马斯克：AI5 是特斯拉的生死线，搞不定便满盘皆输

未来机器人网

02/13

在特斯拉的战略蓝图中，AI5 绝非简单的新一代车载芯片 —— 尽管马斯克公开称之为“AI5 Chip”，但其工程定义实为 HW 5.0 第五代车载计算平台，自 2024 年 6 月更名后，已成为支撑特斯拉未来的核心支柱。2025 年 11 月的股东大会上，马斯克直言“Solving AI5 was existential to Tesla”，这句表态将其重要性推向极致：无人驾驶、人形机器人、...

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href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260213071438a6f4fa2f&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU1778281490.HKD","symbol_name":"HSBC GIF GLOBAL LOWER CARBON EQUITY \"AD\" (HKD) INC","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260213071438a6f4fa2f&s=b","article_id":"2611909634","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260213071438a6f4fa2f&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, 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everything","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"TSLR":0.6,"TSLZ":0.6,"TSDD":0.6,"TSLP":0.6,"TSL":0.6,"TSLA":1.98,"TSII":0.6,"TSLS":0.6,"TSLI":0.6,"CRSH":0.6,"TSLO":0.6,"TSYY":0.6,"TSLY":0.6,"TESL":0.6,"TSLT":0.6,"UFO":0.6,"TSLW":0.6,"07766":0.6,"TSLG":0.6,"TSLQ":0.6},"content_text":"在特斯拉的战略蓝图中，AI5 绝非简单的新一代车载芯片 —— 尽管马斯克公开称之为“AI5 Chip”，但其工程定义实为 HW 5.0 第五代车载计算平台，自 2024 年 6 月更名后，已成为支撑特斯拉未来的核心支柱。2025 年 11 月的股东大会上，马斯克直言“Solving AI5 was existential to Tesla”，这句表态将其重要性推向极致：无人驾驶、人形机器人、数据中心三大核心业务，全将赌注压在这一平台上，一旦失败，特斯拉将面临存亡危机。一头性能 “怪兽”：AI5 的参数革命2025 年 6 月，三星供应链泄露的文档揭开了 AI5 的神秘面纱，其核心参数较前代 HW4 实现跨越式提升：推理算力达 2000-2500 TOPS，是 HW4 的近 8 倍；内存扩容至 144GB，为前代 9 倍；带宽飙升至 1.9 TB/s，相当于 HW4 的 5 倍，制程更是迈入 3nm 级别。这些数据并非空谈，马斯克在后续播客与财报会上陆续佐证：AI5 推理性能是 HW4 的 40 倍，能效提升 3 倍，每美元性能或为英伟达的 10 倍，单芯片对标英伟达 Hopper 级别，双芯片可达 Blackwell 级别，且成本与功耗显著更低。性能飞跃的背后，是架构的极致优化与减法思维。AI5 硬件原生支持 SoftMax 操作，将 HW4 需 40 步完成的运算压缩至数步；果断砍掉 ISP 与 GPU，FSD 直接读取摄像头原始光子数据，绕开图像处理的信息损耗，同时将渲染任务移交座舱 AMD Ryzen，让芯片专注于端到端神经网络运行。这一设计使芯片面积缩减至 “半个光罩”，成本、良率与发热问题同步改善，省出的晶体管全量投入推理单元。内存方面，AI5 大概率采用 HBM3 高带宽内存，成为行业首个搭载该技术的车载平台，1.9 TB/s 带宽足以支撑海量数据高速传输，且将提供单芯片与双芯片两个版本以适配不同场景。十倍参数的刚需：AI5 为何必须强大？AI5 的性能冗余，源于特斯拉对模型升级的迫切需求。2025 年 6 月，马斯克先是透露测试 4 倍参数新模型，两个月后直接宣布跳过过渡版本，推出参数量为原来 10 倍的 FSD v14，该版本于当年 10 月如期推送。参数量暴涨 10 倍，对算力、内存与带宽提出了严苛要求 ——FSD 需实时处理 8 个摄像头每秒 36 帧的 360 度视野数据，必须在几十毫秒内完成决策，任何环节短板都可能导致丢帧、延迟或精度下降。HW4 的 300 TOPS 算力仅能勉强支撑 FSD v14 运行，而下一代 FSD 的核心升级方向是 “推理能力”：从简单的 “红灯停绿灯走” 条件反射，升级为 “预判前车减速意图、兼顾行人动态” 的因果推理，多步推演与场景模拟需消耗数倍算力，这正是 AI5 40 倍推理性能的核心用武之地。内存方面，10 倍参数的模型量化后需占用大量空间，HW4 的 16GB 内存已逼近运行下限，且无法满足车辆存储更长时间环境 “记忆” 的需求，AI5 的 144GB 内存恰好解决这一瓶颈。