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The use of large language models and other AI tools, such as digital twins and extended reality, require a significant amount of computing resources, particularly GPUs. As AI becomes more mainstream, organizations must carefully consider when and how to use GPUs in their datacenters. Despite the recent hype, GPUs have been used in datacenters for over a decade for tasks such as scientific research, deep learning, and machine vision. However, the release of new GenAI frameworks has brought about a significant change in the use of GPUs in datacenters.
