Blaize Holdings (NASDAQ:BZAI) released second-quarter financial results and hosted an earnings call on Thursday. Read the complete transcript below.

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The full earnings call is available at https://edge.media-server.com/mmc/p/uoxsy5az

Summary

Blaize Holdings revised its full-year 2026 revenue guidance down from $130 million to between $40 million and $43 million due to delays in converting opportunities into orders and increased supply chain costs.

The company secured a $70 million contract for 2,000 servers, partially contributing to 2026 revenue with the remainder carried into 2027.

The market trend is shifting towards efficient AI model operation, aligning with Blaize Holdings' strategic focus on AI inference and hybrid AI platforms.

Gross margin for Q2 was 8% due to a higher mix of third-party hardware; improvement is expected as branded hardware and AI services gain traction.

The company plans to optimize costs and pursue non-dilutive financing to preserve core capabilities and extend financial flexibility.

Blaize Holdings reported Q2 2026 revenue of $12 million, a significant increase from $2.7 million in the prior quarter, driven by demand from Neotensor.

Operating expenses increased due to provisions for receivables, investment in new chips, and non-cash charges.

The company expects a backlog of approximately $50 million by year-end 2026, with strategic focus on building scalable revenue engines in AI services and ruggedized platforms.

Full Transcript

OPERATOR

Good afternoon everyone and thank you for joining Blaize's second quarter 2026 conference call. Before management begins the prepared remarks, we would like to remind everyone that earlier today Blaize Holdings has issued a press release announcing its second quarter 2026 results. Earnings materials are available on the Investor Relations section of the Blaize Holdings website. Today's earnings call and press release reflect management's views as of today only and include statements related to the company's 2026 financial guidance, revenue, gross margin, competitive position, anticipated industry trends, market opportunities, products and financing opportunities, all of which constitute forward-looking statements under the federal securities laws. Actual results may differ materially from those contained or implied by these forward-looking statements due to risks and uncertainties associated with Blaize Holdings' business. For a discussion of the material risk and other important factors that could cause the company's actual results, please refer to the company's Form 10-K and Amendment Number One, Form 10-K for the year ended December 31, 2025 and our Form 10-Q for the period ending June 30, 2026, including the Risk Factors section therein and today's press release.

Any forward-looking statements that management makes on this call are based on assumptions as of today and, other than as may be required by law, we undertake no obligation to update these statements as a result of new information or future events. During this call management will discuss certain non-GAAP financial measures. These non-GAAP financial measures should be considered as a supplement to, and not a substitute for, measures prepared in accordance with GAAP.

For a reconciliation of non-GAAP financial measures discussed during this call to the most directly comparable GAAP measures, please refer to today's press release. Now I would like to turn the call over to Deneker Monegalla, Chief Executive Officer of Blaize Holdings.

Deneker Monegalla, CEO

Thank you and good afternoon. With me today are Harminder Semy, our Chief Financial Officer, and Stephen Petak, our Chief Revenue Officer. I will start with the outlook and where the business stands. Harminder will take you through the numbers and Stephen will cover our commercial engines. I will then have some closing remarks after the Q&A. As you saw from our earnings release this afternoon, we reduced our revenue outlook for 2026. Our full-year revenue is now expected to be between $40 million and $43 million.

What that number does not show you is what we have already secured. We hold a signed agreement covering 2,000 servers worth approximately $70 million at current memory prices. Part of that converts into revenue this year. The rest is committed business we carry into 2027. Let me tell you what changed and what did not. First, several engagements have not converted into orders, including some where pilots were completed successfully. Second, other opportunities are still in progress and expected to close later than we forecast.

And third, supply chain cost inflation; memory pricing has risen materially this year and we expect that to persist. Harminder will take you through each of them along with the backlog we expect to be holding at year-end and what we have changed in how we build our expectations. Behind that number, the business is broadening. Our largest customer in China continues to generate meaningful business for us. We have opened Europe with the first purchase order for several thousand units and activity across the Asia Pacific region has increased.

