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Cost-effective Deep Learning Infrastructure with NVIDIA GPU

Ghimire, Aatiz et al.
arXiv (All) · Papers
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and-cluster-computingdistributedhardware-architecturemachine-learningparallelsoftware-engineeringsystems-and-control
The growing demand for computational power is driven by advancements in deep learning, the increasing need for big data processing, and the requirements of scientific simulations for academic and research purposes. Developing countries like Nepal often struggle with the resources needed to invest in
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