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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 toda
by jamesblonde 8y ago
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.
- agibsonccc 8y agoI 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.
- ironchef 8y agoA 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)
- agibsonccc 8y agoExactly!
- xapata 8y agoWho needs to do that? Not many companies. Deep Learning is overhyped, just as MapReduce was.