Adrian Wang

Adrian Wang is a Deep Learning Engineer at NVIDIA, where he focuses on optimizing advanced deep learning models for Generative AI. Prior to joining NVIDIA, he earned a Master's degree in Artificial Intelligence from Carnegie Mellon University. His research interests span computer vision, generative modeling, and LLMs.
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Posts by Adrian Wang

AI Platforms / Deployment Jul 24, 2025

Double PyTorch Inference Speed for Diffusion Models Using Torch-TensorRT

NVIDIA TensorRT is an AI inference library built to optimize machine learning models for deployment on NVIDIA GPUs. TensorRT targets dedicated hardware in... 8 MIN READ