Nvidia will invest up to $3.2 billion [1] in Corning Inc. to build three new advanced-manufacturing plants in the U.S. [2].
The investment aims to secure the physical infrastructure necessary to support the rapid growth of artificial intelligence. By expanding the production of optical technologies, the companies intend to reduce bottlenecks in data-center connectivity and strengthen the domestic supply chain for AI hardware.
The new facilities will be located in North Carolina and Texas [3]. This expansion is designed to meet the surging demand for AI data centers and improve the overall resilience of U.S. AI infrastructure [4, 5].
According to a company statement, the deal will expand Corning's U.S.-based optical connectivity manufacturing capacity tenfold [6]. This growth is expected to boost domestic fiber production by more than 50 percent [7].
Beyond the technical capacity, the project is expected to create thousands of jobs [8]. The multi-year partnership focuses on supplying the next generation of optical components required for high-speed data transmission between AI chips.
Nvidia said the investment is a strategic move to ensure that the physical layer of the internet can keep pace with the computational power of its GPUs. The collaboration focuses specifically on optical technologies that allow data to move more efficiently across vast networks of servers.
“The deal will expand Corning's U.S.-based optical connectivity manufacturing capacity tenfold.”
This partnership signals a shift in AI development from a primary focus on chip architecture to the physical infrastructure that connects them. As AI models grow, the 'interconnect'—how chips communicate via fiber optics—becomes a critical performance bottleneck. By investing directly in manufacturing, Nvidia is vertically integrating its supply chain to ensure that hardware availability does not throttle the deployment of its AI ecosystems.
