“We -- Grace, I think I've said before that we will have production samples in Q1, and we're still on track to do that.”

In context

“apability is off the charts. Grace also is memory coherent to our GPU, which allows our GPU to expand its effective GPU memory, fast GPU memory by a factor of 10. That's not possible without special capabilities that are designed between hopper and Grace and the architecture of Grace. And so, it was designed. Grace is designed for very large data processing at very high speeds. Those applications are related to, for example, data processing is related for recommender systems, which operates on petabytes of live data at a time. It's all hot. It all needs to be fast, so that you can make a recommendation within milliseconds to hundreds of millions of people using our service. It is also quite effective at AI training, machine learning. And so, those kind of applications are really terrific. We -- Grace, I think I've said before that we will have production samples in Q1, and we're still on track to do that. Operator: Your next question comes from the line of Harlan Sur with J.P. Morgan. Your line is now open. Harlan Sur: Good afternoon and thanks for taking my question. Your data center networking business, I believe, is driving about $800 million per quarter in sales, very, very strong growth over the past few years. Near term, as you guys pointed out, and the team is driving strong Nick and blue food attached to your own compute solutions like DGX and more partner announcements like VMware, but we also know that networking has pretty large exposure to general purpose cloud and hyperscale compute spending trends. So what's the visibility and growth outlook for the networking business over the next few quarters? Jen-Hsun Huang: Yes. If I could take that. First, thanks for your question. Our”