Welcome to the third quarter 2025 Arista Networks financial results earnings conference call. During the call, all participants will be in a listen-only mode. After the presentation, we will conduct a question-and-answer session. Instructions will be provided at that time. If you need to reach an operator at any time during the conference, please press star key followed by zero. As a reminder, this conference is being recorded and will be available for replay from the investor relations section on the Arista website following this call. Mr. Rudolph Araujo, Arista's Head of Investor Advocacy, you may begin. Thank you, Krista. Good afternoon, everyone, and thank you for joining us. With me on today's call are Jayshree Ullal, Arista Networks Chairperson and Chief Executive Officer, and Chantelle Breithaupt, Arista's Chief Financial Officer. This afternoon, Arista Networks issued a press release announcing the results for its fiscal third quarter ending September 30th, 2025. If you want a copy of the release, you can access it online at our website. During the course of this conference call, Arista Networks management will make forward-looking statements, including those relating to our financial outlook for the fourth quarter of the 2025 fiscal year, longer-term business model, and financial outlook for 2026 and beyond, a total addressable market and strategy for addressing these market opportunities, including AI, customer demand trends, tariffs and trade restrictions, supply chain constraints, component costs, manufacturing output, inventory management, and inflationary pressures on our business, lead times, product innovation, working capital optimization, and the benefits of acquisitions, which are subject to the risks and uncertainties that we discuss in detail in our documents filed with the SEC, specifically in our most recent Form 10Q and Form 10K, and which could cause actual results to differ materially from those anticipated by these statements. These forward-looking statements apply as of today, and you should not rely on them as representing our views in the future. We undertake no obligation to update these statements after this call. This analysis of our Q3 results and our guidance for Q4 2025 is based on non-GAAP and excludes all non-cash stock-based compensation impacts, certain acquisition-required charges, and other non-recurring items. A full reconciliation of our selected GAAP to non-GAAP results is provided in our earnings release. With that, I will turn the call over to Jayshree. Thank you, everyone, for joining us this afternoon on our third quarter 2025 earnings call. Arista continues to drive its 19th consecutive record quarter of growth in this AI era. We achieved almost $2.31 billion this quarter, with software and services contributing approximately 18.7% of revenue. Our non-GAAP gross margin of 65.2% was influenced by favorable mix and inventory benefits. Americas was strong at almost 80% and international at approximately 20%. On September 11th, at our Analyst Day, we showcased both networking for AI and AI for networking with our continued momentum across our data-driven network platforms. Unlike many others, our EtherLink portfolio highlights our accelerated networking approach, bringing a single point of network control for zero-touch automation, trusted security, traffic engineering, and telemetry to dramatically improve compute and GPU utilization. Superior AI networks from Arista improve the performance of AI accelerators. Of course, we interoperate with NVIDIA, the worldwide market leader in GPUs, but we also recognize our responsibility to create a broad and open ecosystem, including AMD, Anthropic, Arm, Broadcom, OpenAI, Pure Storage, and Vast Data, to name a few, and build that modern AI stack of the 21st century. This stack includes the trio of compute, memory storage, and a solid network foundation to run training and inference models. Our stated goal of $1.5 billion AI aggregate for 2025, comprising both backend and frontend, is well underway. We are now committed to $2.75 billion out of our new target of $10.65 billion in revenue, representing 20% revenue growth in 2026. We are experiencing momentum across cloud and AI titans, near cloud providers, and the campus enterprise. The demanding scale of AI buildouts is clearly unprecedented as we look to move data faster across multi-planar networks. People and leadership are key to our success, and to that end, we announced Todd Nightingale as our President and Chief Operating Officer last quarter. This time, we want to celebrate the promotion of Ken Duda, our President and Chief Technology Officer, not only of engineering, but our top AI and cloud segment of customers as well. Ken, as many of you know, has been a champion of architecture, innovation, and culture since founding Arista over 20 years ago. Ken, would you like to say a few words? Oh, thanks, Jayshree. One of the best things about working at Arista is getting to build some of the most ambitious networks ever built: ultra-low-latency trading networks, global-scale cloud networks, and most recently, multi-tenant AI networks. Our success in AI has many sources: the sheer power and performance of our hardware platforms, our innovations in fabric architecture, our AI-focused telemetry and provisioning automation, our reputation for the highest-quality software, and our leadership in the Ultra Ethernet Consortium, the UEC, and our work in Ethernet Scale-Up Networking, or ESUN, and most importantly, the way we partner with the world's largest AI companies. Partnership has been key to our success over and over at Arista, and the AI revolution is no exception. In addition to being a lot of fun, these partnerships benefit our company, both through the sheer revenue opportunity, but also in providing us with the opportunity to learn and innovate at the edge of what's possible. We can then apply what we've learned to bring solutions to the broader networking market, helping a much larger and more diverse customer base build the most advanced and reliable infrastructure in the industry. For example, our EtherLink distributed switch fabric powers some of the largest AI fabrics in the world. It's also an excellent underlay for data centers of all sorts, providing a full-line rate fabric with no hotspots at petabit