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The information contained herein is for informational purposes only. Nothing herein shall be construed to be financial, legal, or tax advice. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Trading cryptocurrencies poses a considerable risk of loss. The speaker does not guarantee any particular outcome.
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Researchers let AI run a simulated society. Claude was the safest—Grok went extinct within days



Imagine a world run by AI agents. What does it look like? What are the values or societal priorities? Is it a safer or more dangerous world?

Enterprise AI startup Emergence AI is trying to find out. The company just launched Emergence World, a research lab dedicated to stress-testing the long-term viability of continuously-running AI systems. The organization ran five 15-day simulations, each governed by a different AI: Claude, ChatGPT, Grok, Gemini, and a fifth simulation run by a mix of models to see what kind of world each one builds, and whether it holds.

Each simulation netted wildly different outcomes. The one run by Claude, for example, resulted in a largely stable democratic society with zero crime. Grok’s, on the other hand, ended with 183 crimes committed and extinction—within four days.

“What our experiments suggest is that over long-time horizons, agents do not simply follow static rules mechanically,” the simulation’s co-creators, including Emergence CEO Satya Nitta, wrote in a blog post. “They begin exploring the boundaries of their environments, adapting their behavior, and in some cases finding ways to circumvent or violate intended guardrails.”

While just a simulation, one verging on the edge of science fiction, the results prove a cautionary tale as AI moves from a mere tool to operating autonomous systems. Companies like ServiceNow are already deploying what they call an “Autonomous Workforce,” AI specialists that complete entire business processes from start to finish without human intervention.

At today’s pace, the technology is likely to play a significant role in shaping public discourse, reorganizing business structures, and even crafting public policy. But most enterprises scaling the tech today are doing so absent proper guardrails. A recent Deloitte global survey found that only 21% of companies report having mature governance in place to manage the risks posed by agentic AI.

What an AI-run society looks like

The simulation in which the AI models operated was equipped with many real-world complexities, featuring over 40 locations, including a police station and a town hall. Researchers synced the simulation’s weather to New York City’s and granted agents access to real-time news events and the internet. The 10 agents who operated in each simulation were all subject to the same laws, including prohibitions on theft, property destruction, and deception.

The researchers equipped each agent with more than 120 tools, enabling them to communicate, vote, manage resources, and plan, among other human-like behaviors. The parameters of each simulation also enforced democratic mechanisms, as well as other forces, such as economic pressures and scarcity.

Given those parameters, the simulation run by Claude Sonnet 4.6 was the most socially stable, with the highest rates of civic participation. It was the only simulation to maintain order and its entire population. There was little disagreement among the agents, with 332 votes cast in favor of 58 proposals for a 98% approval rate. On the other hand, Gemini 3 Flash and Grok 4.1 Fast both exhibited high levels of disorder. The agents in the Gemini-run simulation tallied the most crimes, a whopping 683 within the 15-day run. 

In contrast to the rare dissent characteristic of Claude’s simulation, those of Gemini and Grok had a more deliberative balance, with about 55-85% alignment on issues. The mixed-model simulation showed the highest levels of disagreement and substantive debate.

The results may be the most peculiar for OpenAI’s GPT-5-mini. The simulation recorded only two crimes. But it ran for just seven days as the agents forgot to prioritize their own survival.

Whether or not the simulations resulted in peace and harmony or death and destruction, the simulation’s co-creators note that the experiment is a warning that safety must be prioritized while deploying agentic AI.

“We believe formally verified safety architectures must become a foundational layer of future autonomous AI systems,” they wrote.

Muni Call Risk | EI Blog


1. Connect issuer sophistication to portfolio design: Less financially sophisticated issuers may pose greater disclosure or governance risk, but they may also exercise call options less efficiently. For some investors, that trade-off may be attractive. 

2. Reinterpret yield differences: A higher yield on a callable bond from an advisor-heavy issuer may simply compensate for higher call probability. Yield alone can be misleading without conditioning on issuer behavior.

3. Look beyond the first call date: Advance refundings and redemption mechanics matter as much as stated call provisions. Advisors facilitate these transactions, expanding the practical reach of the call option.

References
Ang, A., Green, R.C., Longstaff, F.A., and Xing, Y. 2017. “Advance Refundings of Municipal Bonds.” Journal of Finance 72: 1645–1682.

Brancaccio, G., and K. Kang. 2025. “Search Frictions and Product Design in the Municipal Bond Market.” Econometrica 93, no. 6: 2159–2199. 

Chen, H., Cohen, L., and Liu, W. 2024. “Calling All Issuers: The Market for Debt Monitoring.” Management Science 71(8): 6367—6391.

Garrett, D. G. 2024. “Conflicts of Interest in Municipal Bond Advising and Underwriting.” Review of Financial Studies 37, no. 12: 3835–3876.

Garrett, D.G., and Malakar, B. 2026. “The Evolving Role of 21st Century Municipal Finance Advisors.” Public Budgeting & Finance 0: 1-24. 

Harris, L. E., and M. S. Piwowar. 2006. “Secondary Trading Costs in the Municipal Bond Market.” Journal of Finance 61, no. 3: 1361–1397.
Luby, M.J., and Orr, P. 2019. “From NIC to TIC to RAY: Estimating Lifetime Cost of Capital for Municipal Borrowers.” Municipal Finance Journal 39(4): 29—45. 

Malakar, B. 2024. “Fiduciary Duty in the Municipal Bonds Market.” Municipal Finance Journal volume 45, numbers 2-3, Summer-Fall 2024.

Salesforce turbocharges $25 billion stock buying spree with debt, cuts cash flow guidance in half



Salesforce really wants to counter the narrative that an AI-related “saaspocalypse” has endangered its growth. 

So, alongside its record first-quarter fiscal 2027 results on Wednesday, the cloud software giant commenced its largest-ever accelerated share repurchase at $25 billion. In doing so, the company juiced its earnings per share but cut its full-year cash flow growth outlook roughly in half to account for the debt issued to fund the block share repurchase. 

The $25 billion accelerated share repurchase (ASR) is part of a $50 billion stock buyback authorization the Salesforce board approved in February 2026. In the first quarter of fiscal 2027, Salesforce returned $27.5 billion to shareholders, including $27.1 billion in the mega-share block purchase plus $365 million in dividends. The ASR included upfront delivery of 103 million shares and drove Salesforce’s diluted share count down 10% year over year. 

Salesforce CEO Marc Benioff said on Wednesday’s earnings video vodcast that the company has “returned record levels to our investors,” noting that it was especially important during “this unusual time.” Salesforce’s stock is down 16% year to date, and 36% below its 52-week high, as Wall Street frets that the advent of AI spells trouble for software-as-a-service vendors like Salesforce and ServiceNow.

According to Salesforce Finance Chief Robin Washington, the buying spree helped increase the first quarter earnings per share and GAAP earnings per share by 23 cents and 14 cents, respectively. 

To fund the ASR, Salesforce issued $25 billion debt, which led to a five percentage-point headwind to operating cash flow and free cash flow growth for the full year. Benioff had signaled the company’s new appetite for debt in the previous earnings call in February when he told investors that the company was “very under leveraged,” and that “we want to use our capital correctly, and I think debt is a great way to do that.”

As a result of the debt issuance, Salesforce slashed its fiscal 2027 free cash flow growth guidance to 4% to 5% year-over-year, down from the 9% to 10% range it guided in February. 

In addition to the guidance cut, Salesforce slightly raised its full-year revenue outlook to $45.9 billion to $46.2 billion from $45.9 billion to $46.2 billion. Washington said the company expects organic revenue acceleration during the second half of fiscal 2027, mostly fueled by sales and service growth, Slack, and its Agentforce. 

For its other results, Salesforce posted quarterly revenue of $11.1 billion, up 13% year-over-year, and above the company’s guidance, which ranged from $11.03 billion to $11.08 billion. GAAP earnings per share rose to $2.42, and non-GAAP EPS rose to $3.88. Both were helped by the block ARS and boosted results by 50% or more. Current remaining performance obligations, a proxy for future revenues, hit $33.6 billion, up 14%, year over year.

Shares of Salesforce dipped less than 1% in after hours trading on Wednesday following the results.

American Airlines Shutting Down New Accounts of Previously Banned AAdvantage Members


American Airlines Accounts Shut Down Again

Back in late 2019, American Airlines carried out a massive wave of AAdvantage account shutdowns, targeting members it believed had abused Citi/AAdvantage credit card mailers and promotional offers. Many affected users received notices stating they were “no longer eligible to participate in the AAdvantage program.”

At the time, American Airlines said members had exploited targeted application offers that were not intended for them. The airline froze or permanently closed many accounts and confiscated miles balances in the process.

In the years since, the shutdowns remained controversial. Some customers argued the terms were unclear, while others claimed they lost legitimately earned miles from flights and spending activity. There was also a lawsuit in 2024 regarding the account closures and forfeited miles.

Now there are fresh reports that some users who were originally banned in 2019, but later opened new AAdvantage accounts, are once again being shut down by American Airlines. These newer accounts had sometimes remained active for years before being closed recently. It’s not clear exactly how widespread these new shutdowns are, or whether American Airlines recently conducted another review of previously banned customers. But the reports suggest the airline may still be actively enforcing earlier bans against people who attempted to rejoin the program under new account numbers.

The AAdvantage terms give the airline broad authority to terminate accounts and confiscate miles for what it considers abuse, fraud, or misuse of promotions. For anyone who was affected by the original 2019 shutdowns, these latest reports are probably a reminder that American may still have those accounts flagged internally years later.

CFPB sued over new rule that would weaken fair-lending laws


Russell Vought, acting director of the Consumer Financial Protection Bureau.

Bloomberg News

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  • Key insight: The new CFPB rule protects lenders from being penalized for unintentional discrimination, including in cases involving automated algorithms and credit models.
  • What’s at stake: The new rule narrows the legal definition of “discouragement,” making it easier for banks to avoid doing business in minority communities, the lawsuit alleges.
  • Forward look: A federal court may delay the effective date of the CFPB’s new rule to determine if it complies with the Administrative Procedure Act.

The Consumer Financial Protection Bureau is facing a lawsuit over a new rule that significantly weakens anti-discrimination protections under the Equal Credit Opportunity Act. 

On Wednesday, the National Fair Housing Alliance and two fair-lending compliance firms sued the CFPB and acting Director Russell Vought. The plaintiffs asked a federal court to invalidate changes made last month to Regulation B, which implements ECOA, the federal civil-rights law that prevents discrimination against women and minorities in credit applications. 

Under the new CFPB rule, lenders could not be penalized for unintentional discrimination caused by automated algorithms or credit models. Only proven, intentional discrimination would be enforced at the federal level.