Let me tell you what we are seeing because it explains both the quarter and the book behind it. The market has made up its mind this year. Building frontier AI costs more than it earns and the gap is widening. At the same time, efficient open models are making AI cheaper to run. Value is moving from who trains the biggest model to who runs it most efficiently. The economics of inference are now the deciding factor. That is the market our architecture was designed for and we are making real progress in it.

Two market trends are converging and we are winning in both. First is physical AI. Countries and industrial companies are putting AI into the field—on vehicles, on ships, on machines and inside their own borders and their own sites. Partly for security and control of the data, but mostly because the work demands it. Speed of response, scale, places the cloud cannot reach. Next is a new generation of AI data centers built to run AI, not just to train it.

Training does not go away. It changes shape into constant tuning and specialization. These sites run many models on many kinds of chips. And they're built on purpose, not to depend on one vendor. Both are hybrid and the operators have learned something important. Renting out GPUs is not a sustainable business. Applications and AI services are. That makes the software that schedules and tunes the work the layer that matters. And that is exactly where we sit.

That brings me to what we are focused on most right now. The revenue that we produce and the margin we make on it. Let me take each one. First, revenue. We earn revenue in two ways. One is our silicon and SDK designed into OEMs' product, shipping inside autonomous systems, robotics and ruggedized equipment. Once we win the design, we scale with that OEM into markets they already serve. And a proven design opens other platforms and markets for us.

The other is our hybrid AI platform, a vertically integrated stack. It runs the industry applications that customers buy, built by us and by our software partners, service providers and system integrators, delivered as a managed service. Stephen will take you through where each of them stands. Second, margin. Behind both sits AI Services, our software suite for AI inference. We expect AI Services to become an increasingly important contributor of our margin over time.

Today, AI Services includes capabilities such as facial recognition based on requirements from active customer programs. We are developing and integrating additional capabilities including document processing, quality grading, compliance scoring, video analytics, small language model assistance and industry-specific services. We are also developing model optimization and orchestration capabilities intended to route workloads to the appropriate compute resource and optimize models for the underlying hardware.

The goal is to give customers more output per dollar of infrastructure. They get more from what they run and we expect to be paid for what gets them there. We intend to price it as software per rack, per megawatt or per fleet. That brings me to this quarter. Our gross margin was 8% reflecting a mix weighted to third-party hardware. Our branded hardware and AI Services is what we expect will shift that mix, and building it out is the work in front of us this year.

Finally, onto the next generation. The deployments we are supporting today increasingly require a mixture of models and inference workloads. Serving that demand pulls us deeper into the stack both in what we build ourselves and what we integrate from others. Based on requirements that we are seeing across current customer engagements, we are working on our next-generation AI inference product designed for production environments. We expect it to complement what we ship today and extend the same architecture to higher-performance workloads.

We also intend to incorporate confidential computing capabilities to address requirements from sovereign customers. We view this plan as a staged investment and intend to pace development against customer requirements, commercial progress and what the business can support. The platform comes first and the next-generation product is intended to extend that platform into larger inference workloads we expect customers to deploy over the coming years.

With that, I will hand it over to Harminder to take you through the outlook and the quarter.

UNKNOWN, CFO

Thank you, Deneker, and good afternoon everyone. Before I get into our second quarter results, I will address why we are revising our full year 2026 revenue guidance, what's driving that, and how we're managing the balance sheet through this transition. Deneker addressed the change from $130 million to a range of between $40 million and $43 million. That is a significant reduction and I want to walk through exactly why. There are three primary factors behind this change.

First, I would like to emphasize that while pilot programs have been successfully completed, several commercial opportunities did not materialize as we expected. We had planned on fulfilling a regular cadence of purchase orders from customers already under contract with respect to Starshine. Specifically, we made the decision not to engage further until Starshine pays its outstanding balance. We have fully reserved the receivable this quarter, engaged local partners to pursue collection, and are re-evaluating that commercial relationship.