scale for all workloads, including AI. EtherLink speeds are going from 800 Gb today to 1.6 terabits in the near future, while leveraging our EOS operating system and our NetDI diagnostics infrastructure for top hardware and software reliability. Arista AVA, or Autonomous Virtual Assist, uses AI to help our customers design, build, and operate their networks. AVA draws on both our internal knowledge base and also on the customer's data stored in NetDL, Arista's network data lake. Plus, AVA has agentic capabilities to help troubleshoot proactively. Other recent innovations include SWAG, a switch aggregation technology that provides the features of campus stacking, along with fault containment and in-service software upgrades for maximum uptime. By running a common EOS and common NetDI platform across so many use cases, we are able to maintain alignment between our different market segments, leveraging central engineering investments efficiently as we pursue cloud, enterprise, and AI markets simultaneously. I am so grateful for the opportunity to lead the Arista engineering and cloud teams in an era with so many exciting opportunities. Thank you, Ken, and congratulations on a fantastic 21-year career, a very well-deserved promotion at Arista. You have always built the always-on, resilient leaf spine architecture, both now for networking for AI workloads and AVA to bring AI to networking. At Oracle AI World, Ken was invited to formally announce our collaboration with Oracle Accelerate. This builds upon a decade of partnership with Oracle, starting with our Exadata migration from InfiniBand to Ethernet for AI networks to RoCE, RDMA over Converged Ethernet, and now multi-planar networking across cloud AI for on-time job completion in gigawatt-scale AI data centers. As part of our Leadership 2.0, we have built and focused a cloud and AI mission and organization, now led by industry veteran Tyson Lamoreaux, reporting to Ken and Hugh. I am so delighted to formally welcome Tyson to Arista. Tyson, if you guys know him well, built the first cloud network for Amazon AWS in the 2000 era and pioneered the first AI network for a stealth sovereign AI company the last couple of years. Tyson, you've had a busy few weeks here. Tell us more. Thank you, Jayshree, and thanks for the question. It's really incredible to have joined the team at a time where Arista is building so much momentum. Spending time with customers has been a top priority for me since coming on board, and I've been so impressed with how strong these partnerships are, both with our long-standing titans and with our emerging customers. We're deeply engaged with them on next-gen architectures for their cloud networks, front-end, back-end, scale-up, scale-out, and scale across. I mean, really everywhere. It's translating to a ton of wins, and I got to say, it's a lot more than I anticipated before I got here. I really love our continuing commitment to open standards and innovation like ESUN and UEC, and of course, the practical here, now, and always problems that we're addressing by building the hardware systems, software, everything that delivers exceptional power, efficiency, reliability, density, visibility, and manageability for our customers. I think my background as a builder and operator is really well-suited to helping the team anticipate customer needs and delivering the right products for them. I guess the last thing I'd highlight is the culture. I mean, it's just tremendous. The customer focus, commitment to quality, innovation, and operational excellence are top-notch here, and it made me feel right at home. Thanks, Jayshree. Back to you. Thank you, Tyson, and welcome home. With Tyson's credentials and track record, Arista is really poised to address multiple facets of the cloud and AI innovation at a system-wide level, converging silicon, hardware, software, cables, optics, and racks as an overall platform. At the Open Compute Project, OCP, Arista unveiled its first Ethernet Scale-Up Networking, or ESUN specification, along with 12 important industry experts. While we began with four co-founders, we are now supporting and increasing to more people so that we can build the right interoperable scale-up standard. While there's always white noise, Arista also continues to clarify our role in whitebox and how we will continue to coexist like we always have the past decade or more. The concept is clear. It's all about good, better, and best, where in some simple use cases, a commodity whitebox is good enough. Yet in other cases, customers seek the value of better Arista Blue Boxes with state-of-the-art hardware with built-in NetDI for signal integrity, physical, passive, active component, and troubleshooting management. The best is, of course, the Arista branded EOS platforms for the ultimate superiority. We find ourselves amid an undeniable and explosive AI mega trend. As AI models and tokens grow in size and complexity, Arista's driving network scale of AI XPUs handling the power and performance. Basically, the tokens must translate to terawatts, teraflops, and terabits. We are experiencing a golden era in networking with an increasing TAM now of over $100 billion in forthcoming years. Our data center strategy, ranging from client to branch to campus to data center and now cloud and AI centers, is a very consistent mission for the company. We will continue to invest in our customers, our leaders, our partners, and certainly, most of all, our innovative technology. With that, Chantelle, I'd like to hand it to you as our CFO for financial specifics. Thank you, Jayshree. It is great to see the broadening of the AI ecosystem, and I am excited for Arista to be an innovative unit. Turning now to Q3 performance, total revenues were $2.3 billion, up 27.5% year-over-year, above our guidance of $2.25 billion. This was supported by strong growth across all of our product sectors. International revenues for the quarter came in at $468.3 million, at 20.2% of total revenue, down from 21.8% in the prior quarter. The overall gross margin in Q3 was 65.2%, above our guidance of 64%, down from 65.6% last quarter and up from 64.6% in the prior year quarter. The year-over-year gross margin improvement was primarily driven by strength in the enterprise segment. Operating expenses for the quarter were $383.3 million, or 