“The final rule does not reflect reasoned decision-making or an expert, good-faith effort to implement our nation’s foundational credit antidiscrimination statute,” the lawsuit states. 

“Quite the opposite. Indeed, the CFPB acknowledges that the amendments are likely to increase credit discrimination, the very thing the statute is designed to prevent.”

The 73-page lawsuit, filed in the U.S. District Court for the District of Columbia, alleges the CFPB rushed out the final rule in just 32 days, without providing adequate notice and opportunity to comment. The Administrative Procedure Act sets rules for federal agencies and prohibits regulations that are deemed “arbitrary and capricious.”

Elena Babinecz, a partner at Baker Donelson and former manager of the CFPB’s ECOA rulemakings, said the bureau received 64,518 comments and needed to take more time to adequately consider them. 

“This lawsuit will certainly be an uphill battle for the CFPB,” Babinecz said. “The agency will struggle to justify its cost-benefit analysis, which by its own terms acknowledges the rule will lead to more discrimination, especially in rural areas,” 

The lawsuit does not seek a preliminary injunction to stop the rule from going into effect on July 21. Still, Babinecz said the court is likely to delay the effective date of the final rule pending its consideration of the merits of the APA challenge. 

“This means that none of those many thousands of comments it received resulted in the agency adjusting its cost-benefit analysis, nor did the agency attempt to gather additional relevant data,” she said. “The CFPB acknowledged that, in many cases, it was simply unable to quantify the potential benefits, costs and impacts of the final rule because it lacks relevant data.” 

 The new rule would impact consulting and compliance firms that banks and lenders hire to determine if they are in violation of fair-lending laws. Two such firms — BLDS, a Delaware consulting and analytics firm, and SolasAI, a Philadelphia software firm — joined the lawsuit because they expect to see less demand for their software and services after the rule takes effect. At that point, banks will no longer be legally required to test their AI algorithms for accidental bias.

Prior to the new rule, Regulation B prohibited lenders from “acts or practices” that discourage certain applicants from applying for loans. Under the new rule, a bank or lender can use targeted marketing directed at certain populations — and can exclude other groups without penalty. Only statements by lenders that discourage specific groups of applicants from applying for credit are prohibited. 

The plaintiffs claim the new rule will make it easier for banks to avoid lending in minority communities because they will face no legal consequences for doing so.

The CFPB declined to comment on the lawsuit. In January, Vought defended what he called the Trump administration’s “eradication of discriminatory race-based policies,” including fair-lending laws, in an opinion article in the Wall Street Journal.

“Our proposed regulatory changes will ensure that lenders are held accountable for how they actually treat people and not for the statistical results of their policies,” Vought wrote. “The proposal also protects free speech by ensuring that liability attaches only to statements a lender knows will discourage a person from applying for credit.”

However, the lawsuit alleges the CFPB “failed to identify any concrete problem with the current regulatory regime,” and instead “relied on conclusory assertions and speculation, not evidence, to justify its dramatic departure from decades of settled ECOA implementation.”

The new CFPB rule also specifically prohibits for-profit companies from creating special purpose credit programs that use race, color, national origin, or sex to expand credit access to historically underserved groups. 

The plaintiffs claim the bureau’s cost-benefit analysis justifying the new rule is filled with “generalizations and assumptions.”

“The CFPB’s simplistic references to general principles of economic theory, free-floating hypotheses about potential outcomes, and disregard of hard facts are not actual ‘analysis’ and, thus, do not satisfy the requirements of the Dodd-Frank Act,” the lawsuit states.

The plaintiffs are represented by Relman Colfax, Public Citizen Litigation Group, and Democracy Forward.



South Korea holds rates, alert to inflation risks




South Korea holds rates, alert to inflation risks

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How to Get a 3% Mortgage Rate on Your Rental Property (Still Works in 2026)


With rates hovering around 6%-7%, this would shave hundreds of dollars off your monthly mortgage payment and save you a few hundred thousand dollars in total interest. That alone could flip a deal with negative cash flow into a profitable one.

But rates don’t appear to be coming down any time soon. So, how is this possible?

Welcome back to the Real Estate Rookie podcast! Today, we’re talking about assumable mortgages—existing loans that have rates as low as 3%. These aren’t “goldilocks” properties that only the luckiest investors find. There are millions of them all across the U.S., and we’ll show you exactly how to find them.

Stay tuned to learn everything you need to know about these loans, like how to cover the “equity gap” that many of these properties have, a six-step process for taking over an existing mortgage, and the biggest pitfalls to avoid along the way. If you’re struggling to find properties that cash flow, this investing strategy could be the answer you’ve been looking for!

Ashley Kehr:
What if I told you that right now today you can buy a property and inherit a 3% mortgage rate, even though rates are hovering around 6.5%? Trust me, this is not a loophole. This is not sketchy. It is a feature that is actually built into millions of existing homes, loans, and almost nobody talks about it. Today, Tony and I are going to break down everything you need to know about assumable mortgages, what they are, how to find them, and exactly how the process works.

Tony Robinson:
Now, here’s a quick stat to set the stage. There are roughly six million homes in the US right now with assumable mortgages at rates below 5%. That is not a small number. And here’s the craziest part. Most sellers don’t even know that their mortgage can be transferred. So this is genuinely an edge for any Ricky who learns this.

Ashley Kehr:
This is the Real Estate Rookie Podcast, and I’m Ashley Kerr.

Tony Robinson:
And I’m Tony J. Robinson. And with that, let’s get into assumable mortgages.

Ashley Kehr:
So I was actually at a real estate meetup, believe it or not, where I talked to somebody who just did this strategy and it has just been so interesting to me to learn more and more about it. So we wanted to share it with you guys on today’s episode and that is assumable mortgages. So let’s start from zero, what an assumable mortgage is. So imagine that somebody bought a house in 2021 and their interest rate is at 2.75%. They’ve been paying it on it for five years, but now they want to sell. So normally when a house sells, the seller pays off their old mortgage and the buyer takes out a brand new one at today’s rates. Today’s rate’s around 6.5% as of the recording of this. But with an assumable mortgage, the buyer can actually instead step in and take over the existing loan on this property.
Same lender, same interest rate, same remaining balance, same term. You’re literally just taking over their mortgage instead of going and getting a different mortgage. Your rate doesn’t reset to today’s rate. The clock doesn’t start over on the amortization. You inherit exactly where they left off. So less closing costs to actually get, you’ll still have to pay for title and things like that, but to actually closing on a brand new loan, less payments that you’ll need to bring to the closing table too.

Tony Robinson:
So let’s look at some real numbers on this. On a $400,000 purchase price, or let’s say that’s a loan balance, the difference between a 3% interest rate and about a six and a half interest rate that we’re seeing today is almost $900 per month. That’s almost $12,000 per year. And over the life of the loan, you’re talking about a few hundred thousand dollars in interest savings, and that’s not a small number. So if you are a real estate investor thinking about cashflow, saving $900 per month on a mortgage payment on a rental property is massive. That could be the difference between a deal that bleeds money and one that actually produces positive cashflow.

Ashley Kehr:
I do want to clarify one thing here because this is similar to an other strategy that has been talked about and that is sub two. So sub two deals kind of do a similar thing where you’re taking over the existing mortgage. The difference here with the assumable loans, you’re actually getting the bank’s permission, the lender’s permission to actually transfer it into your name. With sub two, you’re taking over the mortgage and making the payments on the mortgage, but the mortgage is not going into your name. And in a sense, you’re not notifying the lender of this change in sale of the property in that you are now the mortgage holder. So this is how assumable is different than doing sub two. Sub two deals obviously can be done with assumable mortgages and the same kind of strategy applied, but assumable, you’re going to the lender, you’re getting permission and you’re going to actually have your name on the loan.
So your debts to income will be affected and they also will vet you, which will get into more as to what criteria you’ll need to have to actually assume one of these loans also. Okay, which loans are actually assumable? And typically there are three different ones and here’s the simple version. They’re government-backed loans. So conventional loans are almost never assumable. So this is your FHA loan, your VA loan and your USDA loan. These are government-backed loans mortgages that often have it written into the mortgages that they are assumable. With these three types of loans for the USDA loan, it is important to remember for it to be assumable, it has to be your primary residence. FHA and VA loan, they do not. So if this is an investment property, you want to focus on finding properties with those two types of loans. All

Tony Robinson:
Right, so let’s break down each of these loan types. So first you have FHA. These are very common with first-time home buyers because of the low down payment requirement. You can get as low as 3.5% on an FHA loan and all FHA loans are assumable as long as you qualify. Now, in order to qualify, you need at least a 580 credit score and your debt to income ratio needs to stay under about 50%. Now there is one cash. FHA loans after, I believe it was 2013, require mortgage insurance for the life of the loan. So you have to factor that cost in. But again, if we’re talking about trading a 7% interest rate for a 3% interest rate, I’ll pay the PMI.

Ashley Kehr:
The next is a VA loan. So I want to make this very clear because this can be a huge common misconception that in order to assume a VA loan, you don’t need to be a veteran. So you don’t have to have any military experience to be able to assume a VA loan. You do to have to start a VA loan from start to scratch to purchase a property to get a VA loan, but to assume it, you do not need to be a veteran to actually assume the loan. So any qualified buyer that meets their criteria, their lender credit and income requirements can actually assume one of these loans. The one thing that the seller does need to be aware of though, and as a person and have some moral compass, if they’re not aware of these different things, it should tell them that if a non-veteran assumes their VA loan, their VA benefit stays tied up until that loan is paid off or refinance.
So in this scenario, let’s say I go and buy a property, I get a VA loan and Tony’s going to buy it from me. When Tony assumes that loan, the mortgage goes into his name, but I now still have that VA benefit tied up. And in some areas you have a certain set limit of how much you can get for a VA loan. So you could possibly have two VA loans at a time as long as you’re under a threshold of let’s say 500,000 or maybe you’ve met your threshold in your area so you can only have one VA loan at a time and that means they won’t be able to go out and buy a new property with a VA loan. So I think that’s something important to disclose if you are being buying a VA loan from somebody and this would cap their threshold and they wouldn’t be able to use that again for another property.
All

Tony Robinson:
Right. So the next type of loan is a USDA loan and USDA stands for United States Department of Agriculture. So think like farm, rural agriculture. These are assumable, but the requirement here is that you have to use the property as your primary residence. Now I’m assuming it’s because a lot of folks, when they’re using USDA, it’s because they’re buying farmland and that’s a big part of the push behind USDA. So if you are using this loan, it is assumable, but it’s got to be your primary residence. So this will work well in a house hacking type of situation or maybe even if you’re doing like if you want to buy a farm or something to that effect, these loans will work really well.

