Essential for maintaining optimal conditions for computer equipment and data. Explore cooling technologies, energy efficiency, airflow management, redundancy, monitoring, and emerging trends.
These new data centers are fundamentally different than the ones we were building just a few years ago, requiring different skills, materials, equipment, and plans.
As data centers deploy new computing infrastructure to meet the needs of AI, the industry is awakening to the realization that the current grid may not be equipped to support growing requirements.
In many data centers, water-cooled chillers are paired with an open- or closed-circuit cooling tower for heat rejection. Other options include dry coolers, hybrid fluid coolers, and adiabatic fluid coolers.
As market demand for computing power increases (partly fueled by the virality of generative artificial intelligence), engineers are required to rethink data center design.
The recent and enthusiastic interest in two-phase, direct-to-chip cooling directly results from its dynamic ability to handle intense heat loads from high-power chips and its reliability compared to other liquid cooling methods.
Building owners, facility managers, and HVAC design engineers convince themselves that pharmaceutical and mission critical installations are very sophisticated and more complex than many health care applications and certainly more challenging to engineer, operate, and maintain than commercial buildings. But, that’s not the case.
Cal Poly in San Luis Obispo has the best-paying and most employable bachelor’s degree for an AI career, with a $181,838 salary four years after graduation.