Intelligence Update
AI and cooling: methods and capacities
AI and cooling: Part 1
Compute infrastructures for training large AI models are similar to high-performance computing (HPC) systems, which have long been used for demanding tasks in fields such as engineering, scientific research and finance. Both AI and HPC workloads require the processing of large datasets and complex computations. These demands are met by using specialized hardware such as high-performance servers with GPUs and high-speed interconnects, which tend to be much denser than typical IT equipment, with corresponding challenges in thermal management.
Request an evaluation to view this report
Apply for a four-week evaluation of Uptime Intelligence; the leading source of research, insight and data-driven analysis focused on digital infrastructure.
Already have access? Log in here