Good news! Human ingenuity handles challenges like this!
I blogged here recently not to worry very much about the energy consumption of ML & AI.
"AI’s thirst for energy is growing, but the technology also could help produce huge energy savings over the next five to 10 years, according to a recent report. ... The International Energy Agency (IEA) ... performed a comprehensive analysis of AI’s energy consumption including energy required to obtain critical materials needed for chips and data centers. ...
AI already makes energy generation, distribution, and use more efficient. The authors expect these savings to accelerate.
Existing AI algorithms predict energy generation and consumption. This makes it easier to integrate renewable energy sources into the grid, which reduces reliance on fossil fuels and cuts the resulting pollutants and greenhouse gases. ...
Widespread adoption of existing AI applications that streamline energy consumption in industry, transportation, and buildings ...
For example, scaling up existing AI optimization of heating, ventilation, and air-conditioning systems would save 300 TWh, about one-third of total energy used by data centers. ...
The energy costs of training, inference, and cooling hardware are expected to fall further thanks to trends in AI models (fewer parameters, more efficient algorithms, task-specific models) hardware (more energy-efficient chips, improved cooling methods), and usage (batch processing, running smaller models locally rather than in the cloud)."
AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works "Major new IEA report brings groundbreaking data and analysis to one of the most pressing and least understood energy issues today, exploring AI’s wide range of potential impacts"
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