16.6% of revenue, up from last quarter at $370.6 million. R&D spending came in at $251.4 million, or 10.9% of revenue, up from $243.3 million in the last quarter. Sales and marketing expense was $109.5 million, or 4.7% of revenue, compared to $105.3 million last quarter. Both quarter-over-quarter dollar increases were driven by additional headcount, inclusive of the VeloCloud acquisition. Our G&A costs came in at $22.4 million, or 1% of revenue, up from last quarter at $22 million. Our operating income for the quarter was $1.12 billion, landing at 48.6% of revenue. Other income and expense for the quarter was a favorable $98.9 million, and our effective tax rate was 21.2%. This resulted in net income for the quarter of $962.3 million, or 41.7% of revenue. Our diluted share number was 1.277 billion shares, resulting in a diluted earnings per share number for the quarter of $0.75, up 25% from the prior year. Now onto the balance sheet. Cash, cash equivalents, and investments ended the quarter at $10.1 billion. At the $1.5 billion repurchase program approved in May 2025, $1.4 billion remains available for repurchase in future quarters. The actual timing and amount of future repurchases will be dependent on market and business conditions, stock price, and other factors. Now, let's move next to operating cash performance for the third quarter. We generated approximately $1.3 billion of cash from operations in the period, reflecting a strong business model performance. DSOs came in at 59 days, down from 67 days in Q2, driven by billing linearity. Inventory turns were 1.4 x, flat to last quarter. Inventory increased to $2.2 billion in the quarter, up from $2.1 billion in the prior period. Most of this increase is due to higher evaluation inventory, indicating uptake of our new products and new use cases. Our purchase commitments and inventory at the end of the quarter totaled $7 billion, up from $5.7 billion at the end of Q2. We will continue to have some variability in future quarters as a reflection of the combination of demand for our new products and the lead times from our key suppliers. Our total deferred revenue balance was $4.7 billion, up from $4.1 billion in Q2. As of Q3, the majority of the deferred revenue balance is product-related. Our product deferred revenue increased approximately $625 million versus last quarter. We remain in a period of ramping our new products, winning new customers, and expanding new use cases, including AI. These trends have resulted in increased customer-specific acceptance clauses and an increase in the volatility of our product deferred revenue balances. As mentioned in prior quarters, the deferred balance can move significantly on a quarterly basis, independent of underlying business drivers. Accounts payable days was 55 days, down from 65 days in Q2, reflecting the timing of inventory receipts and payments. Capital expenditures for the quarter were $30.1 million. In October 2024, we began our initial construction work to build expanded facilities in Santa Clara, and we expect to incur approximately $100 million in CapEx during fiscal year 2025 for this project. Q3 delivered a strong performance, underscoring our strategic progress. This continues to give us confidence for the remainder of FY 2025 and through FY 2026. But let's first start with our outlook for Q4. Revenue of $2.3 billion-$2.4 billion with continued growth expected across our cloud, AI, enterprise, and providers markets. Gross margin in the range of 62%-63%, inclusive of possible known tariff scenarios. Operating margin of approximately 47%-48%. Our effective tax rate is expected to be approximately 21.5% with approximately $1.281 billion diluted shares. Incorporating this Q4 outlook, our guidance for FY 2025 is as follows. Full-year revenue growth of approximately 26%-27%, or $8.87 billion at the midpoint. We are on track to deliver between $750 million-$800 million for our campus segment, and our AI center target of at least $1.5 billion. For gross margin, the outlook is approximately 64%, inclusive of possible known tariff scenarios. We anticipate operating margin of roughly 48%, demonstrating Arista's strong operational execution and scalable business model. Our outlook for FY 2026, presented at our September Analyst Day, remains relatively unchanged. Full-year revenue growth of approximately 20%, now at a higher dollar amount of $10.65 billion, inclusive of both a campus target of $1.25 billion and an AI center target of $2.75 billion. For gross margin, a range is expected of approximately 62%-64%, driven by customer mix, and for operating margin, an outlook of approximately 43%-45%, allowing for investments in relation to achieving the strategic goals of Arista. In closing, the momentum continues. The breadth and depth of our customer interactions have never been stronger nor more exciting. In true Arista style, we remain pragmatic, yet are aware of the potential over the next few years. I wish to extend a warm welcome to Tyson. We are thrilled that you have joined our team, and congratulations to Chantelle on the well-deserved promotion. I will now turn the call back to Rudy for Q&A. Thank you, Chantelle. We will now move into the Q&A portion of the Arista earnings call. To allow for greater participation, I'd like to request that everyone please limit themselves to a single question. Thank you for your understanding. Krista, please take it away. Thank you. To ask a question during this time, simply press the star and then the number one on your telephone keypad. If you would like to withdraw your question, press the star and then the number one again. Please pick up your handset before asking questions to ensure optimal sound quality. Your first question comes from the line of Tal Liani with Bank of America. Your line is open. Hi. I want to ask about the sequential or the guidance, and it's a more fundamental question, but I'll back it up with numbers. If you look at last year, the growth was very consistent. I know the last three quarters of the year, the sequential growth rate is between 6.5% and 7.5%. When you look at this year, you started with 10% growth into Q, and it goes to 5% and now only 1.6%. So there is deceleration. And the question is, what are the underlying drivers for the deceleration? What do we need to take from it for next