Arista Networks Rosenblatt's 6th Annual Technology Summit: The Age of AI (Part II)

Thanks for having me. Great.

Yeah, sure. I can start off, and Brendan will tag team these as we go through to make it conversational. Let me just take a step back, how proud we are to say, "Hey, we had this Etherlink portfolio June 2024." I remember I was 6 months in, we are at our New York Stock Exchange event, and not only did we have a great kind of analyst conversation, but we had a great product innovation reveal. I think it is just indicative of how we feel Arista was almost born for this AI moment. First, we had the cloud, and now we have AI. Even take the Etherlink portfolio you referred to, Mike. What a great, robust set of products unmatched by any of our competitors. We give all the different customers you mentioned, segments, options for their AI journey at a minimum. We are super thrilled. Now to get to how are we getting to this 12.6 40% revenue guide that we are very excited about.

It is coming from all these sectors. The thing is that we are seeing, if you are talking about what is changing the second half versus the first half, it is more of the same, or even versus last year. It is just more of, more Neo Cloud, more Titan, more AI labs, more enterprise, more campus. Although campus is not quite AI yet, but just generally in the 12.6. Those first few customers, we were talking at that time of InfiniBand, and now we are only talking Ethernet. The fact we have been able to go from those large customers to a breadth of customers, I think is super exciting and showing that for a pure play networking company, we can serve any of those use cases and continue to drive the innovation.

Going into next year, we'll talk more about scale out, scale across, and scale up, and Brendan can give you more of that through your questions. We're just super excited, whether it's training and inference, front-end and back-end, scale up, scale out, scale across. We're going to meet the customers where they need and really help them achieve their AI outcomes.

Yeah. I think that mostly it's from the customer engagements, I think, Mike, because if you think about it, we mostly serve large enterprise and larger. That's who you're talking large enterprise, Neo Clouds, AI labs, titans. For the majority, we've been having ongoing conversations, and so we would get a sense of if they felt they were pulling it in because of supply. I don't think that's the environment. I do think sometimes people are pulling in early because they want to make sure that they come to us as a company to help them in AI environments. So they might pull forward their enterprise renewal because of those, they might pull forward their scale across because they just have to get to outcomes faster. We don't see pull forward at all, but if we did, it would be more from a demand expectation.

We don't see it on the supply scarcity. My dashboard is customer conversations, it's project evolution. It's in the sense of it's 52-week lead time, so I don't think customers are going to lean in to 52 weeks unless they're pretty certain that it's something. I don't think it's very easy to pull forward with those kind of lead times. We're very clear, very excited by the demand environment. Even this year in the guide, if we can get a bit more supply, we could even go a little higher than the guide.

Andy, you want to start?