下一步的核心举措，是将公有云上的前沿AI模型，与运行在企业服务器上的定制化开源系统相融合。
但最终目标指向物理世界：“将智能从云端推向工业 AI、工厂与机器人领域。”
『上次我们交谈时，生成式 AI 才刚刚起步，而如今，文本、图像、视频都已经实现了多模态融合。一方面，生成式 AI 已演变为一个功能强大、效果卓越的工具；另一方面，智能体 AI（Agentic AI）也取得了惊人进展，它不仅能解决问题、进行推理，还能基于事实行动，使诸多不可能变为可能。
The last time we were talking, generative AI was just starting to happen. But now text, images, videos, they're all multimodal. So between generative AI evolving into this great, excellent tool and incredible fidelity in agentic AI, being able to solve problems and reason and being grounded in facts. And so AI has really revolutionized what is possible.
但接下来的两大发展方向，同样令人振奋。首先，你现在可以将公有云上的前沿大模型与你自己构建的定制化开源模型融合起来，打造属于你的智能体系统。这套系统需要运行在企业级服务器上——而这正是你们企业在市场拓展和企业服务方面展现卓越能力的关键领域。英伟达的技术已与联想深度整合，共同打造了一款基于 RTX Pro 的联想企业级 AI 系统。我认为这是一款具有革命性的服务器，我迫不及待地想推出它，并将其大规模部署到各行各业的企业中。
But the next two journeys for us is every bit as exciting. And now you can fuse the agentic systems between the public cloud frontier models with your personal built, you know, your customized open source models. That system needs to run on an enterprise server. And this is an area where your enterprise go to market your enterprise excellence. Nvidia's technology, we fused it together into a Lenovo Enterprise AI system based on RTX Pro. And I think that's a revolutionary server. I can't wait to launch that and scale that out to the enterprise.
而再下一步，就是把所有这些 AI 能力全面注入全球各个产业：从 AI 超算中心、AI 云，到 AI 工厂、企业 AI、工业 AI，一直到机器人 AI。联想与英伟达正在这一整条价值链上紧密协作，覆盖从云端到边缘、从数据中心到物理世界的全场景。
The next, the next part after that is to take all of this and put it into the world's industries, supercomputers. AI clouds AI factories, enterprise AI, factory AI, well, industrial AI, all the way to robotics AI. Lenovo Nvidia is working across the entire spectrum. 』
AI的发展速度令人兴奋。AI在机器人领域的应用看起来像是终局，前景也最为广阔。
参考信源：
https://www.youtube.com/watch?v=U7cGRogbV58，油管，2026年1月3日，@lenovo
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