Lambda is expanding its U.S. data center footprint with plans to convert a vacant 2009-built facility in Kansas City, Missouri, into a large-scale AI factory. The site, expected to come online in early 2026, will launch with 24 MW of power capacity and room to scale beyond 100 MW. The project will feature more than 10,000 NVIDIA Blackwell Ultra GPUs at launch, doubling over time, with capacity dedicated to a single Lambda customer under a multi-year agreement.
The facility marks a key milestone in Lambda’s mission to build the “infrastructure backbone for the Superintelligence era.” The company, based in San Francisco, will act as sole tenant and operator of the Kansas City site, emphasizing rapid deployment and efficient reuse of existing infrastructure. The retrofit leverages preexisting power and building assets, transforming a dormant data center into a high-density compute hub optimized for large-scale AI training and inference workloads.
The project was supported by a coalition of Missouri state and regional partners, including the Missouri Partnership, Kansas City Area Development Council (KCADC), and Evergy. “Our Kansas City development perfectly embodies Lambda’s strategy: a prime location for our customers, an accelerated deployment timeline, and an unwavering commitment to on-time delivery,” said Ken Patchett, VP of Datacenter Infrastructure at Lambda.
• Site capacity: 24 MW at launch, scalable to 100+ MW
• GPUs: 10,000+ NVIDIA Blackwell Ultra GPUs (doubling over time)
• Launch: Early 2026
• Location: Kansas City, Missouri
• Use: Dedicated AI factory for large-scale training and inference
• Partners: Missouri DED, Missouri Partnership, KCADC, Port KC, Evergy, Spire, Russell, Henderson Engineers, U.S. Engineering, and Capital Electric
🌐 Analysis: Lambda’s move underscores a broader shift toward regional AI factory buildouts beyond traditional hyperscaler zones, tapping available power and real estate in the Midwest. This Kansas City investment mirrors parallel initiatives by companies such as CoreWeave and Crusoe, who are targeting secondary U.S. markets for rapid GPU deployment. The project also positions Missouri as an emerging hub for high-density AI infrastructure development.