There is meaningful uncertainty as to whether it will progress further. Second, as we progress into the third quarter, customers are deferring follow-on orders based on their broader scaling of overall deployment of AI solutions. Opportunities are proceeding just more slowly than our prior forecast assumed. Cloud and data center customers have taken longer to qualify new technology, certain government programs are on longer procurement timelines than expected, and regional uncertainty has pushed a Smart City opportunity in the Middle East into an extended field trial.

Finally, memory economics have gotten harder. DRAM and LPDDR pricing has increased materially this year as industry capacity has shifted toward high bandwidth memory. Additionally, the requirement for advanced payments from suppliers has increased. We expect these supply conditions to persist. Taken together, we have raised the bar for what we are willing to include in guidance going forward. Stephen will walk through the pipeline in more detail shortly, but I want to be precise about how we built this specific number because the methodology matters as much as the figure.

As mentioned, our revised guidance is between $40 million and $43 million for the full year 2026. We project backlog at December 31st this year of approximately $50 million at current memory prices. It is weighted heavily toward revenue from our largest account based on binding non-cancellable purchase orders that we can fulfill with inventory commitments already made or plan to order. Let me explain the difference between bookings and revenue recognition.

Several of the opportunities that we are currently pursuing are intended to generate bookings during 2026, but will only partially convert to recognized revenue this year with the remainder entering backlog for future periods. Backlog for us means a committed contract or purchase order exists that we have not yet fulfilled. This guidance reflects what we currently expect to recognize as revenue in 2026, not the full value of business that we expect to book by year end.

Stephen will address where activity continues and revenue upside is in play. With continued supply chain cost inflation that we may not be able to immediately pass through and some higher margin opportunities pushed into 2027, we now expect gross margin of 17% to 19% for the second half of the year and an adjusted EBITDA loss of $62 million to $65 million for the full year. A reduction in gross margin from lower revenue and the Starshine provision are key contributors in the increase in the loss from our prior guidance.

This is offset by reductions in operating expenses and a change in the timing of payments for the next generation chip program. Now turning to our financial results for the second quarter ended June 30, 2026, revenue was $12 million, a significant increase from $2.7 million in the prior quarter. For the first half of 2026, revenue totaled $14.7 million compared with $3 million in the same period last year, a year-on-year increase of 390%. NeoTensors—specifically the amount due from our fourth quarter 2025 sale—has been paid in full and the receivable associated with our second quarter 2026 sale remains within its contractual payment terms.

Third and fourth quarter deliveries of our hybrid servers are being planned. Gross profit was $0.9 million, representing a gross margin of approximately 8%, compared with 58% in the first quarter. The quarter-on-quarter decline was driven by revenue mix. The second quarter consisted almost entirely of third-party server hardware which carries constricted gross margins. For Blaize Holdings, the first quarter gross margin benefited from a mix of higher margin Blaize software and hardware plus some third-party hardware.

Operating expenses for the second quarter were $31.5 million, up from $23.9 million in the prior quarter, an increase of 32%. This increase was largely driven by a $7.1 million provision for the balance of the Starshine receivable, approximately $1 million additional investment into the new chip, and a $2.8 million one-time non-cash charge in a related party settlement, partially offset by a release of a prior year provision in professional fees.

R&D expense was $10.5 million and included stock-based compensation of $3.7 million. The increase of $0.8 million, or 7.6% sequentially from the first quarter, primarily reflected third-party intellectual property costs associated with the ongoing development of our next generation chip. Adjusted EBITDA loss of $20.9 million, including the Starshine provision, was up $7 million compared to a loss of $13.9 million in the prior quarter. Adjusted EBITDA is largely driven by non-cash addbacks which include stock compensation, changes in the fair value of our financial instruments, and non-cash financing charges such as the modification of certain warrants this quarter. Moving on to our balance sheet, we ended the quarter with $36.8 million in cash, an increase of $3.6 million from the first quarter. We received $9.4 million in customer payments and generated $32.8 million in net proceeds from the equity offering completed during the quarter. Our revised growth outlook reduces the near-term working capital requirements of the business, as the significant second-half bookings and revenue ramp contemplated in our prior guidance would have necessitated significant upfront commitments to purchase memory-intensive inventory at elevated prices well in advance of customer collections.