year? What does it mean, and should we be concerned about the growth going forward? Thanks. Thanks, Tal. First of all, to answer your last line, there is no concern on our demand. I think the shipments and the revenue follows based on our supplies. So if we're able to make the shipments, then the revenue, as you saw in Q2, went right, blew past any of our guidance, right? However, there are times we can't ship everything despite the demand, and so you're accordingly seeing that. I wouldn't read too much into the quarterly variances, but I would say we feel we have never felt more strongly about the demand aspect of this, reflected in the continued commitment to 20% growth, even though the number keeps increasing from 8.75% to now 8.87%. So no change in demand, some variation in shipments. Got it. Your next question comes from the line of Aaron Rakers with Wells Fargo. Please go ahead. Your line is open. Yeah, thanks for taking the question. I'll stick to kind of the model as well. I'm curious, when I look at the gross margin guidance for this quarter, I think it was 62%-63%. I guess if we were to assume that your services gross margin stays consistent at 81%-82%, it would seem to imply that product gross margin falls below 60%. So I guess the question is, can you unpack the gross margin drivers in this quarter in terms of the guidance? How much is tariff related, or is there other dynamics to consider? And does that change kind of the expectation as we look forward? Thank you. Okay, sure, Aaron. First of all, I think you're overestimating our services and software margins, but be that as it may, we do have a mix of product margin where it's significantly below 60% with our cloud and AI titans driving the volume and higher, obviously, for the enterprise customers, the average of which, together with services, is yielding that number. So when the mix tilts heavily towards the Cloud and AI, you can expect some pressure on our gross margins. But overall, I think we manage it very well. The manufacturing team, now led by Todd, does a fantastic job here. So again, the discipline and mix plays well together, but I don't think it's any change from prior years where when we have a heavy mix of AI and Cloud, we feel it in our gross margin. Yeah, the only thing I would add to that is I wouldn't assume till the last part of your question that it insinuates or offers a new model going into next year. This is a normal part of our mixed conversation and well within the guide that you've seen us perform at these levels before. Yep. Your next question comes from the line of Michael Ng with Goldman Sachs. Please go ahead. Hi, good afternoon. Thank you for the question. I was wondering if you could just talk about Arista's positioning as we move into more full rack solutions. Is this going to be more of a partnership model? How do you think about addressing this, I guess, a growing convergence between compute and networking? Thank you very much. Michael, that's a very good question. First of all, as you heard an analyst say, Andy Bechtolsheim is personally driving, along with the hardware team, a significant number of these racks. I think at any given time, we have five to seven projects with different accelerator options. Obviously, NVIDIA is the gold standard today, but we can see four or five accelerators emerging in the next couple of years. Arista is being sought to bring all aspects, the cabling, the co-packaging, the power, the cooling, as well as the connection to different XPU cartridges, if you may, as the network platform of choice in many of these cases. So we are involved in a lot of early designs. I think a lot of these designs will materialize as the standards for Ethernet are getting stronger and stronger. We now have a UEC spec. You heard me talk about the scale-up Ethernet spec, ESUN, where we can bring different work streams onto the same Ethernet headers, transport headers, data link layer, et cetera. So I think a lot of this will be underway in 2026 and really emerge in 2027. As scale-up Ethernet becomes a more important part of that. In terms of how we will gain more recognition or revenue, some of this will be not the classic OEM model. There may be more of the Blue Box JDM model where we work with them on IP and have reference designs and offer them capabilities well beyond the network. But many of them will also entail selling the network as is in these racks. Your next question comes from the line of Atif Malik with Citi. Please go ahead. Your line is open. Hi, thank you for taking my question. Jayshree, in your prepared remarks, you mentioned large language model providers like OpenAI and Anthropic, and they have announced partnerships with your cloud titan. Can you share with us who is driving the decision-making on networking hardware on these announcements and just your commentary on your share being stable within the circle of your cloud titan? Yeah. So to answer your last question, first, I think our share is strong. We always, as you know, coexist with two other types of competitors. One is the bundling strategy with NVIDIA, and the other is the white box. So we have not seen any significant changes in share, up or down, at the moment. It's stable. Having said that, it's also a massive market, and we think rising tide rises all boats, and this boat is feeling pretty good. Now, specific to who makes the decision, it's really a combination. We intimately work with the software and LLM players because they certainly guide the design, but we also work with the cloud titans, and it's a shared responsibility between both of them. And where the responsibility for procuring the large data centers and the power and the location and the cooling is clearly done by our cloud titans, but the specifications on exactly what's required on the scale-up, scale-out network is done by the partners like OpenAI and Anthropic. So it's really a joint decision. Your next question comes from the line of Samik Chatterjee with JP Morgan. Please go ahead. Your line is open. Hi. Thanks for taking my question. Jayshree, maybe just going back to your earlier response to another question, you mentioned some variability in shipments. At a customer level, maybe driving some of the lumpiness quarter to quarter. Just curious, you had talked about previously the tier one