At Tech World @ CES 2026 in Las Vegas, Lenovo announced the launch of the Lenovo AI Cloud Gigafactory program in collaboration with NVIDIA, aimed at accelerating the deployment of large-scale AI infrastructure for cloud and enterprise customers. The initiative is designed to help AI cloud providers and enterprises bring next-generation AI workloads into production more quickly. As AI models grow in size and complexity, demand has increased for infrastructure capable of supporting trillion-parameter models, agent-based AI systems, and high-performance computing applications.
The program combines Lenovo’s liquid-cooling technology, global manufacturing footprint, and lifecycle services with NVIDIA’s accelerated computing platforms and networking technologies. Together, the companies aim to reduce the time required to deploy gigawatt-scale AI infrastructure, enabling faster transition from development to production.
Lenovo Chairman and CEO Yuanqing Yang said the program addresses a growing industry need to translate AI investment into operational outcomes more efficiently. He noted that standardized designs, industrialized build processes, and integrated services are key to reducing deployment timelines.
NVIDIA Founder and CEO Jensen Huang said AI factories are becoming foundational infrastructure for modern economies, supporting applications across cloud, data centers, and edge environments. He added that the collaboration with Lenovo delivers full-stack computing platforms tailored for large-scale AI deployment.
The program will support NVIDIA’s latest computing architectures, including Blackwell Ultra and future Rubin-based systems, integrated into rack-scale, liquid-cooled platforms. Lenovo’s Hybrid AI Factory Services will provide end-to-end support, covering design, deployment, and long-term operations.
Lenovo currently supports a large share of the world’s public cloud providers and offers in-house design, manufacturing, and global services for custom AI solutions. The company said the new program shortens the path from infrastructure investment to practical AI use across industries.
