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Framework for Efficient Training and Inference of Large-Scale Recommender Models on GPUs

Product DescriptionExplore a highly efficient GPU-accelerated framework designed for training and inferring large-scale deep learning recommender models. Known for its speed and user-friendliness, it excels in benchmarks such as MLPerf. It offers comprehensive documentation and tools aimed at data scientists, allowing practical deployment of extensive recommender models with domain-specific features. Features include a high-level Python interface, parallel training, and optimized GPU workflows, catering to professionals seeking advanced machine learning capabilities.
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