NVIDIA MERLIN
NVIDIA Merlin™ is an open-source framework for building high-performing recommender systems at scale.
Designed for Recommender Workflows
Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, and inference challenges. Each component of the Merlin pipeline is optimized to support hundreds of terabytes of data, all accessible through easy-to-use APIs. With Merlin, better predictions and increased click-through rates are within reach.
An End-to-End Referential Architecture
NVIDIA Merlin accelerates the entire pipeline, from ingesting and training to deploying GPU-accelerated recommender systems. Merlin's open-source components simplify building and deploying a production-quality pipeline.
NVTabular
Merlin NVTabular is a feature engineering and preprocessing library designed to effectively manipulate terabytes of recommender system datasets and significantly reduce data preparation time.
HugeCTR
Merlin HugeCTR is a deep neural network training framework designed for recommender systems. It provides distributed training with model-parallel embedding tables and data-parallel neural networks across multiple GPUs and nodes for maximum performance.
Try it today:
TensorRT and Triton
Take advantage of NVIDIA Triton™ Inference Server and NVIDIA® TensorRT™ to run inference efficiently on GPUs by maximizing throughput with the right combination of latency and GPU utilization.
Try it today:
Resources
Accelerate Recommenders on NVIDIA GPUs
Learn about the recommender system training pipeline, the technical advantages of NVTabular, benchmarking results, and how to get started.
Merlin Technical Resource Kit
Learn how to accelerate the entire pipeline, from ingesting and training to deploying GPU-accelerated recommender systems.
NVIDIA Deep Learning Institute (DLI)
Register for this DLI workshop to learn the fundamental tools and techniques for building highly effective recommender systems.
Merlin Reference Applications
Get started with open-source reference implementations and achieve state-of-the-art accuracy on public datasets with up to 10X the acceleration.
WIDE AND DEEP IN TENSORFLOW
Take this survey to share some information about your recommender pipeline and influence the NVIDIA Merlin roadmap.