Liquid cooling can support much higher rack densities, but installing the hardware is only the starting point. How cooling is managed once systems are up and running has a direct impact on water use, energy consumption, performance and cost. The challenge is that cooling demand rarely stays the same, particularly across facilities running different workloads, rack densities and cooling systems. This session looks at how orchestration software can use live operating data and predictive controls to match cooling more closely to demand, and where that can help operators reduce water use without limiting performance or capacity. This episode will discuss:
- Why water use, cooling performance, rack density and cost need to be considered together
- How changing workloads and operating conditions affect cooling demand
- Where real-time data and predictive controls can reduce unnecessary water and energy use
- How orchestration software can manage cooling across different systems and environments
