AI 模型和平台
PATEO 在托尔车辆AI箱中部署Doubao和Nemotron
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2026年11月2日，PATEO 宣布在NVIDIA DRAVE AGX Thor的基础上，将NVIDIA Nemotron和ByteDance的350亿参数Doubao语言模型部署在一个AI Box中，将本地AI推论与agent平台结合用于车辆驾驶舱。
PATEO还从一名未命名的新能源汽车汽车制造商获得了新一代汽车的项目提名。 它预期在2027年第二季度为该方案进行大规模生产，使AI Box有一个确定的车辆方案，而生产仍然是未来的里程碑。 在Auto China 2026,PATEO 宣布与ByteDance联合开发溶液，并推出无名领先的新能源汽车自动制造器。
局部推论和卡宾 Agents
乘车套装使用NVIDIA Nemotron 3.5 ASR进行语音识别，并通过与ByteDance的合作，使用Doubao的混合专家语言模型。 文本转语音合成和单独的20亿参数语言模型用于语义分类，并请求拒绝环绕套件。
集成套件PATEO 称可以在没有云连接的情况下在当地运行推论，支持多语种语音交互和实时流语音识别。 这种设计在连接有限时保持核心AI功能，而连接的服务和云更新则扩展了系统的能力。
AI Agent平台结合语音，视觉和传感器输入来解释用户请求和机舱条件。 在车辆安全许可范围内，它可以援引机舱控制和在线服务，协调同时执行的任务，并管理较长运行的请求。 个人化互动的偏好和习惯内存需要用户授权。
主动特性和硬件设计
PATEO的例子显示agent超越问答语音控制。 哨兵AI可以识别和发布违章停车，洪水和火灾的警报。 驾驶员和乘客的气候设置可以通过语音指令或手势分别调整，而疲劳检测则可以提示在延长高速公路行驶期间打开一个窗口或激活座位按摩。 在空气质量差的地区，系统可以建议关闭windows，并根据位置和学习的驾驶习惯切换回循环。
硬件原理集中在这些相互作用累积时会发生什么。 PATEO将AI Box描述为连接感知，推理，执行和学习，内存能力和带宽在超过测量的峰值计算的同时重要。 随着对话的转折和agent动作在一次旅行中加入上下文，模型的密钥值缓存会增长并增加对内存的需求。 帕特奥称 Thor的加速计算和高内存带宽有助于支持响应的局部推论。
NVIDIA的边缘和云的AI生态系统支持模型的部署、调整和定制。 AI Box还可以添加专用的AI计算而无需替换车辆原来的主控制芯片。 这为现有的车辆提供了一个升级路径，这些车辆的处理器不能支持更大的模型、同时进行的多式联运互动以及仅通过软件更新而主动积极的agents。
AI框以外的服务战略
商业计划超越了出售硬件。 PATEO的车辆Tokenomics战略旨在围绕AI能力的部署和使用产生经常性收入，在最初的硬件交易中增加正在进行的服务和业务。
2026年6月，PATEO与Minninglamp Technology,Xunce Technology和Saimo Technology合作开发了一种以符号为基础的物理AI世界模型和TokenOS. 这项工作结合了端侧硬件，模拟测试和数据基础设施，为提供和运营AI服务奠定了基础。
PATEO也在汽车外应用平台。 它报告了来自一家无名国内主要机器人计算供应商的项目提名，创造了在物理-AI应用中重新使用其智能交互和硬件工程能力的机会。
对于AI Box来说，中心商业测试是将被提名的车辆程序转入生产，同时显示可重复使用的技术平台也可以支持Tokenomics所设想的经常性服务收入。
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AI Models & Platforms
PATEO Deploys Doubao and Nemotron in Thor-Based Vehicle AI Box
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PATEO announced on November 2, 2026 that it is deploying NVIDIA Nemotron and ByteDance’s 35-billion-parameter Doubao language model in an AI Box built on NVIDIA DRIVE AGX Thor, combining local AI inference with an agent platform for vehicle cockpits.
PATEO has also secured a project nomination from an unnamed leading new-energy vehicle automaker for a new-generation vehicle. It expects mass production for that program in the second quarter of 2027, giving the AI Box a defined vehicle program while production remains a future milestone. At Auto China 2026, PATEO announced joint development of the solution with ByteDance and an unnamed leading new-energy vehicle automaker.
Local Inference and Cabin Agents
The in-vehicle suite uses NVIDIA Nemotron 3.5 ASR for speech recognition and, through collaboration with ByteDance, Doubao’s mixture-of-experts language model. Text-to-speech synthesis and a separate 2-billion-parameter language model for semantic classification and request rejection round out the suite.
PATEO said the integrated suite can run inference locally without a cloud connection, supporting multilingual voice interaction and real-time streaming speech recognition. That design keeps core AI functions available when connectivity is limited, while connected services and cloud updates extend the system’s capabilities.
The AI Agent platform combines voice, visual and sensor inputs to interpret user requests and cabin conditions. Within vehicle safety permissions, it can invoke cabin controls and online services, coordinate concurrent tasks and manage longer-running requests. Preference and habit memory for personalized interactions requires user authorization.
Proactive Features and Hardware Design
PATEO’s examples show the agent moving beyond question-and-answer voice control. Sentinel AI can identify and issue alerts for parking violations, flooding and fire. Driver and passenger climate settings can be adjusted separately through voice commands or gestures, while fatigue detection can prompt suggestions to open a window or activate seat massage during extended highway driving. In areas with poor air quality, the system can suggest closing windows and switching to recirculation based on location and learned driving habits.
The hardware rationale centers on what happens as those interactions accumulate. PATEO describes the AI Box as connecting perception, reasoning, execution and learning, with memory capacity and bandwidth mattering alongside peak compute measured in TOPS. As conversation turns and agent actions add context during a trip, the model’s key-value cache grows and increases demands on memory. PATEO said Thor’s accelerated compute and high memory bandwidth help support responsive local inference.
Modular software and integration with vehicle systems and NVIDIA’s edge-and-cloud AI ecosystem support model deployment, tuning and customization across vehicle programs. The AI Box can also add dedicated AI computing without replacing a vehicle’s original main control chip. That offers an upgrade path for existing vehicles whose processors cannot support larger models, concurrent multimodal interactions and proactive agents through software updates alone.
A Services Strategy Beyond the AI Box
The business plan extends beyond selling the hardware. PATEO’s in-vehicle Tokenomics strategy aims to generate recurring revenue around the deployment and use of AI capabilities, adding ongoing services and operations to the initial hardware transaction.
In June 2026, PATEO partnered with Mininglamp Technology, Xunce Technology and Saimo Technology to develop a token-based physical-AI world model and TokenOS. That work combines on-device hardware, simulation testing and data infrastructure, creating a foundation for delivering and operating AI services.
PATEO is also applying the platform outside cars. It reported a project nomination from an unnamed leading domestic robotics computing provider, creating an opportunity to reuse its intelligent-interaction and hardware-engineering capabilities in physical-AI applications.
For the AI Box, the central commercial test is to move the nominated vehicle program into production while showing that a reusable technical platform can also support the recurring services revenue envisioned by Tokenomics.
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