End-to-End AI for NVIDIA-Based PCs: CUDA and TensorRT Execution Providers in ONNX Runtime – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Maximilian M��ller <![CDATA[End-to-End AI for NVIDIA-Based PCs: CUDA and TensorRT Execution Providers in ONNX Runtime]]> http://www.open-lab.net/blog/?p=60430 2023-06-12T07:55:55Z 2023-02-08T19:16:29Z 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...]]> 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...End-to-end AI series Part 4

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 are multiple execution providers (EPs) in ONNX Runtime that enable the use of hardware-specific features or optimizations for a given deployment scenario. This post covers the CUDA EP and TensorRT EP using the highly optimized NVIDIA��

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