Deep Computing is actually our effort to take people away from an esoteric view of supercomputing, and to understand the performance of complex calculations on massive amounts of data in order to support business decisions. Problems are complex in all walks of life. Deep computing, from petroleum companies to financial institutions, refers to a corporate ability to use technologies to solve their diverse problems. Our strategy is not to build separate computers, but to have a robust architecture for solving problems, and we think clusters are especially appropriate for that. So this is not just about scientific stuff, but about businesses with terabytes of data to mine, to discover such things as credit risks.
Clustering is in full evidence in the commercial space.
The approach is being used for server consolidation, Web serving, standard database applications, and data mining. It's used in businesses such as manufacturing and logistics. Our belief is that the marketplace in the Linux area will evolve. You now can see a lot of acceptance in the technical and scientific space. These kinds of companies are confident that they can build their own clusters.