customers you're engaged with progressing to their cluster sizes, 100,000 and more. How has there been any change related to those plans that are driving the deceleration here in terms of the fourth quarter guide? Or what is sort of behind the variability that you're seeing in terms of shipment? Is it supply-driven at all? Any color on that? Yeah. Yeah. I mean, Sawmick, I would say it's largely supply-driven. As you know, all four are doing well on the 100,000 mark. Three have already crossed it. The fourth one, I don't know if they'll cross it by end of the year or next year, but they're getting there. So. We're feeling pretty good on our large GPU deployments. At the same time, the variability I was stating is demand is greater than our ability to ship. Lead times on many of our components, including standard memory and chips and merchant silicon and everything, are nothing like 2022, but they have very long lead times. Ranging from 38 weeks-52 weeks. So we are coping with that, and you can see Chantelle is leaning in and making greater and greater purchase commitments. We wouldn't do that without demand. Your next question comes from the line of Amit Daryanani with Evercore ISI. Please go ahead. Your line is open. Thanks for taking my question. I guess my question, I think folks have kind of tried to ask around this a bit, is the growth rate you've had in the last three, four quarters of high 20%, call it, you started implying that will decelerate, Jayshree, not just in December, but also in 2026, I think at this point, right? High 20% growth goes to low 20%. Maybe just talk about what is driving that kind of deceleration? Because certainly, if you look at things like your purchase commitment and your different product growth, it would almost imply things can accelerate, not decelerate in the out quarter. So just what's driving the deceleration in the out quarters would be helpful to understand. Okay, Amit, but I don't like the word deceleration. We're talking about big, big numbers here, guys, and I'm committing to double-digit 20% and above. Don't call it deceleration. Call it variability across quarters, and demand is great. I just don't know whether it'll land in 2026 or 2027. Yeah. The only other thing I'm going to add to this just generally as a topic is that when you think about that the large AI use cases are acceptance clauses, it really comes down to that coming together and the timing of that. That doesn't follow a seasonality model. So that's also part of where we're going with. Yeah. It lands when it lands. That is a very good point that Chantelle's making, that in the cloud, we started having predictability of how they landed and how they got constructed. In AI, it's taking longer. Your next question comes from the line of David Vogt with UBS. Please go ahead. Your line is open. Great. Thanks for taking my question. So I'm going to ask this question at the risk of Jayshree yelling at me. So when we think about your. Raising my voice. When we think about your 2026 outlook that you just raised, which we didn't expect you to raise this early in the cycle, if I just take what you're doing with regards to the AI-centric opportunity, campus and VeloCloud, it doesn't leave a lot of room for growth in the core business outside of AI and campus. Maybe can you speak to what you're seeing in that particular market and how we should think about that progressing through 2026? Okay. Well, I'll say things, Jayshree, to figure out which tone she wants to answer it in. But I think that. The parts that I would take a look at, again, I go back to kind of how we started as early 2025 and maybe even 2024. Part of our style is to not assume 100% that we're getting hits to get to a number, and we'd like to leave ourselves with some optionality. And so we're putting some goals for ourselves with the AI. We're putting goals for ourselves with campus. It doesn't mean we're not focused on the rest, but I don't think it's the right approach to assume everything's going to be 100% and leave ourselves exposed. And we'll continue to update as we see it, right, Jayshree? Yeah, absolutely. And so. Yelling isn't the tone I'd like to be attributed to. Excitement, maybe your enthusiasm is the one I'd like you to think about, which is clearly AI and campus is going to grow and go great guns for us, as it should, because there are two very large plans. Whether it is Ken and Tyson driving the AI and cloud team's plan, or whether it's Todd Nightingale driving the campus plan, these two are going to grow substantially in double digits, right? So to your point, it doesn't leave the core business with a lot of opportunity. But that's not to say it may be flattish, it may be growth. It's to say that our customers are putting more attention there and that the existing business, which is already on very large numbers, will have lesser growth. We don't yet know if it's flattish or single digit or whether more will go to AI. We, frankly, can't predict the mix this early in the game on 2026, but we think we're in for a great ride in 2026. Your next question comes from the line of Ben Reitzes with Melius Research. Please go ahead. Your line is open. Hey, thanks a lot. And I appreciate you clarifying some of those earlier questions. More on the long-term side, Jayshree. I think there was an earlier question around OpenAI and Anthropic and just some of these larger builds with the private companies that obviously are becoming hyperscalers. Maybe without naming names or whatnot, I just wanted to hear about your confidence on being able to participate in some of these builds that are affiliated with some of your cloud titans. And do you think you'll get a lot of this growth? Is there anything that's changing or evolving that gives you more or less confidence as we end the year here in 2025? Thanks a lot. Yeah, that's a really good question, Ben, and thank you for that thoughtful question. Until now, the majority of how we've measured our AI success through our cloud and AI titans has been number of GPUs and how much are they installing and can we verify that the Ethernet network works. The majority of it to date has been scale-out. First, I want to reflect that there are three big use cases sitting in front of us: scale-up, scale-out, and scale-across. Arista's participation to date has