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You bundle way more than they do and on top of that have your own file system just like mapr does.

Your pitch is still about differentiated tech, not a large install base, a differentiated business model

and something related to people like a good partner ecosystem.

Your pitch here requires tons of services.

People don't know how to use all of this stuff especially on prem.

It takes more than just code to build a business.

I say this as someone who's been doing this since 2013. It's not easy.



Ok, now you're changing your angle. Differentiated tech is what we are all about - that is ok by me (for now).

If you want to train DNNs on a hundred GPUs today on-premise on TensorFlow, come to us, we can do it. They can't.


I don't think I changed my angle here? I'm still addressing

the same point. Tech doesn't matter. Simplicity does.

Even in our own product line, we only do a small

subset of this. We don't even require a cluster

to run. We also work with tech that people use.

You are currently competing with horovod

and kubeflow. eg: "competing with free"

You need more than that to survive.

Generally, that comes down to services.


A slightly different wording is it comes to using the tech... which is either through services or through adoption / operationalization (which... with complexity... is very difficult)


Exactly!


Who needs to do that? Not many companies. Deep Learning is overhyped, just as MapReduce was.




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