Generative AI has created a surge in demand for large-scale clusters of GPUs. AI models need training, and this is vastly accelerated by using GPUs. These clusters parallel process many mathematical functions within the neural network software architectures that enable generative AI to classify and predict (see How generative AI learns and creates using GPUs).
However, clusters of this size are expensive and require customized data center infrastructure and highly skilled staff for installation and management. They are not easily procured or installed today, with supply chain issues further affecting their accessibility.
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