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.
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.
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.