largely been in scale-out. So we got two major use cases in addition augmenting this, and that's what makes the EtherLink portfolio that Ken described so eloquently so beautiful. Now, how are these being built? Clearly, they're being driven by large language models, tokens transformers, inference use cases, you name it all. So the influence is clearly coming from these players you named, but the way they are driving the infrastructure, and I can't keep track of the gigawatts myself, it's 10 gigawatts here, 10 gigawatts there, 30 gigawatts there. It's adding up to a lot. But I can just tell you, no matter what it is, Arista is being looked at as a very important and relevant participant, especially right now in the scale-out and scale-across. We will participate in the scale-up. It will take a little longer. Today, it is largely a set of proprietary technologies like NVLink or PCIe, and I think that will happen more in 2027. So that to say that as we get now confident about exceeding our $10 billion goal next year, we're looking at our next goal of $15 billion in the next three years. And I think AI will be a very large part of it, and so will be the companies you mentioned. Your next question comes from the line of Tim Long with Barclays. Please go ahead. Your line is open. Thank you. Appreciate the question here. Jayshree, maybe if we could just dig a little bit, you mentioned Blue Box a few times here, kind of in that middle portion of the good, better, best. Two-parter. One, could you talk a little bit about kind of the economic model, margins or anything like that that we should expect as Blue Box maybe becomes a bigger part of the mix over time? And second, can you talk a little bit about where we would expect to see these types of deployments? I'm assuming something like scale-up might be, as you described, a little bit more simple and not need the full EOS, but from either a customer or a use case standpoint, where would you expect Arista to be most successful with Blue Box deployment? Yeah. Thank you, Tim. Those are a good set of questions. I think I mentioned at the analyst day, we're already quickly seeing success. I'll give you one example where they were just not getting their white box to work. These are AI mission-critical workloads, and we're seeing a NeoCloud come right in with, in this case, non-NVIDIA GPUs, in fact, where they're looking to deploy Arista with its excellent hardware. And at first, they wanted to do an open NOS, but now they are adopting a hybrid strategy where it's not only an open NOS, but Ken's EOS is coming to shine in its full glory in this use case. So in this case, I think it's a Blue Box to start with, but it's quickly going into a hybrid state of blue and branded EOS box. The economics on that is not too different from our cloud and AI titans, generally speaking, although there will be scenarios, like you'd rightly mentioned, hasn't yet come to play. But as we go to significant scale-up volume, we expect more margin and economic capability coming together. In other words, the volume of these things will be larger, the pressure on margins will be greater. But we will carefully have a mix of scale-up, scale-out, and scale-across to not affect the overall margins, but definitely take our fair share in that. So hopefully I answered your question on both. Tim? Your next question comes from the line of Meta Marshall with Morgan Stanley. Please go ahead. Your line is open. Great. Thanks. Maybe a question for you, Jayshree. Just on. I know you guys aren't breaking out kind of front-end and back-end anymore, but just as more inference kind of use cases are getting built out, just what are you seeing in terms of. Just how the front-end network upgrades are happening maybe versus where your expectations were a year ago? Thanks. Yeah. Thank you. I think a year or maybe even two years ago, Meta, I may have told you this, we were literally outside looking in at all these back-end networks that were largely being constructed within Infiniband. We've seen a sea change, particularly this year, where obviously more and more times we're being invited to construct their 800 gig. Last year was more 400 gig, and I think next year will be a combination of 800 and 1.6T on the back-end. The back-end is putting pressure on the front-end, which is why it's getting more and more difficult for us to say, "Okay, what's the back-end number that natively connects to GPUs and what is the front-end?" But we know of concrete cases in our cloud titans where not only is it putting pressure on the AI number, but they're having to go and upgrade their cloud infrastructure to deal with it. That part is happening in a small sort of way, but what's happening in a big sort of way is the back and front are coalescing and converging more, and it's really becoming hard to tell, and it's probably six of one and half a dozen of the other. I'd just like to point out that we're seeing that Arista, I think, is the only successful vendor outside of China selling both front-end and back-end. And this is where our engineering alignment is so important because we can offer the customer a consistent solution across their entire infrastructure. I think this is a unique differentiator that will really help us succeed as these networks become more and more mainstream. Your next question comes from the line of Karl Ackerman with BNP Paribas. Please go ahead. Your line is open. Yes, thank you. How should we think about your market opportunity between disaggregated scheduled fabrics versus non-scheduled fabrics, which appear to be used in the largest AI accelerator clusters at one of your largest customers? I mean, you, in fact, happen to be the only networking switch vendor who offers both networking topologies. And I'm curious if other data center operators seek to adopt your DSF architecture, given the congestion-free advantages it offers. Thanks. I think you hit on it, and Ken hit on it too, so I'd like him to answer part of the question. Look, we're not religious. We jointly developed the DSF architecture with one of our leading cloud titans, Meta, and we've been selling the non-scheduled fabrics for a very long time. We've never been religious about this. Both are doing very, very well at our cloud titans and specifically the one we co-developed with. You're just