RESTful Inference with the TensorRT Container and NVIDIA GPU Cloud – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-18T20:27:07Z http://www.open-lab.net/blog/feed/ Brad Nemire <![CDATA[RESTful Inference with the TensorRT Container and NVIDIA GPU Cloud]]> https://news.www.open-lab.net/?p=9297 2022-08-21T23:44:29Z 2017-12-05T17:35:57Z Once you have built, trained, tweaked and tuned your deep learning model, you need an inference solution that you need to deploy to a datacenter or to the...]]> Once you have built, trained, tweaked and tuned your deep learning model, you need an inference solution that you need to deploy to a datacenter or to the...

Once you have built, trained, tweaked and tuned your deep learning model, you need an inference solution that you need to deploy to a datacenter or to the cloud, and you need to get the maximum possible performance. You may have heard that NVIDIA TensorRT can maximize inference performance on NVIDIA GPUs, but how do you get from your trained model to a TensorRT-based inference engine in your��

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