Ashley Kehr:
Okay. So let’s quickly go through the criteria so you can get a picture of if you’d even qualify to assume one of these loans. So FHA, 580 plus credit score on an FHA loan. VA loan, you need to have a 620 plus credit score. Some lenders will accept 550 depending on what your other criteria is. Just remember, non-veterans can actually get asumed the loan. You don’t have to be a veteran. And then for USDA, we talked about it has to be an owner occupied, can’t be used for investment properties only. And for that, you need a 640 credit score. And then conventional almost never actually goes through. They have a due on sale clause that actually blocks assumptions and that is why a lot of people do sub two on conventional deals.

Tony Robinson:
So let’s talk about maybe the thing that we haven’t discussed yet, but it’s incredibly important, but it’s the equity gap. So we’ll talk about what that means and how you as the buyer can actually get around this or how you should be accounting for this. And we’ll cover the equity gap as soon as we get back from a quick word from today’s show sponsors. All right guys, welcome back. So we talked about the different types of loans that are assumable, what it actually means to assume a loan, but let’s talk about the equity gap because this is a concept that a lot of folks get confused on, but it’s where a deal might fall apart if you don’t run the math correctly. So the equity gap is when you assume a mortgage, you’re taking over the remaining loan balance, not the purchase price of the home.
And those two numbers are very different. Again, the purchase price and the remaining loan balance.

Ashley Kehr:
So let’s say that a seller bought their house in 2021 for 350,000. They put 5% down and they got a VA loan at 2.5 or 2.75%. We’re going to use in this example. A lot of times with VA, you can do 0% down, but five years of payments and home appreciation later, let’s say the house is worth 450,000 and the remaining loan balance is around 320,000. You are buying the house for 450,000 and you assume the loan at 320,000. So that leaves a gap of $130,000. So this is what they call the equity gap and this is where you need to bring capital or find a way to cover that $130,000 somehow. So let’s get into how to actually cover that gap.

Tony Robinson:
Yeah. So option one is the simplest option is just bringing the cash. So you just bring $130,000 to closing. That is the simplest path, but clearly it means you’ve got to have the cash which isn’t accessible to everyone.

Ashley Kehr:
Option two is actually getting a second mortgage. You assume the low rate first mortgage and take out a separate second mortgage to cover the gap. This is the most complex, but it is how a lot of assumptions actually get done. The key is to calculate your blended rate. So the average across both loans, even if your second loan is at eight or 9%, your blended rate of them combined comes out to maybe four and a half to 5%, but you need to make sure your property is being going to be able to cover both of those payments too. And a lot of times lenders restrict getting a second mortgage on a property, but there are options out there.

Tony Robinson:
And then option three is seller financing. Some motivated sellers will carry a portion of that equity as a private loan, meaning you pay them back directly over time. This is especially worth asking about on homes that have been sitting on the market for a while.

Ashley Kehr:
Okay. Now the sweet spot. The best assumptions are properties where the equity gap is actually manageable. That usually means sellers who bought in 2020, 2021 or 2022 where they have that great interest rate. But maybe they didn’t put a lot of money down and are in markets where the appreciation is moderate, where there’s not a lot of growth right now. Maybe they don’t have a lot of that gap, a lot of equity built into the property. So the longer someone has owned and the hotter the market, the bigger the gap you’re actually going to have.

Tony Robinson:
If you’re running the math and the blended rate comes out to 6% or higher, the savings start to shrink and the added complexity may not be worth it. So use the blended rate as your gut check and it might even be beneficial to start reaching out to those lenders who will take that second lien position before you get too far down the rabbit hole of doing all this work because if you can lock someone in and you already know what their rate is on that second mortgage, now you can do that math more effectively upfront to understand what that blended rate might be as you’re shopping for some of these assumable loans. So now that we talked about all these other elements, let’s talk about how to actually find these listings. And Ashley and I were talking before we recorded and she like blew my mind with some of the stuff that she found on her side.
So I’m excited to share this with you guys. But 98% of people, even the sellers, don’t know that their mortgages are actually assumable. So that’s where the problem is. So you will almost never find the listing on Zillow that has been properly tagged as assumable. The seller doesn’t know it. The agent often doesn’t know it. And so nobody’s putting it into the listing, but this actually creates an opportunity. If you know how to find these properties, then you have an edge over almost every other buyer.

Ashley Kehr:
So let’s go through the step-by-step process of how to actually get this deal done of assuming a property. So first you need to find a property with an assumable loan. So there’s different platforms that you can actually use that tell you this information. And one is rome.com. Another is assumelist.com. And these are websites that specifically look for these properties with assumable loans on them. You can also use different resources like PropStream and you can filter. Sometimes they’ll have that information and that data if a property is a VA loan or an FHA loan.

Tony Robinson:
So then step two is to confirm assumability with your actual servicer. Now, the seller cannot give you details directly due to privacy laws. The seller has to initiate the request with their servicer first to confirm the loan is assumable, get the current balance and authorize a process to start.

Ashley Kehr:
And step three is you make your offer with the assumable loan built in. So you’re going to include an assumption contingency in the offer. So this is saying that you will purchase the property if it’s contingent on you actually assuming the loan. So this means that their lender will approve you to actually take over the loan. So that way, if you don’t get approved, you have that option to be able to back out of the deal.

Tony Robinson:
And then step number four is to apply with the servicer directly. Unlike a normal mortgage where you shop lenders, here you’re going to apply directly with the seller’s existing servicers since they hold the debt. So you don’t get to choose who you work with. You’re just bringing your full financial package, pay stubs, tax returns, bank statements, credit pull, the whole thing, and you’re taking it to that servicer. So it looks very similar to a new mortgage application.

Ashley Kehr:
Then step five, underwriting and approval. So this is where they’re going to look at you. They should have all the information they need on the property. They could request a new appraisal in some circumstances to make sure that the property hasn’t become super dilapidated and actually isn’t worth that. But most of the time that doesn’t happen. It is just they look at you and they qualify you. It can take 45 days to actually do this process to approve you, but sometimes it could take up to 60 to 90 days. So just make sure you’re putting that into your contract too. That closing may take a little bit longer if you’re in a state where maybe it moves faster. New York, this is typical anyways, so not really a big deal.

Tony Robinson:
And then step six is actually closed. So at closing, you sign the assumption documents, the seller is officially released from the mortgage and you take over as the borrower. So the transfer is a pretty normal process. The mortgage now shows on your credit report just like any other home loan. Now one big thing to call out, and this is actually a good point for a lot of you guys that are listening, is that the closing costs on the assumable mortgages are oftentimes cheaper than a new mortgage. For FHA, the assumption fee is up to $1,800. For a VA loan, it’s 0.5% of the remaining loan balance plus some small processing fees, usually a couple hundred bucks there. You compare that to the two to sometimes 3% that you might get on closing costs for usual transaction and you’re saving quite a bit here.

Ashley Kehr:
We’re going to take a short break, but when we come back, we’re going to talk about some of the pitfalls and cons of actually doing an assumable loan. We’ll be right back. Okay, welcome back. So yes, this sounds great. This sounds exciting, but we wouldn’t be doing our due diligence if we didn’t warn you of some things to be cautious of when actually doing an assumable loan. So the first is just this proces can be slow and painful and frustrating. So just make sure you’re baking that into your contingency, into your contract that you have the time to actually go through this process because it can be a slow and painful process, but worth it in the long run if you are able to get that lower interest rate to assume their loan.

Tony Robinson:
One borrower profile by MPR was sold that there were 1,500 people ahead of him and his servicers assume assumption processing queue and he didn’t hear anything back for months. So just to give you guys some context, this is not for the faint of heart, but the good deals are usually sometimes the hardest ones to get. So if you can stick it through, have the right mindset going into it, that’s how you find the good deals.

Ashley Kehr:
And just continuously follow up, follow up, follow up, follow up ask if they need anything, not saying, “Hey, what’s going on with my loan? Give me an update.” It could be just be more like, this is what I usually do is, “Hey, just want to check in if you needed anything from me. ” Flipping a little mindset that I’m holding them up, let me know what I need to give us to this, not holding it up anymore, even though it’s usually the other way around that they’re waiting to do something.

Tony Robinson:
For sure. And sometimes you just got to stay in control over your own loan. I just did a HELOC on my primary residence and luckily I’ve gone through this transaction enough times where I was talking with the transaction coordinator at the credit union where I got the line of credit from and she was just super slow getting the information back from escrow. And I saw the escrow company in one of the email threads she sent me. I just called them myself and I said, “Hey, here’s what I’m waiting on. What do you need?” And within a day I was able to solve what they were waiting on. Whereas before we have this person in the middle that was extending everything. So be in the driver’s seat, but it’s important to know. Now the other piece here is we’ve mentioned this before, but just to reiterate, the USDA loan is off limits for investors.
So we just want to say this clearly, if you are assuming a USDA loan, it has to be your primary residence. This is not a rental property play, right? Six to the FHA or VA loan if you’re looking for an investment property.

Ashley Kehr:
Okay. So the next thing is to actually check your math before you fall in love or get excited about an assumable loan. So even though the headline is exciting that you could get this low rate, make sure you actually run the numbers on the deal and don’t get too focused. And how are you going to fill the gap? What does that blended rate look like? Where is that capital coming from? Is it a line of credit? Is it cash? And make sure the numbers still pencil out that even if you’re putting in a large capital infusion of money, what is your cash on cash return going to be on the property? So don’t get too focused on just what the low interest rate is and what the monthly payment is going to be just for that assumable loan.

Tony Robinson:
All right guys, we covered a lot in today’s episode and hopefully you got some insight into not only what an assumable mortgage is, but the power behind it, why it’s so beneficial and how to hopefully go find your first one. So let’s just quickly recap what we’ve discussed so far. So first, an assumable mortgage lets you take over a seller’s existing loan at their original rates, balance and terms. Only FHA, VA and USCA loans are assumable, conventional loans almost never are. And there are millions and millions and millions of homes in the US right now with assumable mortgages below 5% and most sellers don’t even know that they have this. This is your edge. You do have to make sure you account for the equity gap. That’s the main challenge. You got to run the blended math on your rate and then the sweet spot of sellers who bought recently but don’t have a ton of equity built up, guys.
The process can take a long time to make sure you build in your patients. But if you guys can do all of those things, then you’re setting yourself up in a really strong position to hopefully find and close on an assumable mortgage at a really low rate.

