This is the future of AI Clouds: Lenovo, NVIDIA launch Gigafactory at CES

Announcing the initiative during his keynote, Lenovo Chairman and CEO Yuanqing Yang, joined by NVIDIA founder and CEO Jensen Huang, introduced the gigawatt-scale AI factory program as a major advancement designed to help AI cloud providers bring next-generation AI workloads and applications online faster—moving customers from development to production at unprecedented scale.

“In the AI era, value is no longer measured by compute alone, but by how quickly it delivers results,” Yang said. “Together, Lenovo and NVIDIA are pushing the boundaries of AI factories to the gigawatt level, simplifying the deployment of cloud-scale infrastructure that moves AI intelligence into production faster, with greater efficiency and predictability.”

He added that powered by Lenovo’s industry-leading Neptune liquid-cooling technology, global manufacturing capabilities, and end-to-end services, the Lenovo AI Cloud Gigafactory with NVIDIA sets a new benchmark for scalable AI factory design, enabling advanced AI environments to be deployed in record time.

As enterprise AI workloads grow in size and complexity, cloud providers are increasingly required to build gigawatt-scale AI factories capable of supporting trillion-parameter agentic AI, physical AI, and high-performance computing (HPC) applications. A key performance metric, time to first token (TTFT), has emerged as a critical benchmark, measuring how quickly AI investments translate into production-ready outcomes.

The new program enables AI cloud providers to achieve TTFT in weeks by accelerating deployment through ready-to-use components, expert guidance, and industrialized build processes. This allows providers to deliver customized, revenue-generating AI solutions to enterprises at record speed and scale.

Through an integrated framework of solutions, services, and manufacturing, AI cloud providers can move rapidly from concept to deployment and monetization using Lenovo Neptune™ liquid-cooled hybrid AI infrastructure, NVIDIA accelerated computing platforms, Lenovo’s global manufacturing footprint, and full-lifecycle Lenovo Hybrid AI Factory Services.

“As AI transforms every industry, companies in every country will build or rent AI factories to produce intelligence,” Huang said. “Together, NVIDIA and Lenovo are delivering full-stack computing platforms that power agentic AI systems—from the cloud and on-premises data centers to the edge and robotic systems.”

The Lenovo AI Cloud Gigafactory with NVIDIA also provides early access to NVIDIA Blackwell Ultra architecture, enabling AI cloud providers to meet rising demand for sovereign, secure, and specialized AI workloads. This includes support for the NVIDIA GB300 NVL72 system from Lenovo, featuring a fully liquid-cooled, rack-scale architecture integrating 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs.

Additionally, the program will support the newly announced NVIDIA Vera Rubin NVL72 system, designed for AI training and inference. The platform combines 72 Rubin GPUs, 36 Vera CPUs, ConnectX-9 SuperNICs, BlueField-4 DPUs, and Spectrum-X Ethernet, along with advanced networking enabled by NVIDIA Spectrum-6 Ethernet and NVIDIA Photonics Ethernet switches.

Beyond optimized design and deployment, Lenovo Hybrid AI Factory Services offer full-lifecycle capabilities that reduce setup time while enabling long-term differentiation with greater efficiency and confidence. AI-native platforms and Lenovo AI Library use cases—integrated with NVIDIA AI Enterprise and open Nemotron models—further simplify the delivery of specialized AI workloads at scale.

Lenovo currently powers eight of the world’s top ten public cloud providers and is the only company offering fully in-house design, manufacturing, integration, and global services for custom AI cloud solutions. By combining NVIDIA’s accelerated computing with Lenovo’s liquid-cooling expertise and global reach, the partnership enables faster, reliable deployment of AI factories at scale.

The result is a significantly shorter path from AI investment to real-world outcomes, helping organizations move AI into the core of their business operations more quickly and effectively.