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As industries race to find a competitive advantage – any edge to beat out the competition – AI and machine learning have emerged as key strategic tools– but one of the greatest weaknesses of AI and specifically, autonomous machine learning, is a lack of affordable computing power. Large technology companies often spend millions on warehouses filled with servers to achieve more power. These “server farms” often cost millions more when companies must add in the additional expenses of providing energy, cooling, technicians, upgrades, etc. And according to industry experts, this will only get worse. According to AI Impacts, “the cost per unit of computation is decreasing by an order of magnitude every 4-12 years”, but, “the cost of the largest experiments is increasing by an order of magnitude every 1.1 – 1.4 years”.
