联想、英伟达干了件大事

Core Viewpoint - The dialogue between Lenovo's CEO Yang Yuanqing and NVIDIA's CEO Jensen Huang at CES 2026 highlights a significant collaboration aimed at advancing AI technology through the establishment of the "Lenovo AI Cloud Super Factory," which is expected to enhance AI deployment efficiency and scalability [1][6]. Group 1: Collaboration and Technology - Lenovo and NVIDIA are collaborating to create the "Lenovo AI Cloud Super Factory," which aims to support cloud service providers by significantly reducing the "time to first token" for AI deployment and scaling up to 100,000 GPUs [1][6]. - NVIDIA's latest platform, Vera Rubin, will play a crucial role in this collaboration, providing robust support for advanced AI training and inference systems [1][6]. - The partnership is positioned as a transformative step in making AI more accessible and practical for various applications, moving from cloud-based solutions to real-world usage [2][6]. Group 2: AI Strategy and Insights - Yang Yuanqing emphasizes the need for a hybrid approach to AI, combining personal, enterprise, and public intelligence to meet diverse user needs, moving beyond generic models [4][9]. - The concept of "Hybrid AI" aims to create tailored intelligent solutions that address the specific requirements of individuals and businesses, ensuring data privacy and security [4][9]. - The collaboration seeks to address the challenges of high inference costs and data privacy concerns that have hindered the widespread adoption of AI technologies [4][10]. Group 3: Infrastructure and Future Outlook - The "Lenovo AI Cloud Super Factory" is designed to industrialize AI infrastructure, making performance predictable and deployment manageable, which is essential as AI evolves to understand complex environments [6][10]. - Lenovo's capabilities in design, manufacturing, and global deployment will complement NVIDIA's expertise in chip and acceleration platforms, enhancing the overall effectiveness of the AI solutions [7][10]. - The partnership is expected to quadruple in scale over the next two years, indicating strong growth potential in the AI infrastructure market [7].