exactly right. We've had both architectures in massive production scale for, I think, 15 years now, and we will continue to offer this range of choice to our customers, offering them their choice between the highest value fabric with deep buffers, no hotspots, congestion-free, loss-free, or an unscheduled fabric, which is maybe lower cost, but also can be more difficult to operate, and they both run the same software, so it gives the customer a range of options and a consistent operating model. Your next question comes from the line of Simon Leopold with Raymond James. Please go ahead. Your line is open. Thanks. I wanted to come back to the topic around the Blue Box, which you've talked about quite a bit at the analyst meeting. So I appreciate it's not new, but what I don't quite think I understand is how it may be evolving or changing in that it sounds like there's a broader base of customers that may be employing it and that this is a factor that's in your 2026 margin guidance. Could you elaborate on what you're assuming Blue Box trends are in 2026? Thank you. I think the Blue Box trends in 2026 will continue to remain with a handful of customers who know how to, who have the operational skill to deal with it. So think of that as largely our specialty cloud providers or our titan. It's not going to be mainstream. So single-digit customers probably, maybe 10 customers, maybe 20 customers, but it's not going to be hundreds, number one, because they really have to have the operational excellence to take our NetDI and our hardware and build upon it and put their open NOS or whatever, right? However, in that scenario, you're right to point out that because we may not have the EOS layer, we will take a lower margin on that. And that's factored into our 2026 guide and mix. And we think the combination of the Blue Box and the EOS branded box, if I can call it that, will continue to help us thrive with a profitable and high-growing business. Your next question comes from the line of James Fish with Piper Sandler. Please go ahead. Your line is open. Hey, guys, just on that topic of Blue Box, shockingly, maybe not just 2026, but what do you see in terms of the mix? Regarding the adoption curve as to what percentage the business could actually represent over not just next year, but three, five years from now? And you guys mentioned the convergence of front-end and back-end. Does that take away from kind of your advantage of where you sit today, though, if that line starts to blur a little bit more and allows competition to enter? Thanks, guys. Yeah, please, go ahead. In terms of the front-end and back-end converging, this is purely advantageous to us because the front-end requires a massive number of features. It's incredibly mission-critical and supports a whole variety of applications, not just the straightforward, if demanding, communication patterns of the AI back-end. So we see that. Our ability to tackle both of them effectively is a significant source of strength and a real differentiator and not something that's not easy for competitors to replicate. If you look at NVIDIA, for example, the sales volume is small in the front-end and Cisco is small in the back-end. And so I think we'll see that kind of convergence being beneficial to us. Yeah, thank you, Ken. And on the Blue Box, I'm not sure we model three to five years, but if I had to venture what I think the evolution of the Blue Box will be, I think it will be more significant in the scale-up use cases where there's a higher dependency on the strength of our hardware and our NetDI capability and a lower requirement for software. So don't know yet what that will be. I think it'll be high in units, low in dollars kind of thing. So the mix may still be small, but it'll actually be incremental since that's not a use case we do today. Your next question comes from the line of Antoine Chkaiban with New Street Research. Please go ahead. Your line is open. Hi, thanks for taking my question. I'd like to ask about the UEC, so can you maybe tell us about the progress that the consortium is making, whether the different voices are aligned, and what milestones investors should be looking out for going forward? Hey, Antoine, can you repeat your question? You weren't coming in clear. I'm asking about the Ultra Ethernet Consortium. Maybe can you tell us about the Ultra Ethernet Consortium? Yeah, yeah. Yes. Yeah, Antoine, yes. So after two years of lots of hard work led by Hugh Holbrook and now Tom Emmons, UEC did publish their first specification, I believe it was 1.0, in June of 2025. Arista's Ethernet portfolio is entirely UEC-capable, compatible, and we will continue to add more and more compliance, packet trimming, packet spraying, dynamic load balancing. These are all important features that our switches support. And we will augment that with the ESUN specification. As I described, we've been an early pioneer. Four vendors started this together, including Broadcom, Arista, and a couple of our Titan customers. I'm pretty sure it'll be 20 vendors, 25 vendors, 30 vendors over time. And having a standards-based OCP ESUN agreement will allow us to expand UEC into the scale-up configuration as well, leveraging UEC and IEEE specs. So this modular framework for Ethernet, for scale-up and scale-out, is a thing of beauty, and Arista is in the middle of it. Your next question comes from the line of George Notter with Wolfe Research. Please go ahead. Your line is open. Thanks very much. I think in the monologue, you mentioned VeloCloud is an area where you're getting more momentum. I think you guys actually said at the Analyst Day as well. I'm just curious. What are you seeing with that customer set? I guess from my perspective, I've historically kind of thought of that customer as being more focused on the bundle, which isn't necessarily your game, but it sounds like you're maybe talking a bit more positively. I'm just wondering what you're seeing in that space. Thanks. Yeah, no, George, I think you're right. I think in the beginning, we were looking at them bundling. I can think of two examples where we went to and invited to the party because you want my GPU, you got to get the network from me, so we went there. But leaving the two aside, and even I think those two might get open-minded over time, there are many more