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Why GPU-powered AI needs fast storage

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ADVERTORIAL: The process of training modern AI models can be incredibly resource-intensive – a single training run for a large language model can require weeks or months of high-performance compute, storage, and networking, even with the parallel processing capabilities of graphic processing units (GPUs). As a result, many organizations are expanding their compute, storage, and […]

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