# خبر
https://developers.googleblog.com/2018/03/tensorrt-integration-with-tensorflow.html
#tensorflow #tensorRT
https://developers.googleblog.com/2018/03/tensorrt-integration-with-tensorflow.html
#tensorflow #tensorRT
Google Developers Blog
Announcing TensorRT integration with TensorFlow 1.7
Today we are announcing integration of NVIDIA® TensorRT<sup>TM</sup> and TensorFlow. TensorRT is a library that optimizes deep learning models for inference and creates a runtime for deployment on GPUs in production environments. It brings a number of FP16…
معرفی kuberflow برای serve کردن مدلهای PyTorch برای deployment
#Kubeflow is an open source platform designed to make end-to-end ML pipelines easy to deploy and manage. Kubeflow already supports #PyTorch, and the Kubeflow community has already developed a PyTorch package that can be installed in a Kubeflow #deployment with just two commands. Additionally, in collaboration with #NVIDIA, we have extended the #TensorRT package in Kubeflow to support #serving PyTorch models. We aim for Kubeflow to be the easiest way to build portable, scalable and composable PyTorch pipelines that #run_everywhere.
https://www.kubeflow.org/
#Kubeflow is an open source platform designed to make end-to-end ML pipelines easy to deploy and manage. Kubeflow already supports #PyTorch, and the Kubeflow community has already developed a PyTorch package that can be installed in a Kubeflow #deployment with just two commands. Additionally, in collaboration with #NVIDIA, we have extended the #TensorRT package in Kubeflow to support #serving PyTorch models. We aim for Kubeflow to be the easiest way to build portable, scalable and composable PyTorch pipelines that #run_everywhere.
https://www.kubeflow.org/
Learn how to optimize TensorFlow Serving performance with TensorRT on GPUs!
https://medium.com/tensorflow/optimizing-tensorflow-serving-performance-with-nvidia-tensorrt-6d8a2347869a
#serving #tensorflow #tensorrt
https://medium.com/tensorflow/optimizing-tensorflow-serving-performance-with-nvidia-tensorrt-6d8a2347869a
#serving #tensorflow #tensorrt
Medium
Optimizing TensorFlow Serving performance with NVIDIA TensorRT
Posted by Guangda Lai, Gautam Vasudevan, Abhijit Karmarkar, Smit Hinsu