Blog | AI & Financial Analysis Articles — ELECTE

Nov 29, 2025 · 7 minSustainability

Google DeepMind AI Cooling System: How Artificial Intelligence Revolutionizes Data Center Energy Efficiency

Google DeepMind achieves -40% data center cooling energy (but only -4% total consumption, since cooling is 10% of total)-accuracy 99.6% with 0.4% error on PUE 1.1 via 5-layer deep learning, 50 nodes, 19 input variables on 184,435 training samples (2 years data). Confirmed in 3 facilities: Singapore (first deployment 2016), Eemshaven, Council Bluffs ($5B investment). PUE Google fleet-wide 1.09 vs industry average 1.56-1.58. Model Predictive Control predicts temperature/pressure next hour by simultaneously managing IT loads, weather, equipment status. Guaranteed security: two-level verification, operators can always disable AI. Critical limitations: zero independent verification from audit firms/national labs, each data center requires custom model (8 years never commercialized). Implementation 6-18 months requires multidisciplinary team (data science, HVAC, facility management). Applicable beyond data centers: industrial facilities, hospitals, shopping centers, corporate offices. 2024-2025: Google transition to direct liquid cooling for TPU v5p, indicating practical limits AI optimization.Nov 29, 2025 · 11 minSustainability

Artificial Intelligence for the Environment: Innovations and Solutions 2025

Does AI really pollute that much? A Bristol study reveals: estimates were overestimated by up to 90 times. To process complex text, AI emits 130-1500 times less CO2 than a human. The potential? Reduce global emissions by 10% by 2030-equivalent to the entire EU. In Italy: 500 million for environmental monitoring with AI. The impact of data centers? By 2033, 90% will be powered by renewables. The real paradox is not using AI for climate.Nov 24, 2025 · 10 minSustainability

Green AI: The Sustainable Artificial Intelligence Revolution.

Training GPT-3 consumed enough energy to power 120 U.S. homes for a year-and GPUs went from 400W to 1,200W in two years. 4.4 percent of U.S. energy now goes to data centers, with projections to double by 2030. But Green AI offers a way out: specialized chips, edge computing (75% of data processed locally by 2025), and monitoring frameworks such as CodeCarbon. 2025 decides whether AI will be part of the climate problem or part of the solution.