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Which processing units for AI does your organization require?

#artificialintelligenceOct-16-2021, 16:30:37 GMT

Equipping servers with GPUs has become one of the most common infrastructure approaches for AI. You can use the massively parallel architecture of a GPU chip to accelerate the bulk floating-point operations involved in processing AI models. GPUs also tend to have broad and mature software ecosystems. For example, Nvidia developed the CUDA toolkit so developers can use GPUs for a variety of purposes, including deep learning and analytics. However, although GPUs support certain deep learning tasks, they do not necessarily support all AI workloads.

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Industry: Information Technology (0.43)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.59)

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