For decades, CPUs have been the workhorse of the IT industry. Newer versions have added more processing power, but their basic architecture has remained unchanged. They still perform compute operations serially, completing one job before moving on to another. More recently, the introduction of GPUs has completely redefined what enterprises can accomplish with their compute hardware. Unlike CPUs, GPUs perform parallel operations. This helps them provide the very high throughput needed to process massive datasets. AI model training is one example of a data-driven use case that’s well-suited to run on GPUs. So much of the AI progress we’ve seen…

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