The Data Science Virtual Machine for Linux is an Ubuntu-based virtual machine image that makes it easy to get started with deep learning on Azure. The Microsoft Cognitive Toolkit, TensorFlow, MXNet, Caffe, Caffe2, Chainer, NVIDIA DIGITS, Deep Water, Keras, Theano, Torch, and PyTorch are built, installed, and configured so they are ready to run immediately. The NVIDIA driver, CUDA 9, and cuDNN 7 are also included. All frameworks are the GPU versions but work on the CPU as well. Many sample Jupyter notebooks are included. TensorFlow Serving, MXNet Model Server, and TensorRT are included to test inferencing.
The Data Science Virtual Machine for Linux also contains popular tools for data science and development activities, including:
You can view a full list of installed tools for the Linux edition here.