I also don't think the GPU solution is the best for more enterprise solutions. If an enterprise company is interested in computing, they likely have a cluster of same machines. And if they are interested in data processing, the cluster is likely running Hadoop.
To that end, it also makes sense to start developing Deep Learning for Hadoop based systems to utilize the architecture that already exists in the enterprise space.
Right. Which is why I supported CPUs first with the ability to plug in different backends. Blas is supported in spark and CDH leading the way for deep learning solutions for hadoop. I hope to lead that front with what we have going on now.
