零跑D19LG也发布了最新的智能座舱平台，同样基于高通骁龙座舱至尊版芯片打造。该平台将生成式AI模型嵌入车载信息娱乐系统，支持根据外部环境动态调整界面和内容。车联天下、德赛西威、航盛电子和卓驭科技等中国Tier1也在本届CES上重点强调了其基于Snapdragon Ride Flex的舱驾融合解决方案的量产计划。在AI层面，高通与谷歌深化了十年的合作，将利用Google Cloud Gemini Enterprise打造汽车 AI 智能体，赋能汽车更好地预测并响应驾驶员需求。3、Mobileye：坚守纯视觉防线Mobileye在现场展望了和大众及其他主机厂的合作，并同步展望了下一代Mobileye的芯片架构。▲Mobileye和大众的合作同时，Mobileye还展示了SuperVision、Chauffeur和Drive平台的更新，这些平台目前已经拿下了17种车型的生产订单，计划从2026年开始部署。4、德州仪器：高性能边缘 AI 与感知技术的普及者德州仪器（TI）通过丰富的模拟与嵌入式处理组合，致力于将 L3 级自动驾驶能力推向更广泛的车型。德州仪器发布了TDA5系列SoC，可提供10到1200TOPS的可扩展AI算力。得益于集成的C7 NPU，其AI计算能力较前代提升了12倍，无需昂贵的散热方案即可处理复杂的语言模型与变压器网络。此外，德州仪器还和TI与新思科技（Synopsys）合作，通过TDA5 SoC虚拟开发套件的数字孪生功能，帮助车企将软件定义汽车（SDV）的研发周期缩短多达12个月。三、海外企业反击 索尼画饼奔驰AI座舱上新在中国车企集中展示智能化成果的同时，海外品牌也在CES 2026上积极回应，推出多项新技术与产品，力图在智能座舱、娱乐体验和前沿技术领域保持竞争力。1、索尼本田（SHM）：把客厅搬进车里索尼与本田的“混血儿”Afeela终于带来了“预量产”版本。车东西在现场体验了其最大的杀手锏——车载PlayStation Remote Play。▲Afeela车内畅玩PS5游戏只要网络允许，你可以在车里用大屏畅玩PS5游戏。索尼的逻辑很清晰：既然拼电机拼不过，那就拼娱乐。这不仅仅是一台车，更是一个移动的娱乐厅。2、奔驰宝马纷纷拿出最新座舱设计在本次CES中，豪华车企也同步拿出了其在AI座舱上的最新成果。宝马宣布与亚马逊合作，将Alexa+生成式人工智能技术整合至其智能个人助理系统。首款应用该功能的车型为宝马iX3，用户可在该车型上率先体验升级后的语音交互能力。▲宝马iX3官方信息显示，升级后的语音助手支持更自然的多轮对话，能够理解包含多个操作意图的复合指令，并在部分场景下提供上下文相关的建议。用户可以通过一条语音命令同时调节空调、查询导航路线并播放音乐。与此同时，梅赛德斯-奔驰在美国市场首次推出纯电动GLC车型。该车型配备品牌目前最长的连续曲面屏MBUX Hyperscreen，并搭载沉浸式空间音频系统。▲奔驰纯电动GLC奔驰方面表示，该车型旨在结合智能化配置与电动性能，拓展美国市场的电动化产品阵容。此外，该车型是首款在量产车上同时集成微软Azure AI与谷歌AI服务的产品，体现了跨平台AI整合的技术尝试。3、现代汽车（Hyundai）Atlas机器人除了地上的车，在此次CES2026中，车企也在机器人上发力了。现代汽车（Hyundai）把波士顿动力的新一代Atlas机器人带到了现场，让它在展台上“跑酷”，展示其软件定义工厂的愿景。▲新一代Atlas机器人4、摩托车全固态电池或上车在本次CES上，固态电池同样也有新进展，来自芬兰的创企Donut Lab宣布推出一款可用于量产车辆使用的全固态电池，并计划自2026年第一季度起在Verge品牌摩托车上应用。▲Donut Lab的固态电池官方信息显示，该电池的能量密度为400 Wh/kg，充电时间约5分钟即可满电，设计寿命可达10万次充电循环，容量衰减较低。该产品还声称在-30°C至100°C的环境下可保持约99%的容量输出。结语：AI定义汽车时代来临CES2026上，企业向AI定义汽车的转变，在展馆里非常直观，你会发现几乎所有重磅发布都在回答同一件事，那就是车的“大脑”和“神经系统”到底谁来定义？是整车厂自己、芯片巨头，还是中间件平台？而这也直接把CES 2026推成了一场更像“产业战争”的展会，每个玩家都不再只展示产品，而是在展示自己在未来产业链里能占到哪一层。当下，汽车不再只是交通工具，它正在变成一个“会推理、能执行、能进化”的移动终端。而当终端开始具身，汽车产业也将从产品竞争，进入“系统与生态竞争”。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"hasMoreComments":false,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}