英伟达版OpenClaw有望解决其最大难题：安全。
内容总结：
英伟达CEO黄仁勋在GTC大会主题演讲中宣布，公司已推出企业级AI智能体平台NemoClaw，并呼吁所有企业制定“OpenClaw战略”。该平台基于开源框架OpenClaw构建，强化了企业级安全与隐私功能，旨在让企业通过单一指令即可安全部署可控的AI智能体。
黄仁勋将OpenClaw的战略意义类比为Linux、HTTP/HTML和Kubernetes，强调其将成为企业不可或缺的技术基础设施。NemoClaw支持调用各类编码智能体与开源AI模型（包括英伟达自研的NemoTron系列），兼容多硬件环境，并可实现云端模型本地化部署。
目前该平台处于早期测试阶段，英伟达表示将持续优化至生产就绪状态。随着OpenAI等企业相继布局企业级AI智能体平台，行业竞争日趋激烈，英伟达此次入局进一步凸显了该赛道的战略重要性。
中文翻译：
英伟达首席执行官黄仁勋认为，每家公司都应该制定OpenClaw战略，而英伟达正致力于为此提供支持。
黄仁勋在周一的GTC主题演讲中宣布，英伟达已开发出企业级AI智能体平台NemoClaw。该平台基于OpenClaw构建——后者是一个流行的开源框架，支持企业在自有硬件上本地构建和运行AI智能体。
据英伟达介绍，这一全新开源平台本质上是内置企业级安全与隐私功能的OpenClaw，旨在将其转化为企业可通过单一指令调用的安全平台，从而让企业能够控制智能体的行为模式与数据处理方式。
"对于CEO们而言，现在的问题是：你们的OpenClaw战略是什么？"黄仁勋在演讲中强调，"我们需要这个战略。就像我们都曾制定Linux战略，都曾制定开启互联网时代的HTTP/HTML战略，都曾制定推动移动云实现的Kubernetes战略那样，如今全球每家公司都需要制定OpenClaw战略，也就是自主智能体系统战略。"
黄仁勋透露，英伟达与OpenClaw创始人彼得·斯坦伯格合作开发了NemoClaw平台。
正式发布后，NemoClaw用户将能调用任何编程智能体或开源AI模型（包括英伟达的NemoTron开放模型）来构建和部署AI智能体。该平台支持用户在本地设备访问云端模型，具备硬件无关性——无需依赖英伟达自家GPU运行，并能与英伟达AI智能体软件套件NeMo实现集成。
目前英伟达将NemoClaw定位为早期Alpha版本，在其官网面向开发者的说明中指出："预期会存在不完善之处。我们正朝着生产级沙箱编排方向构建，但当前首要目标是让用户能够搭建并运行自己的环境。"
构建企业级AI智能体平台已成为近几个月AI领域的热点趋势。OpenAI于今年2月推出企业AI智能体构建管理开放平台Frontier；全球研究机构高德纳去年12月发布报告，指出AI智能体治理平台将成为企业采用AI技术的关键基础设施。英伟达显然准确把握了这一行业动向。
"OpenClaw在恰当时机为行业提供了亟需的解决方案，"黄仁勋总结道，"正如Linux在历史节点满足行业需求，正如Kubernetes在关键时刻出现，正如HTML的横空出世——它使整个行业能够依托这套开源技术栈开拓创新。"
英文来源：
Nvidia CEO Jensen Huang thinks every company should have an OpenClaw strategy. And Nvidia is here to provide it.
Nvidia has developed NemoClaw, an enterprise-grade AI agent platform, Huang announced during his GTC keynote on Monday. The platform is built on top of OpenClaw, the popular open-source framework for building and running AI agents locally on a company’s own hardware.
The new open source platform is essentially OpenClaw with enterprise-grade security and privacy features baked in. The idea is to turn OpenClaw into a secure platform that enterprises can tap into with one command, giving them control over how agents behave and handle data, according to Nvidia.
“For the CEOs, the question is, what’s your OpenClaw strategy?” Huang said onstage. “We need it. We all have a Linux strategy. We all needed to have an HTTP HTML strategy, which started the internet. We all needed to have a Kubernetes strategy, which made it possible for mobile cloud to happen. Every company in the world today needs to have an OpenClaw strategy, an agentic systems strategy.”
Nvidia worked with OpenClaw’s creator Peter Steinberger to develop NemoClaw, Huang said.
Once released, NemoClaw users will be able to tap any coding agent or open-source AI model, including Nvidia’s NemoTron open models to build and deploy AI agents. The platform allows users to access cloud-based models on their local devices. The platform is hardware agnostic — it doesn’t need to run on Nvidia’s own GPUs — and integrates with NeMo, Nvidia’s AI agent software suite.
For now, Nvidia is describing NemoClaw as an early-stage alpha release. “Expect rough edges. We are building toward production-ready sandbox orchestration, but the starting point is getting your own environment up and running,” the company stated on its website in a note directed toward developers.
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Building enterprise AI agent platforms has become the du jour obsession of the AI space in recent months.
OpenAI launched Frontier, its open platform for enterprises to build and manage AI agents, in February. In December, global research firm Gartner released a report about how governance platforms for AI agents would be the crucial infrastructure needed for enterprises to adopt the AI tech. Nvidia clearly got the message.
“OpenClaw gave us, gave the industry exactly what it needed at exactly the time,” Huang said. “Just as Linux gave the industry exactly what it needed at exactly the time, just as Kubernetes showed up at exactly the right time, just as HTML showed up. It made it possible for the entire industry to grab on to this open source stack and go do something with it.”