RFP UW Tower Data Center Power work for AI

The University of Washington has issued a Request for Proposal (RFP) for electrical work at the UW Tower Data Center, specifically focusing on power configuration reconfiguration for AI infrastructure in Rooms 219 and 220. The project involves complex electrical circuit modifications, including branch circuit moves, adds, and deletions from Remote Power Panels (RPPs) to server racks, with a two-phase approach that includes procurement and installation of breakers, wire, conduit, receptacles, wire labels, mounting hardware, permits, and comprehensive documentation. Contractor selection will be based on four key evaluation criteria: previous data center work experience (15%), team qualifications (20%), pricing (50%), and project schedule performance (15%). The RFP was released on 3/11/25, with a site walk-through scheduled for 3/20/25, and proposal submissions due on 4/4/25 at 11:59 PM PST. The project's primary objectives include optimizing power distribution and load balancing, with potential for adding up to 15 new 10 kW cabinets after reconfiguring existing circuits, and the current total measured load in Room 220 is 575 kW.

The University has established voluntary participation goals for Minority and Women's Business Enterprises (MWBE), with targets of 6% for Minority Business Enterprises and 4% for Women's Business Enterprises, along with a 15% U.S. Small Business participation goal. The contract opportunity is open to qualified contractors with demonstrated experience in data center electrical work, with preference given to businesses meeting these diversity and small business criteria. The project's funding is contingent on the continued availability of state or federal funding, which may impact contract award and execution. While specific budget ranges are not explicitly detailed, the complexity of the electrical reconfiguration and potential for infrastructure expansion suggest a significant investment. Contractors interested in this opportunity must demonstrate technical expertise, financial stability, and the capability to execute a multi-phase project with precise electrical infrastructure modifications for advanced computational needs.