The goal is to achieve best AI training performance and support all these larger, more complex models and be power-efficient, and cost-effective at the same time. It's a Distributed Compute Architecture. All the training computers out there are distributed computers in one form or the other, they have compute elements -- in the box out here -- connected with some kind of network, in this case it's a two-dimensional network. But it could be any different network: CPU, GPU, accelerators, a...