Deepsquare use cases ai
AI and its subset such as Machine Learning and deep learning augment HPC to achieve results faster. Since AI models require everytime more and more computing power, using parallel computing and modern accelerators, HPC is a major enabler of growth. The application of AI with HPC can help us solve some of the world’s most complex problems. Making use of these improvements involves intense computing tasks, best carried out with specialized High Performance Computing clusters. High Performance Computing is solving many of the world’s most complex problems today from training AI for autonomous vehicles, smart cities, predicting the climate, to developing new treatments and vaccines for illnesses.Being able to train AI on HPC enables businesses, and research facilities, to leverage the power of the two technologies. The result is faster development of AI Models with flexible scalability, robust performance, and reduced cost.An AI company is able to deploy an end-to-end Machine learning solution from training to deployment.

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