The AI industry’s increased demand, primarily from the massive building and expansion of data centers, is the primary cause of the current global RAM shortage. The production of DRAM and NAND chips is being absorbed more by AI requirements than by the consumer market because large AI data centers require incredibly high memory capacity. RAM for PCs, laptops, and consumer electronics is in limited supply as an outcome during this situation and prices have increased significantly.
The use of AItechnology puts a great deal of strain on the environment in addition to supply and cost. AI workloads are predicted to account for over 50% of data center energy consumption by 2028, according to industry research and reports. As this technology develops, water consumption for cooling and electronic waste (e-waste) will also continue to rise enormously.
Usage of significant amounts of water for system cooling and the demand on the supply of minerals and other raw materials for the manufacture of hardware are additional specific ecological effects. For ecosystems and communities surrounding high-tech facilities, reliance on these resources presents significant sustainability challenges.
RAM supply and limited resources point out the need for achieving a balance among technological innovation and good environmental management. The quick development of AI and computing infrastructure may contribute to carbon emissions, water consumption, and electronic waste in lack of a sustainability strategy, which could ultimately impact global ecosystems and quality of life.
AI and data center growth is increasing energy consumption, emissions, and environmental pressure. Greenwise is able to help companies manage these impacts through emissions calculations, decarbonization roadmaps, environmental impact assessments (AMDAL/ESIA), and life-cycle assessments to ensure sustainable technological transformation.
