Centros de datos de IA enfrentan crecientes desafíos de energía y agua

The surge in AI workloads is driving rapid expansion of data centers that rely heavily on GPUs, which consume far more power and generate far more heat than traditional CPUs. This growth is straining electricity supplies and dramatically increasing water use for cooling. Industry leaders are exploring liquid‑cooling, micro‑fluidic chips, free‑cooling, and geothermal options, while experts call for greater transparency, smarter hardware design, and more efficient model use to curb the environmental impact. Leer más