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. CNTK, TensorFlow, MXNet, Caffe, Caffe2, DIGITS, H2O, Keras, Theano, and Torch are built, installed, and configured so they are ready to run immediately. The NVIDIA driver, CUDA, and cuDNN are also included. All frameworks are the GPU versions but work on the CPU as well. Many sample Jupyter notebooks are included.
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.
Pre-configured and tested with Nvidia drivers, CUDA Toolkit, & NVIDIA cuDNN library for GPU workloads available if using NC class VM SKUs.
Queries & feedback: DSVM community support forum
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