We feel it is advantageous to our shareholders to judiciously manage the supply and demand imbalances of the cost of inventory. This enables us to prudently control economics and timing trade-offs for the long run rather than maximizing revenue at any cost. In addition, we continually review our cost structure against revenue priorities and our future roadmap. Accordingly, we're identifying further opportunities to reduce operating expenses in light of the lower guidance.

The priority is to optimize cash consumption with a goal of extending our financial flexibility and preserve the core capabilities required to execute our strategy. We're exploring ways in which to leverage our customer contracts to secure non-dilutive debt financing. Additionally, we're seeking advance payments from customers to mitigate working capital demands. No financing decision has been made at this time. With that, I'll turn the call over to Stephen to discuss our pipeline and provide additional context around our outlook.

Deneker Monegalla, CEO

Thank you, Harminder. First, let me start by adding one additional comment on the quarter. Our Q2 revenue was driven by our momentum with Neotensor, where they continue to adopt more of our solution stack as they see strong demand in their market. Second, and where I want to spend a bit of time, is the commercial picture behind the revised annual outlook Harminder described. You have to start with demand because that is the fundamental starting point.

We are seeing real demand across every part of our business and it's growing. What we're working on is our ability to capture it, and we've had several changes in our go-to-market approach in order to execute more effectively as it relates to our revised outlook. A couple of things to point out. As opportunities move closer to signed deals, our visibility into end-user demand improves, and that allows us to more effectively align supply to demand and scale the supply chain in a measured, capital-efficient way.

We are already seeing this improvement and I will come back to touch on this shortly. The rest is timing. Our customers ramp their deployments at the speed at which their own markets grow, and several ramped later than we had forecasted. Those deployments are moving now, and the pace is picking up. We are also getting better at reading these cycles early, which is what improves our close rates moving forward. From a region perspective, the biggest impact we had was the Middle East, which remains uncertain.

What we believe is critical moving forward is that we continue to build a broader customer and partner base so that fewer individual deals determine a quarter. And there's evidence that that is working. We received our first purchase order out of Europe, where we've already shipped thousands of units. Opportunities are growing across the portfolio throughout Asia Pacific, where we have very strong partner-led engagements, and we're beginning to build a pipeline in the United States.

Our pipeline and customer base is broader and more diversified than it's ever been. Next, I will touch on the two primary revenue engines for Blaize Holdings moving forward. First is aero robotics and ruggedized platforms. I mentioned earlier that our focus is on building a scalable and predictable go-to-market engine, and that is exactly what this line of business gives us. These customers have demand for much higher volumes, provide monthly rolling forecasts, and provide deposits to secure inventory.

Our differentiation is our architecture. We are being selected in deployments that are constrained on size, weight, power, and heat; where the customer needs sustained real-time performance inside a fixed envelope rather than peak benchmark numbers; and where they're building our SDK directly into their own product. That is a narrow set of requirements and it's where a purpose-built accelerator such as Blaize Holdings does better than a general-purpose part.

We are being pulled into these opportunities across every market where we have presence. Once we qualify our solutions, opportunities arise for reoccurring revenue. Our second revenue engine is the hybrid AI platform, which we brought to market two quarters ago and is what our AI services runs on. It lets cloud and data center providers deploy faster and open new revenue streams for their own customers through API services. We are actively pursuing several national-scale programs, each at a different stage: facility supervision for a national food service group across thousands of sites; production quality grading for a manufacturing company; fuel retail monitoring for a national fuel network with hundreds of stations. In each of these we are providing the platform and the models, and system integrators are handling the deployment. These engagements take time to close and are not forecasted in our current guidance. However, when they do close, we get more than just the contract. We get a proven solution that can be replicated with customers anywhere in the world.

We've also found that there are opportunities to expand even further on our hybrid AI platform and to play a much broader role in new data center buildouts, including providing professional services, our AI services suite, and advising on the AI architecture of the build. As an example, there's a national government program building out a data center in the range of 150 megawatts. Our role is an active discussion, and while there are many details to work out, the intent on both sides is to move towards finding terms.

