Compiling 1.8.0 version with GPU support based on nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04 · Issue #952 · tensorflow/serving · GitHub
![TF Serving -Auto Wrap your TF or Keras model & Deploy it with a production-grade GRPC Interface | by Alex Punnen | Better ML | Medium TF Serving -Auto Wrap your TF or Keras model & Deploy it with a production-grade GRPC Interface | by Alex Punnen | Better ML | Medium](https://miro.medium.com/max/950/1*4ls2-f3QSzaVu4RFGxCW8A.png)
TF Serving -Auto Wrap your TF or Keras model & Deploy it with a production-grade GRPC Interface | by Alex Punnen | Better ML | Medium
![Serving an Image Classification Model with Tensorflow Serving | by Erdem Emekligil | Level Up Coding Serving an Image Classification Model with Tensorflow Serving | by Erdem Emekligil | Level Up Coding](https://miro.medium.com/max/1068/1*Te7ykyBZsZ8ZZkpP5BuZug.png)
Serving an Image Classification Model with Tensorflow Serving | by Erdem Emekligil | Level Up Coding
![How To Deploy Your TensorFlow Model in a Production Environment | by Patrick Kalkman | Better Programming How To Deploy Your TensorFlow Model in a Production Environment | by Patrick Kalkman | Better Programming](https://miro.medium.com/max/1400/1*lunifzt-hrX_JSH0pkWNdw.jpeg)
How To Deploy Your TensorFlow Model in a Production Environment | by Patrick Kalkman | Better Programming
GitHub - EsmeYi/tensorflow-serving-gpu: Serve a pre-trained model (Mask-RCNN, Faster-RCNN, SSD) on Tensorflow:Serving.
![How to deploy Machine Learning models with TensorFlow. Part 2— containerize it! | by Vitaly Bezgachev | Towards Data Science How to deploy Machine Learning models with TensorFlow. Part 2— containerize it! | by Vitaly Bezgachev | Towards Data Science](https://miro.medium.com/max/684/1*hCBt5o0qcVwga4pxPzIoUw.png)