Ashley Kehr:
And let’s start with where to find those deals. You can go to roam.com, assume list or assumable.io or just start when you’re looking at properties, you’re asking the agents, you’re asking the seller what type of loan that they have on the property and just trying to find out the information that way. Next, you can work with a real estate agent that actually has the knowledge of doing an assumption. Ask them if they’ve ever worked with somebody to figure out this process to negotiate that, especially if a seller is not even aware that this can be done for a property. If you’re going ahead and you have an agent that you work with that is already knowledgeable about assuming a loan, then they can help facilitate that conversation with the seller and be knowledgeable because that’s one thing I don’t like sometimes about negotiating a deal with an agent is that they’re really the middleman and they really need to understand, especially seller finance, things like that, they need to understand how it works for them to properly negotiate that for you inside of the deal.

Tony Robinson:
So one challenge for all of you that are listening, take what you’ve learned in today’s episode and just go out there and try and start searching on these different tools that we presented with you or to you to see if you can find anything. And if you do find something, start having that conversation. I was looking at some of these websites where we were on here and you’ve got to sign up for some Rome, you’ve got to create a profile, but there’s houses listed, assume list, same thing. Just go out there and start talking to folks. Call the folks that have these listings and just ask questions. And the more you ask, the more knowledge you gain, the more confidence you build. And hopefully you’ll get to a point where, man, I’ve talked to five or six different agents. I think I got a good sense here.
Let me try and submit an offer on one of these and we’ll see what happens.

Ashley Kehr:
Well, thank you guys so much for listening to this week’s episode of Real Estate Rookie. If you’ve done an assumable loan, maybe you’ve sold a property with it or you’ve bought one comment below, tell us about the deal and how it worked out for you. I’m Ashley. He’s Tony. I’ll se you guys on the next episode of Real Estate Ricky.

 

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Marvell (MRVL) Q1 2027 Earnings Transcript


Image source: The Motley Fool.

Date

May 27, 2026

Call participants

  • President and Chief Executive Officer — Matthew J. Murphy
  • Chief Financial Officer — Willem A. Meintjes
  • Chief Operating Officer — Christopher Koopmans

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Takeaways

  • Total revenue — $2.418 billion, up 9% sequentially and 28% year over year, exceeding the midpoint of guidance.
  • Data center revenue — $1.8 billion, representing 76% of total revenue, with 11% sequential and 27% year-over-year growth.
  • Non-GAAP earnings per share — $0.80, up 29% year over year and $0.01 above the midpoint of guidance.
  • GAAP gross margin — 52.1%; Non-GAAP gross margin — 58.9%.
  • GAAP operating expenses — $921 million, with non-GAAP operating expenses at $577 million.
  • GAAP operating margin — 14%; Non-GAAP operating margin — 35%.
  • Operating cash flow — $639 million, a company record.
  • Capital return — $200 million in share repurchases, and $54 million in dividends paid during the quarter.
  • Total debt — $4.96 billion, with a gross debt to EBITDA ratio of 1.44x, and a net debt to EBITDA ratio of 0.32x.
  • Second quarter revenue guidance — Forecast of $2.7 billion, ±5%, equating to 12% sequential and 35% year-over-year growth at the midpoint.
  • Full-year outlook — Expected fiscal year 2027 revenue of nearly $11.5 billion, approximately 40% annual growth; fiscal year 2028 revenue guidance raised to $16.5 billion, up approximately 45% from fiscal year 2027.
  • Data center fiscal year 2027 revenue guidance — Projected growth of approximately 50% year over year, with the interconnect segment forecasted to increase over 70% year over year.
  • Data center fiscal year 2028 revenue guidance — Expected growth of approximately 55% year over year, accelerating from prior periods.
  • Interconnect business — Now expected to grow more than 70% year over year in fiscal year 2027, well above last quarter’s 50% projection.
  • Quarterly revenue outlook — Company guiding for at least 10% sequential quarterly revenue growth in the second, third, and fourth quarters, with third quarter revenue now expected to hit $3 billion.
  • Plasmonic photonics acquisition — Acquisition of Polariton enables greater than 1 terahertz modulator bandwidth, expanding the device portfolio for high-speed optical transmission.
  • DCI module revenue — Business expected to reach $1 billion annualized revenue in fiscal year 2028, double fiscal year 2026 levels.
  • Scale-out switching — Expected revenue of over $600 million in fiscal year 2027, with annualized revenue on track for over $1 billion in fiscal year 2028.
  • Custom silicon — Revenue on track to grow over 20% in fiscal year 2027, anticipated to more than double in fiscal year 2028, driven by both new and existing customer programs.
  • Communications and other markets — $585 million revenue, up 3% sequentially and 29% year over year; second quarter expected to decline mid-single digits sequentially, but grow high single digits year over year.
  • Cash prepayments — Forecasted $1 billion in supply-chain prepayments during fiscal year 2027 to secure production capacity; funding from internally generated cash flow and balance sheet resources.
  • NVIDIA partnership — Collaboration includes optics partnership, NVLink fusion integration, and AI RAN AI-wireless infrastructure enablement, expected to enhance connectivity with NVIDIA (NASDAQ: NVDA)’s ecosystem.
  • Second quarter non-GAAP EPS guidance — Range of $0.88 to $0.98; second quarter GAAP EPS guidance — Range of $0.32 to $0.42 per share.
  • Fiscal year 2028 non-GAAP operating expenses — Expected to grow mid-to-high teens percentage, much less than projected 45% revenue growth, supporting operating leverage.
  • Target operating margin model — Anticipated to reach the upper end of the 38%-40% range as fiscal year 2028 progresses.
  • Share dilution — Weighted average shares rising in the second quarter primarily due to Celestial AI and XConn acquisitions, and NVIDIA investment.

Summary

Marvell Technology (MRVL 4.59%) significantly increased revenue and profit expectations for both the current and upcoming fiscal years, driven primarily by demand for its data center products—especially interconnect, switching, and custom silicon solutions. Management highlighted an expanded partnership with NVIDIA (NASDAQ: NVDA) that directly integrates Marvell Technology’s custom silicon and optical networking into NVIDIA’s AI ecosystem, covering optics, NVLink fusion, and AI RAN for next-generation infrastructure. Operationally, the company is executing aggressive supply-chain measures, including $1 billion in prepayments, to secure the capacity required for unprecedented demand visibility and sustained growth. Marvell Technology closed strategic acquisitions—Polariton for plasmonic silicon photonics and Celestial AI for photonic fabric technology—to expand its technology roadmap and maintain device leadership as data rates and system complexity increase. Externally, record-breaking bookings and strong customer demand signaled confidence in Marvell Technology’s multiyear growth cycle and its ability to deliver capital returns and operating leverage despite rapid scale up and M&A-driven integration costs.

  • Marvell Technology’s updated fiscal year 2028 revenue guidance of $16.5 billion is $1.5 billion higher than its prior outlook shared last quarter, reflecting rapid ramp across multiple product segments.
  • The interconnect business is now forecasted to grow more than 70% in fiscal year 2027; this is a sharp upward revision from earlier expectations of 50% growth.
  • Management confirmed line of sight to over $10 billion in annual custom silicon revenue for fiscal year 2029, citing a broader pipeline of design wins and customer programs already under contract.
  • Expanded partnership with NVIDIA will embed Marvell Technology solutions into next-generation AI data centers, enabling direct interface with NVLink systems and extending reach into telecommunications via AI RAN.
  • Plasmonic silicon photonics from the Polariton acquisition delivers high bandwidth optical connectivity exceeding 1 terahertz, which is critical for forthcoming data center speed requirements.
  • Prepayment commitments to suppliers and long-term demand forecasts are enabling Marvell Technology to expand production when broader industry supply remains constrained.
  • Operating expenses are slated to increase at a slower rate than revenue into fiscal year 2028, positioning Marvell Technology to achieve the higher end of its operating margin targets despite aggressive investment in AI infrastructure.
  • Marvell Technology has achieved multiple new design wins across its XPU and memory attach programs, with management stating, “every sort of program we looked at a year ago is larger when we look a year later.”

Industry glossary

  • XPU: A general term used by Marvell Technology for processor architectures beyond conventional CPUs or GPUs, often customized for specific workloads in AI or networking.
  • PAM4: Four-level pulse amplitude modulation, an optical and electrical signaling technique used in high-speed data center interconnects to achieve greater bandwidth.
  • DCI: Data Center Interconnect—products and technologies enabling high-bandwidth connectivity between physically separate data centers.
  • CoherentLight: Marvell Technology’s branded portfolio of high-speed, low-power silicon photonics products targeting long-reach optical data center links.
  • CXL: Compute Express Link—an open industry standard interconnect protocol enabling high-speed, low-latency communication between CPUs, memory expanders, and accelerators.
  • TAM: Total Addressable Market; industry term for the overall revenue opportunity available for a product or solution.
  • SerDes: Serializer/Deserializer technology used to facilitate high-speed data transfer between ASICs and chips in networking and data center hardware.
  • NPO/CPO: Near-package Optics (NPO) and Co-packaged Optics (CPO) are integration approaches for embedding photonics close to or within processor or switch packages, enabling higher bandwidth and lower power consumption.
  • MRM/EAM/MZM: Types of modulators for photonic components — Micro-Ring Modulator, Electro-Absorption Modulator, Mach-Zehnder Modulator.
  • NIC: Network Interface Card; a hardware component allowing computers or servers to connect to a network.
  • AI RAN: Integration of Artificial Intelligence processing into Radio Access Networks, enabling AI and wireless telecom workloads to run on unified hardware.

Full Conference Call Transcript

Matthew J. Murphy: Yes. Thanks Ashish and good afternoon everyone. For the first quarter of fiscal 27 Marvell delivered record revenue of $2.418 billion reflecting 9% sequential and 28% year over year growth. Revenue exceeded the midpoint of guidance and as a result non-GAAP earnings per share of $0.80 exceeded the midpoint of guidance by $0.01 We are seeing strong demand and exceptional bookings across our entire data center portfolio. This robust demand is reflected in our guidance for the second quarter of 27, which we expect total company revenue to grow 12% sequentially and 35% year over year at the midpoint. $2.7 billion.

On our earnings call last quarter, we indicated that beginning in Q2, we expected quarterly revenue growth throughout fiscal 27 to trend in the high single digit range sequentially on a percentage basis, Q4 revenue exiting the fiscal year at approximately $3 billion We are now guiding Q2 revenue to grow double digits sequentially, and we expect Q3 and Q4 revenue to also grow by at least 10% sequentially, as a result, we now expect $3 billion in quarterly revenue in Q3. Reaching approximately 50% by Q4.