We have a second sovereign program under discussion with a similar structure and with a different government, but the same partner model. These types of engagements are much longer in nature and are also not included in any of the guidance that we've given today. But they indicate that not only does our platform work with existing customers, but also new cloud buildouts as well. And although these two revenue engines may sound like opposites, they're actually designed to reinforce each other.

Physical AI puts our silicon inside real deployments. Today, the hybrid platform is how we take that into vertical services that enterprises and governments are asking for. And over time, we expect those same customers become the consumption base for the AI data centers of the future that we intend to help enable. That is where our focus is. With that, operator, we're ready for questions.

OPERATOR

Thank you. As a reminder, to ask a question, you will need to press star-11 on your telephone to remove yourself from the queue. You may press star-11 again. Please limit yourself to one question and one follow-up to allow everyone the opportunity to participate. Please stand by while we compile the Q&A roster. Our first question comes from the line of Kevin Cassidy of Rosenblatt Securities. Your line is open, Kevin.

Kevin Cassidy, Analyst at Rosenblatt Securities

Yes, thanks for taking my question. And, you know, I guess just understand. Could you help us understand a little better about the customer delaying their purchases? Is it you're saying their end markets aren't moving as quickly? You know, are they not seeing the benefits of AI, or are the price increases slowing them down, that maybe there's not as good a return on investment? Maybe just a little more detail around. Why. Why are there so many delays?

OPERATOR

Gentlemen, your line is muted. Still not hearing a response.

Deneker Monegalla, CEO

Operator, can you hear me? There we are.

OPERATOR

Yes, sir, please proceed.

Deneker Monegalla, CEO

Can you hear me? Is my audio coming through?

OPERATOR

Yes, please proceed.

Deneker Monegalla, CEO

Okay, so let me start, and then Stephen can jump in. The nature of some of these projects are tied to camera deployments. So they are about cameras being deployed in the field and then behind that pulling in boxes and then software from Blaize Holdings. So that's the delay. I'll let Stephen jump into that as well.

Stephen Petak (Chief Revenue Officer)

Sure. For several of our AI service opportunities, we're working with data center and cloud service providers. And as we continue to build our portfolio on our own capacity, they've also got to drive their own demand in the markets in which they serve. So the faster they drive the demand for those type of services, and in this example being computer vision, we will continue to see more orders and more capacity that they will need from us. And, and that's just what some of the delay has been.

It has nothing to do with demand, pricing, or anything else. It's just their own services ramping. And so therefore the capacity that we sell them and they buy from us can ramp at the same levels. And that's where we've seen some of the delay.

Deneker Monegalla, CEO

And just to the underlying demand is definitely there. And that's where the whole backlog comes in that we've announced based on contracts.

Kevin Cassidy, Analyst at Rosenblatt Securities

And then, you know, opening up Europe. That's. That's great news. And just wonder if you could compare the opportunities that you have in Europe. You know, how do they compare to the US or Southeast Asia that you've been winning? Are they faster time to market, or are they, you know, I guess. Or is it just more shots on goal, having another territory open?

Stephen Petak (Chief Revenue Officer)

No, they're. This is Stephen again. Look, they're very similar and in line with where our revenue engines are, you know, across all three of those pillars which we spoke about. What I will say is we've got to be very focused on our go-to-market and we've got to be very intentional on the opportunities that we pursue and when we pursue them. And naturally you mentioned Asia Pacific and that started showing itself a couple of quarters ago. And then naturally behind, we had opportunities in Europe that also started showing themselves.

The customers that we're talking about now, we've been working with them for a couple of quarters to validate and qualify our solutions, and that's paid off as we've seen with our first purchase order. And as they continue to finish their qualification, now we're going to see really that moving at scale. So whether it's the US business, Europe, Asia Pacific, they're all really being driven by those pillars we talked about from both the autonomous systems as well as the hybrid AI platform.

Kevin Cassidy, Analyst at Rosenblatt Securities

Okay, thanks.

Stephen Petak (Chief Revenue Officer)

Thank you.

