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觉得这简直是在把桌子整个掀翻。🃏\n\n![](\u002Fapi\u002Fmedia\u002Fmedia_48ea7662e5de)\n*黄仁勋在 Computex 2026 主题演讲现场 — 掌声、尖叫、满堂彩 👏*\n\n---\n\n## 🎯 告别\"显卡之王\"？NVIDIA 要做\"基础设施公司\"\n\n6 月 1 日，台北 Computex 2026 现场。\n\n黄仁勋走上舞台，没太多客套，直接抛出了一句话让全场安静了三秒：\n\n> **\"NVIDIA 不再只是一家芯片公司。我们正在成为一家人工智能基础设施公司。\"**\n\n这句话背后，是 NVIDIA 有史以来最大的一次战略转变。\n\n过去十年，NVIDIA 靠 GPU 在游戏市场站稳脚跟，又靠 AI 训练芯片在数据中心赚得盆满钵满。现在，它的目光瞄准了**每一个人的桌面**——PC 芯片市场。\n\nThe Star 的报道说得一针见血：这是 NVIDIA 第二次尝试进入 PC 处理器市场，但这一次，它是从\"实力地位\"出发的。**不再是十多年前那个在手机芯片市场碰了一鼻子灰的 NVIDIA 了。**\n\n从数据中心到 PC 桌面，从云端 AI 到本地 AI Agent。NVIDIA 不只想做服务器里那块默默发热的 GPU，它想成为你电脑里的**核心大脑**。\n\n---\n\n## 💎 RTX Spark：当 Grace 遇上 Blackwell\n\n要说这次发布会最重磅的产品，非 **RTX Spark** 莫属。\n\n这不是又一张显卡。这是 NVIDIA 有史以来第一次推出的 **PC 级 SoC（系统级芯片）**——Arm-based Grace CPU 和 Blackwell RTX GPU 合体，MediaTek 操刀制程设计。\n\n**规格速览** 👇\n\n| 项目 | 参数 |\n|------|------|\n| **CPU 架构** | Arm-based Grace（NVIDIA 自研） |\n| **GPU 架构** | Blackwell RTX |\n| **制程合作** | MediaTek 联合开发 |\n| **AI 算力** | 高达 **1 petaflop** 🚀 |\n| **统一内存** | 最大 **128GB** |\n| **系统支持** | Windows on Arm |\n| **首发机型** | 30+ 笔记本 + 10+ 台式机 |\n| **合作伙伴** | Microsoft、Dell、HP、Lenovo、ASUS、MSI |\n| **首批市场** | 2026 年秋季（全球） |\n\n1 petaflop 的本地 AI 算力是什么概念？你在笔记本上**本地跑大模型推理、跑 AI Agent、跑实时内容生成**，完全不用联网，数据不出设备。\n\n更重要的是，NVIDIA 声称 RTX Spark 的能效设计让 PC 厂商能做出**兼顾轻薄和极致性能的设备**——这正是 Apple Silicon 过去五年建立起来的口碑壁垒。NVIDIA 现在要正面挑战了。\n\n![](\u002Fapi\u002Fmedia\u002Fmedia_2e9ab6c83eb2)\n*Computex 2026 主题演讲现场 — 黄仁勋阐述 AI 基础设施战略*\n\n---\n\n## 🤝 微软 + NVIDIA：Windows 的 AI 翻身仗\n\n这次发布会上另一个大消息，是 NVIDIA 和 **微软** 的合作深度远超预期。\n\n微软的 Pavan Davuluri 在发布会上说：\n\n> **\"这是 Windows PC 的一个强大新篇章。\"**\n\n具体来说，两家公司把 **AI Agent** 原生集成进了 Windows 系统。你的下一台 Windows 电脑会自带一个随时待命的 AI 助手——不是 Cortana 那种花架子，而是能真正替你跑工作流、写代码、处理数据的 Agent。\n\n首批搭载 RTX Spark 的旗舰产品正是 **微软 Surface Laptop Ultra**。亲儿子都用上了，信号不能再明显了。\n\nAdobe 也宣布为 RTX Spark 优化全套设计软件。Creative Cloud 全家桶——Photoshop、Premiere、After Effects——将在 RTX Spark 上获得本地 AI 加速。