Google Cloud equivalent of Azure's Data Science VM

I need a packaged Virtual Machine on Google Cloud with the following installed already:

1. Python (2.x, 3.x, Anaconda distro)
2. R
3. A database server (PostGreSQL etc)
4. Ipython/Jupyter/JupyterHub
5. Deep Learning Libraries (Tensorflow, Keras and GPU support CUDANN)

These are usually available in Amazon's AMI or MS Azure's Data Science Instances.

Links: 1. Amazon's AMI! 2. Microsoft's VM!

Could someone experienced please guide me in finding the right VM, if such a VM is indeed available on Google Cloud Platform.

The Closest that comes to your requirement google datalab though it does not satisfy all, https://cloud.google.com/datalab/

If you want more control over your VM this article will help you a great deal

https://haroldsoh.com/2016/04/28/set-up-anaconda-ipython-tensorflow-julia-on-a-google-compute-engine-vm/

If not as a workaround you can, install docker on your VM,

For R and PostGreSQL pull the prebuilt dockers and follow the simple instructions in dockerhub

https://hub.docker.com/_/r-base/

https://hub.docker.com/_/postgres/

Go to the following repo and get the most suitable docker for your VM, instructions are added on git as well,

https://github.com/floydhub/dl-docker

This includes the following,

CUDA 8.0 (GPU version only) cuDNN v5 (GPU version only) Tensorflow Caffe Theano Keras Lasagne Torch (includes nn, cutorch, cunn and cuDNN bindings) iPython/Jupyter Notebook (including iTorch kernel) Numpy, SciPy, Pandas, Scikit Learn, Matplotlib OpenCV and A few common libraries used for deep learning

This should be enough to satisfy your requirement.