Antonio Neri: Yes. I think overall it was more back ended, I would say, in the quarter, we saw strengthening as we went through the weeks. As always said, we have 13 weeks in the quarter, and we saw stronger momentum as we built along the way. And remember what we said the same, right? So as SAM as said year-to-date to October ’19, I think, was the sun date. We had $3 billion in cumulative orders both between supercomputer and AI specifically and we ended the year at 3.6%. So in the last 12 days with $600 million in incremental AI orders. That tells you the strong. It was through also for compute and storage. By the way, the last few weeks, call it, three, four, five weeks were stronger than the beginning of the quarter. So I would not make much out of that.
Sometimes customers take the time. We still actually live in elongated flow cycles. That’s for sure. Customers taking more time to make those decisions. and ultimately issue the POs. But what really is giving me the confidence is the strong pipeline we have ahead of us. That’s obvious. And clearly, in AI is significantly stronger than we ever imagined. And the only challenge we have there, then as Jeremy said, right, so it’s time to revenue. We really recognize very little revenue in AI in Q4. That’s why we expect the acceleration starting in Q2 and beyond as lead times improve and some of the supercomputing also gets accepted. But the reality, 2024 will be the year of AI revenue growth. And then in the edge, obviously, we have the momentum that we talked about in the subscription, the scale of our software and the incremental engines that we have.
So overall, it was a typical quarter, but stronger on the back versus the front. Yes. I think we have time for one more.
Antonio Neri: Let’s do one more. Thanks Gary, please. Maybe just one more question.
Operator: Thanks for the final question. will be from Aaron Rakers with Wells Fargo. Please go ahead.
Unidentified Analyst: Yes, thank you guys. This is Michael on behalf of Aaron I just want to ask around AI software. Can you just help us appreciate or understand how your own AI software solutions that you guys talked about at SAM compared to NVIDIA’s own AI software suite. I’m just trying to understand is yourself for a complementary or is it more of a substitute? Just how to think about that overall. Thank you.
Antonio Neri: No, great question. And I will say, overall, there is a lot of complementary and there are some places overlap, obviously. But with Jens and the team, we have a clear joint plan to win together in different segments of the market. But let me break it out because we talk about software in general terms, but let’s start first at the infrastructure level. we have unique software that allows us to run these supercomputers and AI system, which are cloud native by nature at massive scale. Think about when you run a model you need to start and complete the mobile training. And you have to have unique technologies for checkpoints and making sure that all the compute power is acting as unified system because unlike the public cloud or the cloud, as we know it, you are multiple loads on multiple nodes.
In this case, you run one world nodes on multiple nodes. And that’s parallel computing as we know it. And ultimately, you need the software to run this at scale. The magic around that is that checkpoint. And then the second piece of that is our networking interconnect fabric which allows us to really connect every accelerated unit to every accelerated unit in a cohesive approach. And that’s our Slingshot contingent fabric as we know it. And then on top of that, we have our machine learning development environment. This is where developers and the like use our machine learning development services. to prepare the models to automate the data pipeline. One of the biggest challenges customers have is to prepare the data, data is everywhere, but ultimate bringing in terms sort of one place so you can use data to train the models.
And then with NVIDIA, we use their AI enterprise software, including some of the foundation models that they provide order to provide a complete solution. And obviously, we leverage their APUs, call it, GPUs, whether it’s H-100-L40-OL4S, A100s in the past and going forward as the announcement we made a supercomputing 2023 in Denver, we are leveraging the grace over Edge 200. So it’s a combination, depending on the use case. And we feel pretty good about what we’re doing and stay tuned because Thursday, we’re going to make further announcements about our partnership with NVIDIA. But it’s RAP and IP that makes us together unique and differentiated in the AI space. Okay. Well, thank you, everyone. I will appreciate always the time. I know you’re busy cover in all the earnings, but I will say just to wrap in fiscal year 2023.
Clearly, we demonstrated our strategic investments and the extraordinary innovation across the growth areas of edge, hybrid cloud and even compute for the matter are really resonating with customers. and is helping us tolerate revenue growth and profit diversification. That’s why you see the growth in gross margin and profit. And I believe we will continue to capitalize on this growing market opportunities. And I’m confident to continue to increase the returns to our shareholders. And that’s why we are raising the dividend for 2024. So thank you for your time today. I wish you all fulfilling end of the calendar year and a special holiday season. Talk to you soon.
Operator: Ladies and gentlemen, this concludes our call for today. Thank you for attending the presentation. You may now disconnect.
