Official Updated 08/11/2025 06:15 AM
Preface: While the Bible doesn’t specifically mention artificial intelligence, it reminds us that human knowledge and capabilities will increase dramatically in the last days (Daniel 12:4). Building and training neural networks is a cornerstone of modern artificial intelligence, enabling breakthroughs in fields such as computer vision, natural language processing, and robotics.
Background: NVIDIA Merlin Transformers4Rec is a Python library designed for building sequential and session-based recommender systems, leveraging the power of Transformer architectures, particularly for use with PyTorch. It is part of the broader NVIDIA Merlin ecosystem, which provides end-to-end GPU-accelerated solutions for recommender systems.
Transformers4Rec is pre-installed in the merlin-pytorch container that is available from the NVIDIA GPU Cloud (NGC) catalog.
NVIDIA Merlin PyTorch container, available on NVIDIA NGC (NVIDIA GPU Cloud), includes the necessary components for GPU acceleration, including the CUDA Toolkit.
The Merlin PyTorch container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch, and serve the trained model on Triton Inference Server.
Ref: NVTabular and RAPIDS (cuDF/cuML) for preprocessing and feature engineering.
Vulnerability details: NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
Official announcement: Please see the link for details