“So back to your original question, I think next year is going to be quite a good year for Data Center.”

In context

“t -- the next thing that NVIDIA will announce, with the tremendous interest in large language models, Triton now also supports multi-GPU and multi-node Inference, so that we could take something like an OpenAI GPT-3, NVIDIA Megatron 530B or anybody's giant model that's been developed all over the world in all these different languages, in all these different domains, in all these different fields of science and what -- in industry where we can now influence it in real time. And I demonstrated it in one of the demos, there was a question answering model that the team built and it was able to basically answer questions in real-time. And so that is just a giant venture and these are the type of workloads that's going to make it possible for us to continue to scale out and build on these, so. So back to your original question, I think next year is going to be quite a good year for Data Center. Customers are very mindful of securing their supply for their scale out and so we have a fair amount of visibility and more visibility commonly than ever at Data Center, but in addition to that, Triton is just in adoption everywhere. And then, finally, our brand-new workloads, which is built on top of AI and graphics and simulation, which is Omniverse, and we saw the examples that I gave, these are real companies doing real work and one of the areas that has severe shortages around the world is customer support, just genuine severe shortages all over the world, and we think the answer is Omniverse Avatar. And it runs in Data Center, you could easily adapt Omniverse Avatar to do drive-thrus or retail check out or customer service, and I demonstrated that with Tokyo, a parking kiosk. You ca”