OPERATOR

Thank you. Our next question comes from the line of Gil Luria of D.A. Davidson. Your line is open, Gil.

Gil Luria, Analyst at D.A. Davidson

Thank you. Based on the. You gave us an update on Starshine and Neotensor. Based on the other business that you have and the backlog that you're looking at right now, can you give us an early sense for what the picture looks like in terms of revenue and revenue growth for 2027?

Deneker Monegalla, CEO

Sure. The 50 million that we're talking about is essentially a commitment from Neotensor, which you remember we announced earlier, a contract of up to 50 million. So this 70 million is an amendment to that agreement, and we're expecting that 50 million to go into 2027. I'm expecting 2027 to be probably 2.5 to 3x where we are guiding this year to end at.

OPERATOR

Thank you. Thank you. Our next question comes from the line of Craig Ellis of B. Riley Securities. Your line is open, Craig.

Craig Ellis, Analyst at B. Riley Securities

Yeah, thanks for taking the question, guys, and appreciate all the information so far. The first question is really a clarification inside of the updated calendar year '26 guide. So. So our midpoint's 41.5 million, and that would imply, after the revenues in the first half of the year, about 26.5 million in the second half. So we're talking about good half-on-half growth. The question is this: can you help us with the linearity of revenues from the third quarter to the fourth quarter?

And it seems like about two-thirds of the second-half revenues would be our new server program, is that right? And what other programs would make up the balance of revenue?

Deneker Monegalla, CEO

So, hey Craig. So I would see. I'm expecting Q3 to be similar to Q2, and Q4 will be a little bit heavier than that. Any upside that some of the things that Stephen talked about will more likely come and hit us in Q4. But you're right that the 70 million, or part of the 70 million, is going to be the majority of what happens in Q3 and Q4. And again, going back to the discipline that we're applying to guidance is, you know, those are contracts in hand.

There are others that would expect it to follow shortly in time maybe.

Stephen Petak (Chief Revenue Officer)

I can answer all. Thanks, Steven. I can answer the second part of your question as well. Look, we have an incredibly high confidence level on the way that we just guided.

UNKNOWN, Analyst

We have 90% of those orders in-house. The additional 10% is not single-threaded on any given deal, and so a very high level of confidence as it relates to how we get to the deal number that we just stated. Yeah, and I think a lot of us will find that conservatism refreshing, Stephen, so thanks for that. And it seems like there's conservatism in the way you framed up your own backlog just given program size. My follow-up question was really related to longer-term items, and I'll phrase it this way: as the team looked at how it was going to frame this year's expectations, I think the press release indicated there were a number of opportunities that were excluded from this year's new revenue guide, but it seemed like those opportunities were still advancing—and is that the case? And as we think about the four national-scale hybrid AI platforms, can you just help us understand, could those be things that contribute to revenue next year? What would lead to that? And if next year would be the first year of revenue, what's the timeframe we're talking about across these four different opportunities?

Thanks, guys.

Stephen Petak (Chief Revenue Officer)

Yeah, sure. Thank you for the question on those. To your point, those are not included in the guide. They are moving forward vigorously through the sales stage, through customer acceptance and qualification. Right now I would peg, you know, at least—you know, let's call it—I don't want to ever call all four of those, but let's just say those subset of opportunities would look at it to be Q1 of next year. And, you know, our goal is to be able to bring that into this year and provide above and beyond the guidance, but right now I would peg that for Q1 next year.

Deneker Monegalla, CEO

And just to calibrate—right—I think the trends that we're witnessing are important: everything to do with aerial, autonomous robotics, and hybrid AI. And that's what is driving the demand. So we're feeling good about how our AI services and hybrid AI is actually helping our customers, and that's driving all the demand.

UNKNOWN, Analyst

Thanks, guys.

OPERATOR

Thank you. Once again, to ask a question, please press star 11 on your telephone. Our next question comes from the line of Richard Shannon of Craig-Hallum Capital Group. Your line is open, Richard.

