Supermicro's new 32.8-acre Silicon Valley campus will add hundreds of US positions and expand domestic production of AI infrastructure, signaling increased US capacity for enterprises and cloud providers worldwide. The expansion may affect global AI deployment timelines and supply-chain choices by boosting domestic system design, manufacturing, testing, and distribution capabilities.
Supermicro announced on April 27 that it is establishing its largest US location near its San Jose headquarters, marking the company's fourth Bay Area site. The new campus spans approximately 32.8 acres and more than 714,000 square feet, bringing the regional footprint to nearly 4 million square feet.
The facilities will support system-level design, manufacturing, testing, service, and global distribution of Supermicro's Data Center Building Block Solutions (DCBBS) for AI infrastructure. The company said the integrated approach—from individual components to rack-scale systems—enables faster deployment, improved energy efficiency, and reduced total cost of ownership for next-generation data centers.
Charles Liang, president and CEO of Supermicro, framed the expansion as an investment in American manufacturing and innovation. He said the DCBBS campus "becomes our largest in the US, is a direct investment in American innovation and manufacturing leadership," and that growing the Silicon Valley footprint will "advance domestic innovation, solution value, and production capacity" while creating high-quality professional roles.
San Jose Mayor Matt Mahan described the expansion as strengthening the city's position in the global AI economy, saying it will accelerate next-generation AI infrastructure, create high-quality jobs, and drive local economic growth.
DCBBS, the company said, delivers modular AI infrastructure built from validated components and sub-systems, offering deployment flexibility from individual GPUs and switches to complete racks, site infrastructure, management software, and professional services.
Article edited by Jack Wu