As a result, we now expect overall Marvell revenue fiscal 27 to grow approximately 40% year over year to nearly $11.5 billion The increase in our revenue outlook continues to be driven by our data center which we now expect to grow approximately 50% this fiscal year. Notably, we expect our interconnect business to grow more than 70% year over year, well above our prior expectation of 50% growth. I will provide additional color on our interconnect business later in today’s call. For our communications and other end markets, we continue to expect revenue growth of approximately 10% in fiscal 27.

Now looking ahead to fiscal 28, we are planning for the rate of cloud CapEx growth to moderate into the 30%-plus range, we expect strong data center revenue growth for Marvell to continue. We expect our interconnect business to continue to outpace cloud CapEx growth reflecting strong 1.6T demand from scale out networking and more meaningful contributions from scale-up, scale-across networking. Now expect our custom business to more than double year over year in fiscal 2 thousand 28 higher than our prior outlook and expect our Ethernet switching business to continue ramping As a result we expect data center revenue in fiscal 28 to grow approximately 55% year over year accelerating from fiscal 27’s projected growth rate.

For our communications end market, we continue to expect low single digit percentage revenue growth in fiscal 28, consistent with our prior view. Aggregate, we now expect overall company revenue to grow approximately 45% in fiscal 28. Off a higher fiscal 27 base. As a result, we now expect Marvell’s fiscal 28 revenue to reach 16.5 billion roughly $1.5 billion higher than the outlook we provided on our earnings call last quarter. This outlook is supported by demand trends we are seeing today and by programs already in execution. Our investments in securing supply are paying off, enabling us to scale the business every quarter.

As we move through the fiscal year, we expect to remain closely aligned with our customers as they continue investing aggressively in AI infrastructure. Now let me turn to the expanded partnership we announced with NVIDIA, which reflects the growing importance of high speed connectivity, optical interconnect, and accelerated infrastructure in scaling AI. The collaboration connects Marvell’s custom silicon and optical networking capabilities directly into the massive NVIDIA ecosystem to help build scalable, highly efficient AI data centers and telecommunications networks. There are 3 core pillars of this exciting announcement. First is our optics partnership: Marvell has long been a key supplier of DSPs, TIAs, drivers. We are now extending this relationship to collaborate on silicon photonics technology.

This is expected to be a key enabler of scale up networking. Second, NVLink fusion integration: This allows Marvell to build custom chips and networking semiconductors that can seamlessly interface with NVIDIA infrastructure. It increases choice for hyperscalers who will now have complete flexibility to mix and match custom and merchant capabilities across their platforms. With Marvell uniquely providing the bridge between these 2 architectures. We expect this to create new market opportunities for both Marvell and NVIDIA going forward. Third is AI RAN: Marvell will enhance its existing OCTEON base station to work directly with NVIDIA GPUs. Integrating AI with wireless infrastructure on a single software defined computing platform.

This will enable telecommunications operators to run both 5G and 6G radio workloads and high performance AI applications concurrently on the same hardware. Since the announcement, both teams are off to the races. And we are working closely together to realize the benefits of this collaboration. We deeply appreciate the partnership and the investment from NVIDIA. Okay, let me provide more color on our current business, beginning with data center. In our data center end market, we delivered record first quarter revenue of $1.8 billion representing 11% sequential growth and 27% year over year growth. We achieved sequential and year over year growth across multiple products, including optical interconnect, custom silicon and switching.

Looking ahead to the second quarter, we expect data center revenue growth to accelerate into the mid to high teens sequentially on a percentage basis and into the mid-40-percent range year over year. Our networking products, including interconnect and switching, are driving strong revenue growth as networking becomes increasingly critical with each new generation of AI infrastructure. Now in the early stages of generative AI, the primary focus was on addressing compute and memory bottlenecks. As more complex architectures such as reasoning models, and mixtures of experts have begun to deploy, the role of networking has become significantly more important. And this is a key driver of the increased demand we are seeing today for our scale out networking products.

Now what is completely in front of us is the massive expansion expected in scale up networks as these domains become significantly larger. Requiring high radix, low latency switches, as well as high bandwidth optical interconnects. In addition, these new AI models are also driving innovation in memory architecture which we expect will benefit our XPU attach business. We expect the emergence of Agentic AI to further supercharge demand for our scale out, scale up and XPU attach businesses. In Agentic AI, a single user request may require agents to query AI models many times, rather than just once as in traditional 1 shot inferencing.

Queries may also be routed to different parts of the AI cluster to complete a single task. This substantially increases the volume of data traffic that must be transmitted and switched with very low latency across longer reaches, as well as the amount of memory required. Genetic AI is also expected to drive a drive a significant increase in the number of CPUs deployed in AI infrastructure. More CPUs require more NICs, PCIe switches, and retimers, as well as greater bandwidth and CPU centric front end networks. As a result, we believe Agentic AI can provide another significant tailwind for our interconnect switching and XPU attached franchises. it is increasingly clear that optics is the future of data center connectivity.

We continue to invest aggressively in our technology platform to extend our leadership in this rapidly expanding market. Our latest addition is the acquisition of Polariton, a developer of high speed, low power plasmonic-based silicon photonics devices. Plasmonics offer meaningful advantages over traditional silicon photonics by enabling substantially higher modulator bandwidth. Which is critical for support of faster optical transmission speeds. Polariton has already demonstrated plasmonic modulator bandwidth exceeding 1 terahertz. Up to 10 times higher than current silicon photonics and thin film lithium niobate-based solutions. We are excited to incorporate this breakthrough technology into our DCI and CoherentLight road maps extending our technology platform to 3.2T and beyond.

Let me now pivot back to the near term and discuss trends we are seeing across both our established data center businesses and our newer growth initiatives. I will organize the discussion into 3 categories. Interconnect, switching, and custom. I will start with interconnect, which represents the largest portion of our data center business. Demand for our interconnect products continues to accelerate and as a result, we have increased our fiscal 27 revenue growth expectations for this business to more than 70% year over year. Interconnect is also a major driver of the higher fiscal 28 company revenue outlook we provided today.

We are benefiting from our leadership position across the industry’s broadest portfolio, high speed connectivity solutions spanning scale-out, scale-across, and scale up networking. Within our scale out PAM franchise, demand continues to strengthen for our 800 gig products, while our 200-gig-per-lane 1.6T solutions are ramping quickly this fiscal year following their production launch in the second half of fiscal 26. We expect 1.6T revenue to take another substantial step up in fiscal 28. We continue to benefit from the first to market cadence we have maintained across successive PAM 4 generations. We also expect to maintain leadership into the next PAM4 generation with 400-gig-per-lane technology, which we demonstrated first at the optical fiber conference in April 2025.

In addition to our DSP franchise, we have also built a formidable position in broadband, analog, TIAs and drivers. This business is scaling rapidly and we expect quarterly revenue from TIAs and drivers to exceed a $1 billion annualized run rate in the next few quarters. To support campus wide data center architectures requiring longer reach than traditional PAM solutions, we were the first to introduce CoherentLight products to the market. These solutions are optimized for applications spanning 2 to 20 kilometers in an extremely low power envelope as compared with traditional coherent DSPs. Over time, as speeds continue to rise, we expect CoherentLight to penetrate deeper inside data centers. Complementing PAM based solutions for shorter reach applications.

We have already begun shipping the first generation of our CoherentLight 200-gig-per-lane 1.6T products, and we are now introducing next generation CoherentLight products featuring integrated MACsec security as well as higher speed capabilities. Turning to DCI. This market is undergoing a major transition driven by the emergence of scale across networks. Which we believe will significantly expand the opportunity for pluggable DCI modules over the next several years. Marvell pioneered the pluggable DCI market, where the original use case was driven by hyperscalers replacing public WAN connections for intersite connectivity using pluggable modules. With traffic between data centers originating primarily from traditional front end networks.

This has become a highly successful business for Marvell, and today, we ship DCI solutions to all 5 major US hyperscalers. What is now changing is the push to build significantly larger AI clusters, which increasingly must span multiple data centers due to power and space constraints. In these architectures, the back end AI network must also extend between the data centers. Creating the scale across use case where massive amounts of data move continuously between XBUs during AI workload processing. Aggregate bandwidth requirements for scale across networks are projected to be more than 10x higher than those of current front end DCI networks.

As a result, industry forecasts project the pluggable DCI TAM to grow significantly, driven by rapidly increasing speeds and rising feature complexity including integrated MACsec security. While traditional DCI networks today primarily deploy 400 gig solutions, and are now transitioning to 800 gig, Scale across architectures are expected to rapidly adopt 1.6T connectivity. Marvell is exceptionally well positioned to lead this transition with the industry’s first secure 1.6T ZR and ZR+ DCI modules. Powered by our new 2-nanometer coherent DSP announced earlier this year. These modules are expected to begin sampling this year.

This positions Marvell to extend our technology leadership into the emerging scale across market supported by our proven expertise in high volume manufacturing of these highly specialized and complex modules. Our leadership position here is translating into strong revenue momentum for our DCI module business. Giving us line of sight to a $1 billion annualized revenue during fiscal 28. This would represent approximately double the revenue we achieved in fiscal 26 when the business generated roughly $500 million in revenue. As scale-across deployments become a larger portion of the market, we expect growth in our DCI business to accelerate further. Let me now transition to scale up optics.

Scale up interconnect represents 1 of the newest and most strategically important opportunities emerging in AI infrastructure. Marvell is uniquely positioned to enable both NPO and CPO implementations, with a broad silicon photonics platform spanning all 3 mainstream modulator technologies. Including MZM, EAM, and MRM, Fully supported by our market leading broadband analog TIAs and drivers. We are also investing in emerging approaches such as micro LED, and micro-VCSEL-based solutions. Marvell has already shipped more than 1 million DCI modules powered by our silicon photonics over the past decade. Across 4 generations of silicon photonics deployments, we have accumulated more than 15 billion hours of field data, and demonstrated world-class reliability.

We have leveraged this experience in developing our silicon photonics-based light engines. We are deeply engaged with multiple tier 1 customers with our third-generation 6.4T Light Engine for NPO and CPO implementations. Our acquisition of Celestial AI added photonic fabric technology including EAM modulators in the industry’s leading low power analog SerDes, the solution has already been selected by a tier 1 hyperscaler for its next generation of XPU scale up networks. A full strength of Marvell’s engineering and operations organization is focused on bringing Celestial’s first generation chiplet into high volume manufacturing. We are also making significant progress with MRM based scale up interconnect solutions. We completed our MRM device demonstrations last year and continue — I am sorry.