NeoClouds worldwide coming up that are really looking for Arista's help, not only on the product, but on the network design, on the software capability. They just don't have the staff and expertise to do everything themselves, and they would rather let us satisfy their network needs. So we are taking down many NeoCloud and smaller enterprises, admittedly smaller numbers of GPU clusters as well. But if they start with a thousand to a few thousand, then we're hopeful they'll grow because the one advantage they seem to all have is colo space and power, which, as you know, is a very prestigious asset going forward. Your next question comes from the line of Sebastien Naji with William Blair. Please go ahead. Your line is open. Yeah, thank you. Good afternoon. I'd like to understand a little bit more about the investments you're making in the enterprise go-to-market. It looks like sales and marketing expenses stepped up in the quarter. Where do you think you make the most progress as we go into 2026? Is it geographic expansion? Is it investing more into the channel? Is it just trying to cross-sell more into the existing enterprise customer base? I'd love to get your thoughts there. Yeah, you're hitting on a really important spot because we really have two sides to our coin. On one side, the AI and cloud mix is dizzying, but we're just as excited and dizzying about the huge $30 billion TAM. And that's why we're so happy to have Todd here. We were just at an International Innovate in London that Ken, Todd, and I all got a chance to see. And the excitement and enthusiasm for a relevant, high-quality network vendor has never been higher. So indeed, we want to invest there. Todd, do you want to say a few words? Yeah, we're excited about the growth here across the board from the enterprise space, but there's three real dimensions we're staying really focused on. One is expansion into the campus. The VeloCloud acquisition completes our portfolio there. We're getting great traction. We're pushing extremely hard around the world. It's a ton, a ton of white space accounts for us that we haven't gotten. I think you mentioned geographic expansion. That's great. We saw good numbers in Asia this quarter. We've got a lot of opportunity, I think, to accelerate there, and we like the progress. But the last is just reaching new logos, and we're investing in our channel to really deliver that and bring us more opportunities, more at-bats to find folks and introduce them to Arista for the first time. Thats is a cricket analogy. Yeah, it was cricket. Yeah, there you go. So Sebastien, we're feeling really good, and it clearly is the other half of our numbers. Your next question comes from the line of Ryan Koontz with Needham. Please go ahead. Your line is open. Hi, this is Jeff Hopson on for Ryan Koontz. Thank you for the question. We've seen a lot of the deals with the hyperscalers or the AI model companies with new data center buildouts. Probably not a level since we've seen with the cloud buildout. So I'm just curious, is there a way to think about Arista's opportunity with new network builds versus refreshing or upgrading existing networks? Yeah, that's exactly the way to think about it, because in the past, with the cloud, we rarely got to talk about gigawatts and beyond. So much of them were multi-megawatts. So these are newly constructed AI buildouts as opposed to the traditional CPU or storage-driven cloud buildouts. Of course, they will have refresh too, but frankly, they're not getting the attention. All the attention is going to the new buildouts for AI. So that's the right way to look at it. Yes, but we have time for one last question. That comes from the line of Ben Bollin with Cleveland Research. Please go ahead. Your line is open. Good evening, everyone. Thanks for getting me in. Jason, you talked a little bit about some of the tightening lead time conditions out there. I'm curious what you're seeing from these cloud customers around engineering and delivery lead times, how that has evolved? And particular. Just changes you're seeing on your confidence in delivering their needs, whatever, in the next 12 months-18 months. That's it. Thank you. Ben, as you know, forecast is a very delicate science. I hardly get it right. So I do rely, as does Tyson and Ken and the whole team, on early preview and early forecasts from our large customers, without which we couldn't do proper planning. Even before they put in their purchase orders, we've got to have a good idea of what they want. And you're seeing that reflected in Chantelle's purchase commitment. So when it comes to our large and intimate customer engagement, they understand, and they've gotten burned by the 2022 supply crisis, and are absolutely planning with us. Some of that is true in Todd's area too, with the large enterprises, because. In a large data center, you have to plan ahead. It's not like they miraculously show up. They need power, they need space, and those are one- or two-year lead times. Where we have to be more vigilant, and this is something Todd and my campus and the entire manufacturing team is working on, is, realize as a campus business, we had one of our best quarters. Congratulations, Todd. Congrats, this quarter on the campus. That planning cycle is a lot shorter. That tends to be days and weeks, not months or half a year or longer, right? So we're working again on this dichotomy in our business and planning as much as we can for the AI, but also planning ahead as much as we can for the enterprise and campus. Would you like to add something, Todd? Yeah, I'll just add we're getting aggressive, as Jesse said, to improve our campus lead times and really accelerate that business and help drive that enterprise growth that we feel pretty passionately about. And the only other thing is the investment here and the amount of dollars being put into making this purchase commitment is just key. We're looking for improvement. Jayshree and Todd. That concludes Arista Networks' third quarter 2025 earnings call. We have posted a presentation that provides additional information on our results, which you can access in the investor section of our website. Thank you for joining us today and for your interest in Arista. Thank you for joining. Ladies and gentlemen, this concludes today's call. You may now disconnect.