Richard Shannon, Analyst at Craig-Hallum Capital Group

Thanks, guys, for letting me ask a couple questions as well. I guess the first one is on—we talk about an elongated sales cycle here. I guess one thing I want to confirm is that these opportunities are still in the pipeline and not lost. Can you clarify the degree to which that is the case?

Stephen Petak (Chief Revenue Officer)

Absolutely. All these opportunities are still in the pipeline and are not lost. And, you know, honestly, our pipeline continues to grow. But the reality is for us right now is we are focused on the opportunities that are in front of us that we can execute and close as quickly as we can, and the ones that we're speaking about now are absolutely still in the pipeline—just simply have moved from a timing perspective.

Richard Shannon, Analyst at Craig-Hallum Capital Group

Okay. And to follow up on this general topic, you cited the memory costs which are well known in this market here. I mean, do you need to see these come back down in order for these engagements to re-accelerate or reignite or whatever? Or do we just need to stay flat here? Or just what do you—what needs to happen here with memory costs in order to, you know, make good on this pipeline?

UNKNOWN, CFO

Hey, Richard. So we're doing a couple of things. Number one, we already started conversations with the memory suppliers to see what it would take to go do some forward buying, what kind of commitments they need, and that conversation is ongoing. And really the second thing is that we've invested probably eight and nine million dollars already in forward buying certain components, chips, and some of the boxes and so on that are required, and most of those are going to turn into revenue over the next six to nine months.

So we're trying to manage the cost that way. The final point I'll make is that we're reserving the right to change pricing as memory pricing changes—change the pricing to the customer—so that we maintain, at least when we're doing third-party hardware, at least we're maintaining a reasonable margin.

Richard Shannon, Analyst at Craig-Hallum Capital Group

Okay, that makes sense. And one last question for me and I'll jump out of line here. You mentioned these four national programs. Obviously I've identified the countries and wouldn't expect you to, but some countries are very small and some are large here. Could you give us some sense of how big these programs can be? Certainly, in your press release and in your prepared remarks you talked about some deals with thousands of servers. Is that the kind of scale we're talking about, or could it be more?

Just give us a sense of what these could be.

Deneker Monegalla, CEO

Yeah, I think that's fair. Look, because of our—I would say our focus in the last couple of quarters—several of these deals that we mentioned are in Southeast Asia. And so, you know, really primarily we're seeing the acceleration of the sales process and the sales cycle because we have a very strong partner-led model there, and one we've mentioned in the past—one being Nokia—and that allowed to accelerate that as well. And these are very large opportunities across several countries in Southeast Asia. So I think that that scoping that you gave is reasonable.

Richard Shannon, Analyst at Craig-Hallum Capital Group

Okay, perfect. That is all for me, guys.

OPERATOR

Thank you. Thank you. This concludes the question and answer portion of today's call. At this time I would like to turn the call back to Deneker for closing remarks.

Deneker Monegalla, CEO

Thank you all for joining us. Let me close with the three things we are driving from here. First, conversion, turning what we are pursuing into committed orders so it lands as revenue this year and as backlog into 2027. Second, margin—it improves when full solution goes in: our silicon, our software with AI services on top. We expect the first revenue from AI services this year. Third, cost—we have reset our revenue outlook this quarter and we are aligning our spending to match it.

I said earlier that the economics of inference are now the deciding factor and that this is the market our architecture was designed for. That has not changed and neither has our conviction in it. Every AI deployment being built right now will run inference for years after it goes live. Stephen showed you where the demand is coming from: enterprises, governments, sovereign programs. We are built for it on all three fronts—the demand in front of us, the software we are adding, and the next-generation product that comes next.

And on current expectations, we are entering 2027 carrying approximately $50 million of that committed business. Thank you for your time and your support.

OPERATOR

This will conclude today's conference call. Thank you everyone for joining. You may now disconnect your lines.

Disclaimer: This transcript is provided for informational purposes only. While we strive for accuracy, there may be errors or omissions in this automated transcription. For official company statements and financial information, please refer to the company's SEC filings and official press releases. Corporate participants' and analysts' statements reflect their views as of the date of this call and are subject to change without notice.