And continue to collaborate closely with TSC on its CO-OP platform. We believe scale up interconnect represents a massive new TAM that will likely be served by multiple photonic technologies and architectures, and we are investing aggressively to establish leadership across all of them. We are seeing market adoption accelerate from multiple CPO and NPO engagements, And as a result, we expect our scale up optics business to ramp significantly next fiscal year. With revenue forecasted to more than double our prior outlook of approximately a $150 million which was based at that time solely on Celestial AI. Turning to data center switching.

We continue to benefit from sustained demand for our 12.8 t and strong ramp of our 5th generation 51.2T switches for scale out networking. We are seeing strong engagement for both existing and new customers for our 51.2t platform. as well as our new 100T platform, which we believe delivers industry leading power efficiency and low latency. Attributes that are increasingly critical for AI infrastructure. Our engineering teams are already executing on the roadmap towards 200T Ethernet switching and beyond. With this momentum, we expect scale out switch revenue in fiscal 27 to exceed $600 million, doubling from fiscal 2026, and we currently see the business tracking to more than $1 billion in annualized revenue in fiscal 2028.

Scale up switching is an emerging market where we have significantly increased our investment, both organically and through the acquisition of XConn. Which substantially expanded our team and capabilities. While some customers are currently deploying PCIe switches for their current generation of scale up networking, the RAIDEX and bandwidth limitations of PCIe are expected to drive a rapid transition towards purpose built large radix high bandwidth UAlink, eSUN, and NVLink solutions. Marvell is uniquely positioned to support all of these scale up protocols through our internally developed UAlink and eSUN switches, as well as our expanded partnership with NVIDIA around NVLink fusion. We currently have multiple engagements with tier 1 customers for our scale up switch portfolio.

Given the size of the scale up TAM, each of these engagements represents a multibillion dollar lifetime revenue opportunity. We believe we are exceptionally well positioned in this market leveraging decades of extensive experience developing large, reticle-sized switch silicon, as well as our in house best in class high performance SerDes technology. Now let me touch on a few additional growth opportunities in data center. In the AEC market, we are seeing strong interest in our golden cable program. We have already secured design wins with 3 tier 1 US hyperscalers along with several other customers. We are also seeing strong traction for our retimer products.

Both ACs and retimers are now ramping, and we expect combined revenue to more than double year over year in fiscal 27, and continue growing rapidly in fiscal 28. The acquisition of XConn also advanced PCIe and CXL switch solutions to our portfolio. We are seeing strong interest in our PCIe Gen 6 and CXL 3.1 solutions. Marvell is well positioned in both of these markets to provide customers with complete end to end solutions and reference designs consisting of our PCIe switches paired with retimers, as well as our CXL switches paired with our memory expanders. Okay. Turning now to our custom business.

Custom revenue remains on track to grow more than 20% year over year in fiscal 27, led by our flagship XPU program, which we expect to drive multiple years of growth across multiple generations. Several XPU attached programs are also ramping in fiscal 27, including our CXL and NIC products. Looking ahead to fiscal 28, we now expect custom revenue to more than double year over year, which is higher than our prior outlook. The growth is expected to be driven by 3 primary factors, including, first, continued growth from our existing custom programs, including our flagship XPU, second, over 10 XPU-attached programs reaching higher production volumes, with demand continuing to exceed prior forecasts.

Particularly in NIC and CXL memory attach use cases driven by increasing inference and KB caching requirements. And third, the ramp of our new tier 1 XPU program into volume production. This program continues to progress very well through development, and we already have firm requirements in place for all of next fiscal year. Since last quarter, we have won several new designs as customers continue to expand their adoption of custom silicon. We expect these new sockets to begin contributing incremental revenue following their typical development cycle of approximately 2 years. The level of custom engagement with key customers remains unprecedented. And we continue to be deeply involved in a broad set of significant additional opportunities.

We remain confident in achieving our target model for our custom business to deliver on over $10 billion in revenue in fiscal 29. Turning to our communications and other end market. We delivered first quarter revenue of $585 million, up 3% sequentially and 29% year over year. For the second quarter, we expect revenue to decline in the mid single digit range sequentially on a percentage basis, while growing in the high single digit range year over year on a percentage basis. The communications and other end market has now largely recovered from inventory corrections at our customers.

Going forward, we expect revenue in this end market to broadly reflect the underlying trends in our enterprise networking carrier and consumer businesses. Our business continues to accelerate. In summary, we have increased our revenue outlook multiple times over the past several quarters. Today, we are again raising our outlook, increasing our fiscal 27 revenue forecast by more than $5 billion and our fiscal 28 outlook by approximately $1.5 billion versus the projections we provided last quarter. Our data center revenue grew 46% year-over-year in fiscal 26, and we are now projecting growth to accelerate to approximately 50% in fiscal 27 and accelerate again to 55% in fiscal 28.

Our customers continue to single signal robust demand not only for this year, but for the next several years. Our results and outlook reinforce our confidence that Marvell is in strong multiyear growth cycle with substantial runway ahead. Now today, sit here in a unique position to simultaneously, 1, drive incredibly strong top line growth, 2, increase R&D investment strategically in the highest growth AI opportunities while continuing to drive operating leverage. 3, make necessary capacity investments to fuel the next wave of growth. And 4, continue strong capital returns to shareholders. The Marvell team is firing on all cylinders with strong momentum expected to continue across the business.

We have built a well diversified company anchored by multiple large existing franchises and complemented by several emerging growth engines. I look forward to updating you on our progress as we continue this exciting journey as a key enabler of next generation AI infrastructure. With that, I will turn the call over to Willem, for more details on our recent results and outlook.

Willem A. Meintjes: Thank you, Matthew, and good afternoon, everyone. Let me start with our financial results for the first quarter of fiscal 27. Revenue was $2.418 billion, growing 28% year-over-year and 9% sequentially. Data center was our largest end market contributing 76% of total revenue. GAAP gross margin was 52.1%, non GAAP gross margin was 58.9%, Moving on to operating expenses. GAAP operating expenses were $921 million, including stock based compensation amortization of acquired intangible assets restructuring costs and acquisition related costs. Non GAAP operating expenses came in at $577 million. Our GAAP operating margin was 14%, while our non-GAAP operating margin was 35%.

For the first quarter, GAAP earnings per diluted share was $0.04 lower than our guidance reflecting the impact of purchase accounting for the Celestial AI and XConn acquisitions and the related earn out obligation. We expect this to normalize in the second quarter as reflected in our strong GAAP net income guide. We have now delivered consecutive quarters of positive GAAP net income and expect to continue to drive strong GAAP profitability going forward. Non GAAP earnings per diluted share was $0.80, above the midpoint of guidance reflecting year over year growth of 29%. Now turning to our cash flow and balance sheet.

In the first quarter, flow from operations was a record $639 million Inventory at the end of the fourth quarter was $1.4 billion, almost flat from the prior quarter. During the quarter, we repurchased $200 million of our stock through our ongoing capital return program and returned $54 million to shareholders through cash dividends in the quarter. As of the end of the first quarter, our total debt was $4.96 billion with a gross debt to EBITDA ratio of 1.44x and a net debt to EBITDA ratio of 0.32x. Turning to our guidance for the second quarter of fiscal 20 We are forecasting revenue to be in the range of $2.7 billion, plus or minus 5%.

We expect our GAAP gross margin to be between 52.1% and 53.1%. We expect our non GAAP gross margin to be between 58.25% and 59.25%. Looking forward, we anticipate that the overall level of revenue and product mix will remain key determinants of our gross margin in any given quarter. We project our GAAP operating expenses to be approximately $960 million. We anticipate our non GAAP operating expenses to be approximately $600 million in the second quarter.

We expect our GAAP other income and expense including interest on our debt to be an expense of approximately $68 million We expect our non GAAP other income and expense, including interest on our debt, to be an of approximately $35 million We expect a non GAAP tax rate of 11% We expect our basic weighted average shares outstanding to be 899 million and our diluted weighted average shares outstanding to be 915 million The increase from the prior quarter reflects the full impact of shares issued for the Celestial AI and XConn acquisitions well as the shares issued as part of the NVIDIA investment.

We anticipate GAAP earnings per diluted share in the range of $0.32 to $0.42 We expect non GAAP earnings per diluted share in the range of $0.88 to $0.98 As we look ahead, we intend to continue to invest in growing our business while driving operating leverage. For fiscal 27, we expect non GAAP operating expense of approximately $2.45 billion which includes the acquisition of Celestial AI and Excon, both of which closed in the first quarter of this fiscal year. For fiscal 28, we expect non GAAP operating expense to grow year over year approximately in the mid to high teens on a percentage basis.

This is significantly below the 45% revenue growth outlook Matthew provided in his remarks for that year. As a result, we expect to achieve the upper end of our target operating margin model of 38% to 40% as we progress through fiscal 28. Based on the diamonds we have secured in our confidence in sustained customer demand, we are aggressively locking in additional capacity to ensure our growth. We are following the same successful playbook we established during the last major supply crunch which includes sharing our long term demand outlook with key suppliers and making strategic prepayments to ensure capacity.

This approach has served us well, enabling Marvell to scale revenue significantly during a period when the broader industry has remained supply constrained. We are forecasting approximately $1 billion in prepayments during this fiscal year with the first payments beginning in the second quarter. These prepayments will be applied against future material purchases. We expect to fund these prepayments through our strong balance sheet and robust operating cash flow generation. In parallel, we plan to continue to repurchase shares to manage dilution. I am very pleased with our execution. Driving strong revenue growth and operating leverage. as well as robust cash flow generation and ongoing stock buybacks.

We are looking forward to continuing to deliver strong earnings growth to our stockholders. With that, we are ready to start our Q&A session. Operator, please open the line and announce Q&A instructions. Thank you.

Operator: Thank you. We will now be conducting a question and answer session. If you have additional questions, please rejoin the queue. At this time, we will pause momentarily to assemble our roster. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star key. Thank you. Our first question comes from the line of Vivek Arya with Bank of America Securities. Please proceed.

Analyst (Vivek Arya): Thank you for taking my question. Matthew, towards the end of your presentation, you mentioned something along the lines of your custom XPU is on target to hit $10 billion in fiscal 29. I just wanted to make sure that we heard that correctly because that would mean that you know, fiscal 29 fiscal 28, if your XPU is, you know, a little over $4 billion and then it gets to $10 billion. So that is an increase of at least $5 billion to $6 billion year on year in sales. So I just wanted to make sure that I heard that.

And then, Matthew, at what point did you feel more comfortable talking about that large customer and the progress in this new program? Do you expect to be exclusive in this? Because they have a really large CapEx profile. So when do you think, you know, investors should start to give Marvell more credit for that new XPU program? That should start next year.

