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IBM scientists demonstrate 10x faster large-scale machine learning using GPUs
Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. Training a machine learning model on a terabyte-scale dataset is a common, difficult problem. Taking this theory and putting it into practice we have developed a new, re-useable component for training machine learning models on heterogeneous compute platforms. If one can train a machine learning model in one hour rather than 10 hours, this translates directly into a very large cost saving.
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