Robert

Hi @marcj, Awesome to hear! Ar you using `horovodRunner` to support distributed training or your own abstraction? In any case, I would be happy to help and test the functionality...

In a first case I would be interested in a single job experiment provisioning a single VM instance. I have to check the cluster and auto scaling functionality of Azure...

Good to know, I'll keep that in mind when testing on MS Azure. I'll be able to help you with Azure support knowing how you support the primary cloud providers.

Leaving this here for future reference: [Microsoft Azure ML cluster](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets#amlcompute) @marcj I assume you are using the api as described here: https://cloud.google.com/dataproc/docs/concepts/compute/gpus Microsoft Azure seems to use a different basic...

The `mkl-fft` repository ask to install through conda. Same for mkl_random. Thus: ``` conda install -c intel mkl-service mkl_random mkl_fft ```