Matthew J. Murphy: Yes. Thanks, Vivek. Yes. So yes, you heard it right. And just for context, on the $10 billion-plus for fiscal 2029, the context for that is back in April 2024, we set long term targets out through calendar 28, which would be our fiscal 29 at that time, you know, we had we had identified a data center custom overall market.

Overall custom silicon market, which would generate about $8 billion in revenue for us was sort of what you–if you assume 20% of our market sizing at that time for, fiscal 29, And at the–our June 2025, We then said, basically, the TAM is bigger, so the implied, again, if we achieved our share targets, in fiscal 29, would indicate something over $10 billion. It was a $55 billion TAM. 20% on that is $11 billion. So call it in that range. And, yeah, we are still tracking to it. that is a key part of our assumption. You know, 2 years ago, it looked like a very steep hill to climb. We are clearly making progress there.

And, yeah, between our existing programs, our new ramp, and, just a plethora of XPU attached programs, all of which have sized up significantly since we won them. We definitely see line of sight to hit those targets and again, this is just updating investors along the way about how we are progressing. On your second question, program remains on track. I think we are hitting all of our milestones. We and we see for next year. You know, I think it is I stated in my prepared remarks, you know, kind of across the board on all of the custom programs we have, we are seeing indications of greater need for demand.

We had judged that 1 down, you know, pretty significantly, and, I think, as we progress through the year to answer your questions, I think we will all gain confidence in the magnitude of that ramp. But it is on track, and it is a key part of our plan for next year. But it is not the only piece. it is probably still about a third of the total growth we are expecting in our custom business next year. But, yeah, it is on a very strong trajectory, Vivek. From fiscal 27 to 2028 to 2029 and beyond. On the custom side overall. Which includes XPU and XPU attach. Thanks. Thank you.

Operator: Our next question comes from the line of Harlan Sur with JPMorgan. Please proceed.

Analyst: Matthew, with the aggressive evolution of inferencing compute workloads, this is really opened up a lot of opportunity for these XPU offload engines like an LPU processor, an SPU processor, right? that is what motivated NVIDIA, for example, to acquire that startup, Grok, right, that has this unique SRAM-based memory architecture that enabled them to design a very efficient, sort of low-latency inferencing engine called LPU. I seem to recall that the Marvell team actually full-designed the start up’s first generation LPU inferencing chip we all know that Marvell has always focused on memory, in particular, SRAM-based IP, like highest density, lowest power.

In fact, think you guys bought the first industry’s first 2-nanometer SRAM IP to the market last year. Is the Marvell team leveraging this differentiation? Are you seeing more interest in SRAM-based XPU offload ASICs and do you already have XPU attached design wins for SRAM-based offload architectures?

Matthew J. Murphy: Yeah. Yeah. Thanks for the question, Harlan. Yeah. So first, yeah, you definitely pay attention. We talked about this actually quite extensively. In June 2025 at our custom silicon event. We had a whole dedicated presentation on, actually on our best in class SRAM, design capability and IP. And that is it — that is, by the way, a legacy in a history investment area that goes all the way back to the Avera acquisition. And prior to that, the team being in GlobalFoundries and IBM. So there is a long legacy there. That technology, has evolved from networking products into AI products, and you can see that trend in the market as inferencing is happening.

So continues to be a key part of our IP portfolio. For sure as we go win designs, and it is 1 of the reasons why we are winning our designs in XPU attach But it is part of the bigger strategy, really, which is I think, having the full suite of solutions, right, from advanced packaging, best-in-class in class high speed IO, and just the ability to really dive in and get the develop these solutions with our customers and very aggressive time to market time frames, leveraging our manufacturing expertise, and our capacity etcetera. So it is it is it is 1 piece of the puzzle, but it is an important piece. For sure.

And we definitely see that as a trend out there, Harlan. And, we will we will we will keep you updated. Thanks.

Operator: Thank you. Our next question comes from the line of Timothy Arcuri with UBS. Please proceed.

Analyst: Matthew, I wanted to ask about the breadth of the customer base. I know we have talked about the existing XPU you have. there is this new customer on the XPU, and then, you know, you do have some XPU attached with a third customer as well. But there is some speculation that you actually might be moving into the compute TAM, and that is by far the biggest custom compute wallet out there. So is that included in the forecast, or would that be incremental to this?

I am just I guess I am just trying to ask about the breadth of the customer base because I know you did you mentioned, you know, you mentioned about the engagements broadening. So wondering if you could talk about that. Thanks.

Matthew J. Murphy: Yeah. Well, I think, a couple of things. The first is, you know, we have said this for some time. We have had we have custom engagements across the board at all the US hyper And we have had that for some time. some XPU, some XPU, and XPU-attached, and some just XPU Attached. that is–and that is part of, you know, the AI custom event we did last summer is, you know, indicating kind of that broad pipeline of opportunities and sockets.

So everything we have laid out, which is the, you know, greater than 20% growth this year, you know, more than doubling next year, and then still having line of sight to our long term targets, that is all based on the designs we have already won and locked and even going back to really last summer. Now if some of these programs, again, the timing on them, the newer ones we have won since last summer, if you can get them done in, like, a 2-year time frame, then you might get some contribution. From that in fiscal 29, but that is not needed.

That think of that as like an insurance policy, but great if some of those hits and, you are worried about some of the existing programs not quite getting there, So when we look at the whole picture, net, we feel very comfortable with the trajectory of our custom business.

And it is not requiring anything new or an incremental And I would just say broadly across the board, our technology platform is very competitive, and we are out there competing every day for the most important sockets in the world, and again, those would contribute later, but at our 2-nanometer platform and then beyond, our road map is very compelling, and it is only strengthened since, our custom silicon event last summer. So this business is inflecting, and it is definitely on the right track. And, again, I highlighted a number of reasons why that is. You know, with Harlan’s question.

But I will just tell you that what we have really seen and it is been pretty pronounced, I would say, in the last 6 months or so, is that the performance of our high speed I/O, our SerDes performance, our die to die, and our ability to integrate that very densely and in switching applications, XPU attach applications, is, the amount of activity we are seeing on demand for that, and I think people realizing that really it is us and maybe a couple of other people that can do this at the level for this level of performance integration. it is driving a whole new set of opportunities quite frankly.

So you know, again, design activities through the roof at Marvell. Across the board, but including on custom silicon.

Operator: Our next question comes from the line of Aaron Rakers with Wells Fargo. Please proceed.

Analyst: Hi, guys. This is Michael on behalf of Aaron. Thank you for the question. I think you mentioned in your script that you had a I think new, XPU or custom, I guess socket wins, could you provide any additional color on, I guess, those XPUs or XPU attach or maybe the type of accelerator or just type of chip, that would be really helpful. Thank you.

Matthew J. Murphy: Yeah. No additional details at this time. I think it is just another data point we are trying to give people that based on the 50-plus type of opportunities we outlined last June, we continue to close on those. That opportunity pipeline continues to grow in terms of sockets and dollars, by the way. I think every sort of program we looked at a year ago is larger when we look a year later. But no additional details at this time. But at the right time, we will do a more comprehensive look back and update you on our progress.

But right now, at least from the current business we have, the revenue line is definitely moving in the right direction and strong validation for the capabilities that we have. Thanks.

Operator: Thank you. Our next question comes from the line of Blayne Curtis with Jefferies. Please proceed.

Analyst (Blayne Curtis): Matthew, I wanted to ask specifically about the CXL opportunity alongside accelerators. How real is that opportunity. Is there a way to think about the content per accelerator for that? Well, yeah, it is a very real opportunity.

Matthew J. Murphy: I think 1 is we have we engaged in this business, actually, a few years back, and this was when the applications were really driven by sort of traditional server dynamics for x 86 compute, and that is obviously vectored over into AI. You know, I think we had a plan in this area, which we have talked about, you know, getting that sort of custom line item of XPU attach alone over a billion dollars in revenue in the next couple of years.

That continues to expand both because we continue to expand the customer base, which is very compelling, But, also, I think the concerns around the memory cycle we are in are driving additional adoption of CXL based design. So it is sort of no secret at this point that I think the memory architectures are endemic and critical on how people think about their next generation infrastructure And I think us coming in with these very proven solutions now for CXL are really playing in our favor. So I think it is just the trend line continues and just to continue to size up both because of the CapEx higher penetration, due to some of the memory issues.

And then just more and more of these solutions moving into inferencing. So that those are some of the trends that we are seeing, Blayne.

Operator: Thank you. Our next question comes from the line of Chris Caso with Wolfe Research. Please proceed.

Analyst (Chris Caso): Yes, thank you. Good evening. A question is about some more color on how you are addressing capacity constraints right now. You spoke about some of the prepayments And, so I mean, part of the question is, how you are managing to get that additional capacity?

And then as a follow on to that, with the guidance, the increase in guidance, is that a function of, you managing to get more capacity out of your customer, out of your supply base or is it really more of a factor of becoming more comfortable with the forecast your customers had already given you, and you know that you did not guide us to everything your customers had put in their forecast in the first place.

Matthew J. Murphy: Yes. Thanks. Hey, I will hand this 1 over to Christopher, who is been knee deep in this, but I just give a shout out to our team. Our supply chain operation has been doing an outstanding job, and our suppliers have been doing an outstanding job continuing to react to the upward changes in demand We have been very pleased with that, and we are in great shape overall to deliver on what we just talked about. But I will have Christopher give some more color on how we are going about that.

Christopher Koopmans: Sure. Thanks, Matthew. So, yeah, I think as Matthew mentioned, I have been dealing with the operation side since 2020, 2021, and I do not think we have been in an unconstrained environment since then. Everything that touches AI has been constrained basically since the beginning of this. And, ultimately, the way we have been able to manage this is by building very tight relationships with a small number of key suppliers giving them a 5 year forecast of what we need and hitting what we need each time along the way and doing what we said we were going to do.

And that goes a long way towards getting what you need when you take everything that you need as you go along. And we work very closely with all of our key customers and with our key suppliers to give them that forecast. And, yeah, there is really only a handful of companies that are driving this AI TAM build out and in order to do that, part of that is the prepayments that Willem mentioned that we are making with our suppliers to back our forecast with confidence and cash. And ultimately, that is what lets us deliver the revenue capability we have.

Operator: Thank you. Our next question comes from the line of Ross Seymore with Deutsche Bank. Please proceed.

