- Meta's latest AI/ML rack design, Catalina (GB200), Meta's latest AI system features a compute tray that serves as the primary CPU+GPU components. To expedite time-to-market, we leveraged industry solutions while implementing targeted customizations to optimize integration within Meta's infrastructure. - The increasing power density of AI hardware poses significant challenges, including the need for liquid cooling, which introduces complexities in leak detection, system response, reliability, and safety. With multiple hardware platforms in rapid development, there is a pressing need for adaptable hardware that can manage these new interfaces and controls. - Our solution, the RMC (Rack Management Controller) tray, addresses these challenges by providing a 1OU device that handles all leak detection and hardware response to leaks. The RMC offers flexible integration into upcoming AI platforms and interfaces with various systems, including Air-Assisted Liquid Cooling (AALC), Facility Liquid Cooling (FLC), and all leak sensors. The RMC provides a robust and reliable solution for managing liquid cooling across Meta’s multiple platforms.