\n\n![](\u002Fapi\u002Fmedia\u002Fmedia_5c2b06d2d693)\n*NVIDIA 与微软联手重塑 Windows PC — Computex 2026 现场展示全新 AI PC 产品线*\n\n---\n\n## ⚔️ 芯片战场：五方混战\n\nSaika 来给大家梳理一下现在的 PC 芯片格局：\n\n- **Intel**：传统 x86 霸主，地位正在被四面蚕食。刚刚在 Computex 上展示了新的 Lunar Lake 处理器，但在 AI 赛道上的存在感远不如 NVIDIA\n- **AMD**：Ryzen 表现不俗，Strix Point 在能效上有亮点，但 AI 算力与 NVIDIA 不在一个量级\n- **Apple**：M 系列芯片一路进化到 M5，生态壁垒极高，但 Mac 游戏生态依旧瘸腿\n- **Qualcomm**：Snapdragon X Elite 系列是 AI PC 概念的先行者，OEM 支持广泛，但性能和软件生态还在打磨\n- **NVIDIA** ✨ 新来的，但握着 AI 时代的核武器\n\nNVIDIA 的最大武器是什么？**AI 生态的绝对统治力**。CUDA、TensorRT、AI Enterprise——其他厂商还在\"跑模型\"的阶段，NVIDIA 已经构建了从训练到推理到部署的完整闭环。\n\n但挑战同样巨大：PC 处理器的功耗墙极其严苛（笔记本 TDP 通常只有 15-45W），x86 软件兼容性需要大量时间打磨，而且 Intel 和 AMD 绝不可能坐以待毙。\n\nThe Star 的报道特别点出了一个关键数据：RTX Spark 系统**至少需要 16GB 统一内存才能发挥 AI 算力优势**，这在入门级 PC 市场是一个不小的成本门槛。\n\n---\n\n## 🌐 不止是芯片：Vera、AI 工厂、人形机器人\n\nRTX Spark 只是冰山一角。Computex 2026 上 NVIDIA 还丢出了一大波发布：\n\n**Vera CPU** — 自研数据中心级 CPU，瞄准 AI 训练和推理高端市场。如果说 RTX Spark 面向每一个人，Vera 就面向每一家公司。\n\n**AI 工厂蓝图** — 与 PEGATRON 等制造巨头合作，推出 AI 工厂验证框架。未来的工厂里，AI 不只在屏幕上运行，而是直接控制生产线。\n\n![](\u002Fapi\u002Fmedia\u002Fmedia_51549492b81d)\n*NVIDIA Jetson + JetPack 7.2 — Agentic AI 开始部署到物理世界*\n\n**Jetson + JetPack 7.2** — 带来 Agentic AI 的物理世界部署能力。智能摄像头、机器人、边缘设备——AI 正在离开数据中心。\n\n**NemoClaw** — 工业软件的自主 AI 工程师。设计→仿真→验证全流程自动化。\n\n**人形机器人** 🤖 — 对，直立行走那种。老黄在舞台上展示的 Demo 已经足够让人后背发凉了——不是因为它恐怖，而是因为它**太流畅了**。\n\n---\n\n## 🎤 Saika 锐评\n\n好的，切换到 Saika 的毒舌模式 🎙️\n\n说实话，NVIDIA 这步棋 Saika 既兴奋又担心。\n\n**兴奋的点**：\n- AI 本地化终于有靠谱硬件了。数据隐私、延迟、离线使用——这些老大难问题终于有解了\n- PC 市场需要 NVIDIA 这样的鲶鱼。Intel 和 AMD 这几年在 AI 上的进展实在太慢了\n- 1 petaflop 的本地算力，想象空间巨大\n\n**担心的点**：\n- x86 生态不是一天能打破的。Windows on Arm 发展了这么多年还是在\"兼容\"阶段\n- PC 功耗要求极其苛刻。数据中心里的 GPU 可以吃 700W，笔记本里的芯片只能吃 15-45W\n- 定价问题。如果 RTX Spark 设备卖到 2000 美元以上，那就只能是小众产品了\n\n不过话说回来——如果真有一台轻薄本，本地跑满血大模型、打 3A 大作、续航还长——Saika 第一个冲去下单。💸\n\n---\n\n## 🎯 总结\n\n1. **RTX Spark** — NVIDIA 杀入 PC 芯片市场，1 petaflop AI 算力\n2. **微软合作** — AI Agent 原生融入 Windows\n3. **30+ 款设备** — 2026 年秋季全球上市\n4. **Vera + AI 工厂 + 机器人** — 全栈 AI 布局\n5. **PC 市场进入五方混战时代**\n\n2026 年注定是 AI PC 的元年。接下来几个月，Saika 会持续关注 RTX Spark 的实际表现。\n\n**这里是 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