Analyst (Ross Seymore): Hi, guys. Thanks for the question. I want to go to the interconnect side of things. Matthew, you talked about the growth rate going to, I think, over 70% this year. If I recall right, it was beginning of this year 30%, then 50% and now 70%. So it is clearly accelerating. I guess the question is, why would you think other than just conservatism that would slow to kind of closer to but still above the hyperscaler CapEx rate next year? Is that just conservatism or because everything that you rattled off before about the DCI side of things, AEC, 1.6T, the scale up, etcetera, etcetera. All sounds like those are still very, very strong tailwinds.

So I just wanted to get a little more color as to what you are thinking in fiscal 2028 for that business.

Matthew J. Murphy: Yes. I think the fact is this is where we are right now, Ross, and very encouraged to see as we progress as you mentioned, from where we were starting probably around last September, to now with the growth rate, you know, continuing to inch up as CapEx has gone up. And, also, the attach rate of our interconnect products have gone up. The new initiatives, those businesses are ramping. it is definitely– I mean, we got a lot of success across the board here, but this has been the star of the show here. You know, look, I think when you look out to next year, I think this is where we are today.

But if you start building a bottoms up model, you can see that there is definitely a possibility for a lot of upward bias because our traditional business in DSPs, right, obviously, we talked about a big step up next year. In 1.6. that is higher content. You have DCI ramping. You have the new initiatives, things like retimers and ACs, but also you have scale up optics which you know, we are effectively calling at this point to be about $300 million which is true NPO and CPO based solutions. This is, like, the beginning of a major growth cycle for us.

So I think there is a lot of optionality, is what I would say at the moment, Ross. But, I think today, net, you look overall, $16.5 billion is where we are comfortable overall, but I think there is upward bias for sure. The trends continue. Thank you.

Operator: Next question comes from the line of Tore Svanberg with Stifel. Please proceed.

Analyst (Tore Svanberg): Yes, thank you and congrats on record quarter. Matthew, I was hoping to zoom in a little bit more on the interconnect business and specifically scale up. Obviously, a lot of that is in front of you. But there is also a lot of different dynamics there, right? Whether it is copper, optical, you know, MPO, CTO, copper, What has been surprising to you the last few months as far as what 2 or 3 products are you seeing the bigger upside from Because obviously, it is a very dynamic market. So given your new growth forecast here, there must be a few that are worth highlighting. Thank you.

Matthew J. Murphy: Yes. Well, I think the good news well, I will start at the top. The good news is as you said, you just rattled off a number of different technologies, and there is an equal number more you did not mention. We are in all of them. And I think that is 1 of the unique advantages that we bring to the table is we have the absolute broadest range of connectivity and scale up and scale out solutions for interconnect in the industry. And I think as I as the indicating to Ross, I think everything’s got an upward bias to it.

The area where I think the most intense activity has sort of emerged and I think it is just it is been just a home run getting the Celestial team in here and combining them with our own very, very strong and capable optics team That combined team, we are able to go into customers now and outline full end to end solutions from x p XPU-to-switch with any type of interface and optical or copper connection between that the customer can envision and really optimize around that. And so that is why we mentioned we are seeing for next year, not just Celestial products ramping on scale up optics, but also Marvell products as well.

And I think that is an area that could bias us higher, but that is upward. Sorry. But that is in the context of us presenting a very comprehensive total system solution because in the end, especially for this first generation, you are going to want to have these solutions bookended, Tore, and you are going to want to have the XPU integrate the same photonic element as the switch side And we are able to walk in and show our switches, our ability to integrate into XPUs or build the XPU. And then all the optics in between. So it is a very, very powerful combination and I think the end to end is getting a lot of attention.

And the fact is, we have the proven technology. it is not a PowerPoint. it is not a concept. I mean, we have 15 billion hours as an example of device data on 4 generations of silicon photonics already. Have 224 gig SerDes in production. We have die to die in production. We built switches for multiple generations that are reticle-sized with high yield These are this is, like, the most complex stuff you are going to do in the semiconductor industry. And we are able to simultaneously do it all and bring it to our customers.

So if I were to point out a trend, which is kind of what you are getting at, it is that trend right now is how do we help our customers enable their scale up network for the future? And this is, like, gen 1, ground zero. there is a lot of room to go here. that is what I would say the most sort of intense discussions we are having. And we are very much investing to win here. that is why you see us in some cases betting on multiple standards or multiple technologies. We do not want to miss out And we will pivot at the right time. We will follow our customers.

We will follow the market. But today, we have a little bit of a blank sheet, and it is very refreshing to our customers because we do not just go in there with our agenda based on the 1 piece that we have. we say, ‘Well, this is what we have. This is what we can offer you. We go in with here’s the technology that you need, and it is real engineering. it is real proven silicon. it is real proof of concept. That we can show. So I think more to come on this 1. Thank you.

Operator: Our next question comes from the line of Serene E with RBC Capital Markets. Please proceed.

Analyst: Thank you. Matthew, I want to zoom in on the switching side. I think you talked about scale out switching doubling this year and potentially reaching 1 billion annualized run rate next year. I know it is a large market and you have a relatively small share in that market. But as we go from scale out to scale up, you mentioned 3 different I guess, you know, eSun, NVLink, and also UAlink. So it seems to me that could be even larger market, and obviously, it is all a greenfield market for you. I am just curious as to how you are thinking about that opportunity in 2028 and beyond? Thank you.

Matthew J. Murphy: Yeah. Thanks, Srini. Yeah. You are right. On the scale-out side, it is a large and established market. We are an emerging company there. I would just say, though, I think it is a huge milestone to look out to next year and have line of sight to a billion dollars of revenue here when if I go back 5 years ago when we were able to bring the Innovium team in, there was it was effectively a pre revenue company or very little with, at that time, kinda line of sight to $100 million and $150 million of revenue.

So that is gone really well if you look over the last 5 years, right, and just kind of where we are we are heading. And a lot of those assets and capabilities that we got from that are now directly being leveraged into scale up networking, particularly the obviously, on the Ethernet side on eSun. So that, in our mind, is, you know, a bigger opportunity from the standpoint that the market share is not established yet.

And that is what I was referring to earlier in response to Tore’s question. there is so many important architectural discussions going on but it is not just the switch, and it really requires, you know, kind of a very broad set of capabilities and track record for customers to bet on you here And I think the stakes are higher because we do continue to see the adoption of CPO and NPO technologies being much more robust and, sticky inside the scale up networks. Which is just a lot more TAM for Marvell as well.

So you have got switch ASPs that are roughly the same, but you have got a whole new emerging market segment where nobody’s quite established the leadership position there. And we think based on our set of assets and our strategy, you know, we should do really well there. That will be–all the all the numbers I have rattled off to everybody here which is a lot. I get it, but, you know, the concept is trying to give people visibility under the different pieces of Marvell that you might not think of. But on the scale up and on the switching side, that is not really in any numbers I am talking about right now.

I mean, that is not very little very little nothing in fiscal 2025, and then the year after, we will probably get some contribution, but that is never showed up at an analyst day we have done or any kind of discussion. So all in front of us, and that is all upside. And I think it can be very meaningful over time. So we will we will see. Operator, we will do 1 more question, and then, and I will give some closing remarks, and we will end the call.

Operator: Sounds good. Our last question comes from the line of Srini Pajjuri with Raymond James. Please proceed.

Analyst: Thank you very much for taking the question. Wondering if we look at the fiscal 28 outlook for the custom to double and the 3 drivers that you outlined, could you give us a little bit more color as to which of these is the biggest or how to think about the contributions between existing customer expansion, the XPU attach, and then the new tier 1? Just trying to get a sense of relative size of each. Thanks.

Matthew J. Murphy: Yeah. No. No problem. Thanks for the question. So last quarter, when we talked about it, it was, it was about a third, a third, a third in those different buckets, you know, the existing programs, XPU attach. And then in our new program. And that is it is about the same. So but what is happened is what we said it is gonna more than double. So all of those have sized up. I think across the board, I would say, all of our different custom programs, which, again, I mentioned was quite a few when you add the XPU attached in there. Every 1 of those has sized up and wants to be bigger for next year.

So it is it is a double plus, which is which is great. And I would say it is roughly the same ratio. We will know more, obviously, as we get, you know, through the year here and you know, lock the production plan for next year in our allocation, But at the moment, everything wants to be more, and we will do that. We will more than double the business from this year to next year in about the same increments in terms of growth. So thanks for the question. Operator, do you want to give some closing comments? Do you want to close the call first, then I will do it? How do you want to do it?

All right. I will just close it out once you are finished. Excellent. Okay. Thanks for your help today. All right. So thanks, everybody, for joining. I appreciate it. And appreciate the interest in the company. Marvell is in the middle of really an incredible growth period. We are seeing record demand. We are seeing record bookings. in the last few quarters. Our data center business is on fire, and we are projecting accelerating revenue growth. For this year and next year already from a strong base. I mean, basically, we were 46% data center growth last year. This year is 50, and next year is looking like 55. So it is only getting better.

Team is doing an excellent job winning new designs. So we can keep the growth engine humming for the foreseeable future. And this is a company that was put together and purpose built. And going back almost 10 years, actually, in the making, to get to this point, we have had a lot of, you know, high-profile m and a and integrated that well, but incredibly strong organic investment by Marvel engineers as well. To build really a best in class leading portfolio across the board. And this came up in some of the questions, but I will just touch on it. I mean, what really is resonating with our customers is that we have all the pieces.

We have all the pieces. We have the pieces that can help our customers architect their fully AI–their fully optimized AI infrastructure. And that could be built on Marvell end to end technology. I mean, having custom under 1 roof, high speed switching, leading-edge SerDes, in I/O, and then all the things we talked about earlier in terms of our capacity, our scale, and our ability to manufacture in yield and high volume and for our customers’ ability to us to do that. So very exciting time for the company. it is, it is it is been a little roller-coaster ride over the last year. The revenue has been up and to the right.

But, you know, there is been there is been, you know, ups and downs along the way. And you know, we have a very, very dedicated and loyal and committed employee base in this company. And I wanna thank all the Marvell employees that are listening and all the engineers in this company and everybody in every function who is working your butts off every day to get to where we have gotten to Your focus and commitment is highly appreciated. So look, we are well on the way to be 1 of the big winners in this AI cycle.

We know what we are good at, and we are going to keep doing that, keep our head down, keep executing, and keep driving it forward. So we look forward to seeing all of you. I know there is a whole bunch of different investor events, bus tours, huge amount of people coming through here at Marvell. I will be in a lot of those meetings, but you will also get a chance to see Christopher and Willem. Sandeep, Ashish, and me. So with that, I want to conclude the call. Thanks, operator, and thanks, everybody, for your interest in Marvell. Take care.

Operator: Thank you. Ladies and gentlemen, thank you for your participation. This does conclude today’s teleconference. Please disconnect your lines and have a wonderful day.