I have to correct chris here. He is talking about a lot of features that are in our enterprise version SKIL. We will offer a limited developer version of SKIL

I have to correct chris here. He is talking about a lot of features that are in our enterprise version SKIL. We will offer a limited developer version of SKIL for free. Think of SKIL as similar to gitlab or github enterprise. In SKIL we also have auto provisioning of a cluster and a higher level interface for running deep learning workloads. It auto configures most of the parameters like the spark worker native library path and setting up things like a training UI as well as installation of the mkl and cudnn libraries. Optionally, you can also run a version of this with DC/OS and co where there is a packaged spark. What we do have in dl4j is the raw components you can use to create these things such as datavec and dl4j-streaming which covers our integration with kafka.