带宽上，FSD v14 每秒需读取 375GB 数据，HW4 的 384 GB/s 仅能勉强支撑，而更大模型的带宽需求将达每秒 3.75TB，AI5 的 1.9 TB/s 带宽正是为此提前布局。马斯克坦言，安全的无人驾驶需要 100 亿英里训练数据，只有足够强大的硬件才能承载现实世界的 “超长尾巴复杂性”。165 亿美元豪赌：AI5 的量产攻坚战为保障 AI5 供应，特斯拉下了一盘大棋。2025 年 8 月，特斯拉与三星签订 165 亿美元代工合同，这一订单成为三星德州 Taylor 厂最大订单，同时特斯拉采取 “双代工” 策略，将 AI5 同时交给三星与台积电生产 —— 三星德州厂采用 3nm GAA 工艺，台积电亚利桑那厂采用 3nm N3E 节点，两款芯片工艺不同但软件需保持一致，此举旨在分散风险、保障产能，毕竟 FSD、Robotaxi、Optimus 均依赖该芯片。按照计划，AI5 将于 2026 年底少量产出，2027 年大规模量产，但进度仍存变数。2025 年 7 月马斯克称芯片设计 “已完成”，半年后改口 “几乎完成”，导致 2026 年 6 月投产的 Cybercab 只能搭载 HW4。为填补过渡期算力缺口，特斯拉推出 HW4.5 过渡版本，将双芯片升级为三芯片，既提升算力以支撑模型迭代，又通过三芯片投票决策提高可靠性，该版本已在部分 Fremont 工厂生产的 Model Y 上搭载。更大的野心藏在产能布局中。马斯克直言现有供应商产能不足，计划打造整合逻辑芯片、内存与封装的 “TeraFab” 超级工厂，SpaceX 已在德州建设先进封装设施，目标 2026 年 Q3 有限生产，2027 年 Q1 全面量产。该工厂初期月产 10 万片晶圆，最终目标达 100 万片，年产芯片 1000 亿至 2000 亿颗，这一规模已接近台积电全球月产水平。面对黄仁勋 “建先进制程芯片厂极难” 的质疑，马斯克态度坚决，2026 年计划投入 200 亿美元资本支出，甚至表示 “若芯片过量供应，可部署至数据中心”。Dojo 之死：战略转向下的必然取舍AI5 的崛起，伴随着另一项核心项目的落幕。2019 年马斯克公开的 Dojo 超级计算机，曾被寄予厚望 —— 由传奇架构师 Pete Bannon 主导，核心是自研 D1 芯片，25 颗 D1 封装成训练模块，3000 颗组成 ExaPOD，算力达 1.1 ExaFLOPS。但这一激进架构的工程复杂度被严重低估：D1 无外接内存导致早期利用率仅 4%，2022 年测试时功耗超标引发变电站跳闸，量产计划一再推迟。2024 年马斯克态度转变，称 Dojo 是 “低概率成功的豪赌”，同年特斯拉部署 50000 块英伟达 H100，全面转向主流方案。2025 年 7 月财报会提及的 Dojo 2，两周后便被曝项目关停，Bannon 带领 20 名核心工程师离职创办 DensityAI。马斯克随后确认：“AI6 已收敛为统一架构，既能推理也能训练，同时开发两套芯片架构无意义”。Dojo 作为专用训练芯片，最终成为 “进化死胡同”，而多颗 AI6 组成的集群将替代其功能，过剩的 AI5 也将部署至数据中心，与英伟达 H100 配合分担推理任务。最后一代车载平台：特斯拉的战略迁移马斯克将 AI5 定义为 “最后一代专门为汽车设计的计算平台”，背后是特斯拉从 “造车” 到 “造机器人” 的战略转向。AI5 不仅要支撑现有车辆的 FSD 升级，还要满足 Robotaxi 与 Optimus 的算力需求 ——2026 年 1 月，奥斯汀 32 辆 Model Y Robotaxi 已实现无安全员无人驾驶，6 月计划投产的 Cybercab 更是取消方向盘与踏板；Optimus 人形机器人进展迅猛，2025 年 12 月户外慢跑视频刷屏，马斯克甚至停产 Model S 和 Model X 腾出产线，目标 2025 年产 1 万台、2026 年产 5 万台，最终实现百万台年产能与 2 万美元单台成本。从 AI6 开始，设计重心将彻底转向 Optimus 与人形机器人，汽车将成为机器人芯片的 “副产品”，而 AI7 更是被马斯克定义为 “太空 AI”，将与 Starship 整合实现轨道计算。这意味着 AI5 不仅承载着当下业务的生死，更要为特斯拉的战略迁移铺路搭桥。未知的挑战：AI5 成败的关键在规模尽管 AI5 的参数与规划令人瞩目，但仍面临多重现实挑战。功耗方面，马斯克将预期从 700-800 瓦下调至 250 瓦，仍比 HW4 高出 50%，对整车与机器人的能耗控制构成考验；双代工策略下，三星与台积电的工艺差异需通过软件适配抹平，跨工艺一致性验证成本高、风险大；资本压力更是不容忽视，165 亿美元代工合同、TeraFab 建设与 200 亿美元年度资本支出，对现金流形成持续消耗。最大的不确定性来自需求端。马斯克 2019 年预测 2020 年 100 万辆 Robotaxi 上路，最终仅实现数十辆规模；Optimus 的百万台产能目标，目前仍停留在数百台部署量级。AI5 的参数再强大，若 Robotaxi 与 Optimus 未能按预期放量，“过量供应” 将转化为库存与折旧，数百亿美元产能可能沉淀。马斯克说 AI5 关乎特斯拉存亡，这并非危言耸听。这颗集十年芯片研发经验、165 亿美元豪赌、战略方向迁移于一身的 “怪兽级” 芯片，最终成败不取决于参数高低，而在于能否等到规模化需求的真正到来。特斯拉的未来，正悬于这颗芯片之上。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"2","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}