DLRM

Deep learning recommender systems often use large embedding tables. It can be difficult to fit them in GPU memory. This post shows you how to use a combination...

NVIDIA Merlin is an open beta application framework and ecosystem that enables the end-to-end development of recommender systems, from data preprocessing to...

The MLPerf consortium mission is to “build fair and useful benchmarks” to provide an unbiased training and inference performance reference for ML hardware,...

MLPerf is an industry-wide AI consortium that has developed a suite of performance benchmarks covering a range of leading AI workloads that are widely in use...

Recommender systems help people find what they’re looking for among an exponentially growing number of options. They are a critical component for driving user...