This session explores the chip-to-grid approach and its impact on AI deployment in the white space. Marcus will examine the evolution of AI chips and GPU architectures, highlighting their demand for greater compute power and advanced cooling technologies. Attendees will gain insights into how these trends affect rack infrastructure—from innovative rack designs to high-efficiency cooling solutions—and why seamless data transfer is critical for AI training and inference. Marcus will also share forward-looking strategies for future architectures, cluster networking, and achieving rack power densities of up to 1MW. Eaton will complement this discussion by showcasing solutions for high-power requirements in the white space, including AC/DC power innovations and the latest Side Car rack designs.