Anshul Sadana: Samik, just keep in mind, Meta slowed down spending a few years ago, right? So there is some catching up to do to sort of the spend that got missed out. So you have to sort of go back what’s an average it out to understand the trend. And second, Jayshree mentioned from what we know so far, we don’t believe there is any change in the networking spend. The CapEx optimization they are discussing are either tied to how the buildings are built, facilities or letting go of nights to our projects.
Samik Chatterjee: Got it. Thank you. Thanks for taking my question.
Jayshree Ullal: Thank you, Samik.
Operator: Your next question comes from the line of Tal Liani with Bank of America. Please go ahead. Your line is open.
Tal Liani: Hi. I want to ask about the other part that no one is asking about, the non-cloud titans. So if I back out cloud titans, non-cloud grew 14.6%. And the question is, first of all, on last year, did you allocate components to cloud titans? And was this area more pressured than cloud titans when it comes to allocation? So if that’s the case €“ or what is the answer about what happens this year, this coming year or this year on the non-cloud titan portion? What drives it to accelerate from the 14.5% growth of last year? Thanks.
Jayshree Ullal: Got it, Tal. So first of all, absolutely not. We don’t do any allocation. It’s very much a first in, first out algorithm. And many of the cloud titans clearly were the first in, so therefore, they are the first out. Our enterprise customers and the momentum as the demand is very high, and we fully expect that they will get their turn in this year, in 2023. But given how constrained we were in supply, this is the way it worked out in terms of revenue.
Tal Liani: Is there €“ what are the underlying driver for growth acceleration, the driver €“ outside of components, better component supplies, what are the underlying growth drivers for 2023 versus 2022?
Jayshree Ullal: I think they are very similar. You heard me talk about some of the enterprise momentum. Our customers are really looking for consolidation of their data centers in terms of a better automation, better telemetry, better consolidation of their operational advantages in the data center. Campus is a huge use case. Routing and bringing all of the routing features that we’ve been working on for over 5 years to bear has been a third one. Observability and securities, another use case, our telemetry with CloudVision. So very similar themes to 2022 that we’re seeing in €˜23.
Tal Liani: Great. Thank you.
Jayshree Ullal: Thanks, Tal.
Operator: Your next question comes from the line of Fahad Najam with Loop Capital. Please go ahead. Your line is open.
Fahad Najam: Thank you for taking my question. I had a couple of clarifications. The cognitive adjacencies that were, I think, 14% of revenue is it fair to assume it’s fairly split evenly between CapEx switching and routing?
Jayshree Ullal: Sorry, Fahad, can you repeat the question? I couldn’t hear.
Fahad Najam: The cognitive adjacency to revenue that you gave, I think it was 14% of revenue, if I’m not mistaken. And I’m just wondering, is the split even between campus and routing?
Jayshree Ullal: Approximately, both of them were large contributors. So I don’t have the exact percentages, but we think campus over time will become larger. But at the moment, I would say it’s 6 or 1.5 a dozen of the other.
Fahad Najam: Got it. For my question, how should we be thinking about €“ with AI and machine learning becoming more pervasive and cloud titan architectures and this prospective displacement of InfiniBand with Ethernet, how should we be thinking about the TAM opportunity? Because how big does this InfiniBand replacement opportunity, so to speak?
