Invited talk

Modeling Energy Efficient Two-Phase Heat Transfer System

Abstract

Exponential growth of AI workloads is driving the need for high performance chip packages that cannot be thermally managed by energy- and water-intensive chilled air-cooling solutions implemented in Data Centers today. A two-phase heat transfer system, that utilizes the liquid to vapor phase conversion of a working fluid for transferring the heat to the ambient environment, can provide energy-efficient thermal management of high-performance AI systems while eliminating water consumption and maintaining system reliability in any geographical location. This short tutorial will describe the exemplar computationally manageable high-fidelity components- as well as system-level models that are necessary for the assessment and development of such a cooling system.