Docker | TensorFlow
https://www.tensorflow.org/install/docker28.01.2021 · Docker uses containers to create virtual environments that isolate a TensorFlow installation from the rest of the system. TensorFlow programs are run within this virtual environment that can share resources with its host machine (access directories, use the GPU, connect to the Internet, etc.). The TensorFlow Docker images are tested for each release.
TensorFlow Serving with Docker | TFX
https://www.tensorflow.org/tfx/serving/docker21.07.2021 · Next you can pull the latest TensorFlow Serving GPU docker image by running: docker pull tensorflow/serving:latest-gpu This will pull down an minimal Docker image with ModelServer built for running on GPUs installed. Next, we will use a toy model called Half Plus Two, which generates 0.5 * x + 2 for the values of x we provide for prediction.