Many operators feel pressure to adopt liquid cooling as GPUs push thermal limits, yet most existing shell, chiller, and facility water infrastructure is already compatible with a wide range of liquid cooling architectures. This means operators can often integrate immersion, single-phase, or two-phase systems with minimal disruption.

However, choosing the right approach requires careful evaluation of performance, risk, and long-term cost. Not all technologies can support rising heat flux, manage leak risks effectively, or maintain thermal uniformity under high-density AI and HPC workloads.

In this whitepaper, we:

• Outline key questions every operator should ask when assessing liquid cooling technologies
• Explore how factors such as heat flux capacity, TCO, leak risk, and fluid choice impact long-term reliability
• Highlight how teams can make confident, future-ready decisions as liquid cooling becomes essential for AI and HPC environments