1. It really isn't the kind of problem we are trying to solve. 2. Last time we did this we were over 100x faster and so we said. Ok its slow as &#@%.

We are more interested in trying to compare to tools that can provide workflows which are:

A. I have a ton of data in S3, HDFS, cloud storage solutions, centralized NFS B. I want to use the GPU to perform learning, graph analytics, classification, etc. I want to get from A to B as fast as possible utilizing the same resources for A that I will need to complete steb B.

As for size we will be releasing much larger workloads for GTC and are working hard on finishing up our work to make the workloads public and reproducible as well as releasing a new version of our engine where you can run much much larger workloads through distribution.