Maximilian Müller

Maximilian Müller is a developer technology engineer for Professional Visualization at NVIDIA. His passion for computer vision and deep learning helps external partners and internal teams to best leverage the performance of NVIDIA accelerators using CUDA. Before joining NVIDIA, he acquired an MSc in electrical and computational engineering at RWTH Aachen.
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Posts by Maximilian Müller

Decorative image of TensorRT workflow on a black background.
Edge Computing Jun 11, 2024

Maximum Performance and Minimum Footprint for AI Apps with NVIDIA TensorRT Weight-Stripped Engines

NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX... 8 MIN READ
Picture of flowers split between VMAF-CUDA at 1424 FPS and CPU at 1034 FPS.
Computer Vision / Video Analytics Mar 12, 2024

Calculating Video Quality Using NVIDIA GPUs and VMAF-CUDA

Video quality metrics are used to evaluate the fidelity of video content. They provide a consistent quantitative measurement to assess the performance of the... 14 MIN READ
Featured image of computer screens in stylized design.
Data Science Mar 15, 2023

End-to-End AI for NVIDIA-Based PCs: NVIDIA TensorRT Deployment

This post is the fifth in a series about optimizing end-to-end AI. NVIDIA TensorRT is a solution for speed-of-light inference deployment on NVIDIA hardware.... 10 MIN READ
End-to-end AI series Part 4
Content Creation / Rendering Feb 08, 2023

End-to-End AI for NVIDIA-Based PCs: CUDA and TensorRT Execution Providers in ONNX Runtime

This post is the fourth in a series about optimizing end-to-end AI. As explained in the previous post in the End-to-End AI for NVIDIA-Based PCs series, there... 9 MIN READ