Good afternoon. Thank you for attending today's SGH Q3 fiscal 2023 earnings call. I would now like to turn the conference over to our host, Suzanne Schmidt, with Investor Relations. You may go ahead. Thank you, operator. Good afternoon, thank you for joining us on today's earnings conference call and webcast to discuss SGH's Q3 fiscal 2023 results. On the call today are Mark Adams, Chief Executive Officer, Jack Pacheco, Chief Operating Officer, Ken Rizvi, Chief Financial Officer. You can find the accompanying slide presentation and press release for this call on the Investor Relations section of our website. We encourage you to go to the site throughout the quarter for the most current information on the company. I would also like to remind everyone to read the use of forward-looking statements note that is included in the press release and the earnings call presentation. Please note that during this conference call, the company will make projections and forward-looking statements, including statements about the company's growth trajectory and its 2023 financial outlook. Forward-looking statements are based on current beliefs and assumptions and are not guarantees of future performance and are subject to risks and uncertainties, including, without limitation, the risks and uncertainties reflected in the press release and the earnings call presentation filed today, as well as in the company's most recent annual and quarterly reports. Except as required by applicable law, we assume no responsibility to publicly update or revise any forward-looking statements. We will also discuss both GAAP and non-GAAP financial measures. Non-GAAP measures should not be considered in isolation from, as a substitute for, or superior to our GAAP results. We encourage you to consider all measures when analyzing our performance. A reconciliation of the GAAP to non-GAAP measures is included in today's press release. With that, let me turn the call over to Mark Adams, CEO. Mark? Thanks, Suzanne, thank you all for joining us today for our fiscal 2023 3rd quarter call. Over the past 3 years, we have made tremendous progress on the transformation of SGH. We have grown our top line, increased our gross margins, delivered strong earnings per share, and strengthened our balance sheet by generating positive operating cash flow. Earlier this month, we announced that we had agreed to divest a majority stake in our Brazil consumer memory business, enabling SGH to shift our business towards high-performance, high-availability solutions for enterprise customers. Macroeconomic headwinds persist, we believe we are well positioned for long-term success, driven by secular tailwinds in AI, machine learning, and data analytics. Ken will review the financials in more detail, I would like to call out some highlights from our 3rd quarter performance. Our team achieved strong results for the Q3 in what remains a very challenging global economic environment. Non-GAAP gross margins was 28%, up 230 basis points from the year ago quarter, and non-GAAP diluted earnings per share totaled $0.66 on sales of $383 million. We generated strong cash flow from operations of approximately $41 million in the quarter and exited Q3 with a strong balance sheet, including record cash and cash equivalents of $401 million. Let me review each of our business lines. Starting with IPS, which is comprised of our Penguin Computing and Stratus Technologies brands. We design, manufacture, deploy, and provide managed services for high-performance computing for the data center, the cloud, and the edge. AI, machine learning, and data analytics are becoming foundational technologies for the success of enterprises across a growing set of industries. We believe that Penguin Computing, which has more than 25 years of experience in the deployment of HPC systems and solutions, is well positioned at the forefront of the generative AI revolution. Our team has designed, built, and managed some of the largest and most powerful supercomputers in the world, including managing a total of more than 50,000 NVIDIA GPUs for AI training at scale. Our engagement model is focused on developing tailored solutions for our customers. We architect a system that integrates technologies such as compute, storage, and networking that optimize for our customers' unique HPC and AI workload requirements. Our Scyld ClusterWare software provides an intelligent suite of management functionality, including node provisioning, image customization, and cluster monitoring, while serving as a platform for additional software components. What we believe differentiates Penguin Computing from the competition is our ability to work with our customers from the design phase through integration, all the way through to implementation and management of large HPC and AI clusters. Additionally, we are able to provide solutions on-premise, in the cloud, and at the edge. In the Q3, IPS sales totaled $171 million, which represented 45% of total SGH sales, reinforcing the transformation we are going through. Compared with the year-ago quarter, IPS sales increased by 31%, excluding Stratus Technologies, and were up 79% by including Stratus. Our service revenue, the majority of which is generated in IPS, represented 15% of total SGH revenue in the Q3 and reflects the incremental value we are providing to our customers. Our services include point-in-time services, such as design and implementation, as well as longer-term managed services. During the quarter, we continued to introduce new technologies and capabilities in the market. Penguin announced a new version of its flagship Scyld ClusterWare software platform, which is a powerful management and monitoring tool that empowers customers to expand their own HPC clusters. This new version provides greater scalability, boosts performance, and delivers greater ease of use for users. Stratus announced the next generation of its fault-tolerant computing platforms that enable our customers to run business-critical applications such as transaction and payment processing to industrial automation at the core, in the cloud, and at the edge. During the quarter, Meta announced the completion of the 2nd phase build-out for their AI Research SuperCluster, known as RSC. As their implementation partner, Penguin worked with Meta to design the AI-optimized infrastructure that powers their RSC, improving the overall cluster management and implement the system. The Navy DoD Supercomputing Resource Center's newer supercomputer, named Nautilus, is a Penguin TrueHPC system featuring 48 GPU nodes. This HPC system, which completed its final testing in April, enables scientists and researchers to use complex applications to unlock weather patterns and ocean modeling, providing predictive insights about the Earth's climate and sustainability. Today, we are also announcing that Dave Laurello, who joined us as CEO of Stratus at the time of the acquisition, will take on an expanded role as President of IPS, replacing Thierry Pellegrino. We believe that Dave Laurello's extensive experience building and leading technology teams while serving Fortune 100 enterprises will help us scale our customer engagements and overall operations. Prior to Stratus Technologies, Dave Laurello also worked in executive roles at Lucent Technologies and Digital Equipment Corporation. While there is a heightened level of customer engagement with regards to HPC AI opportunities, we recognize that we are still in the early stages of generative AI and machine learning. As we have noted on prior calls, we expect IPS sales will be lumpy due to the deployment timeline decisions and cycles of large customer installations. Over the long term, under Dave Laurello's leadership, we believe we are in a position to capitalize on these emerging market trends. Shifting to memory. Our Memory Solutions Group is currently made up of two businesses, Specialty Memory, which is focused on specialty memory applications in the enterprise, and our Brazil Module business, primarily serving the consumer market. Overall, Q3 memory revenue came in at $148 million, or 39% of total SGH sales, and was relatively flat with the Q2. We have a long history of serving enterprise customers in the networking, telecom, and industrial end markets. An area of focus going forward is to leverage this expertise to help drive memory subsystem innovation in AI and machine learning. For example, our CXL offerings remove the performance and latency bottlenecks between GPUs, CPUs, and memory in HPC applications. We are seeing strong design activity and customer interest for our CXL offerings, and the wide variety of CXL architectures required by customers plays to our strength. In addition to our development efforts with CXL, we continue to implement leading-edge test processes to ensure high levels of quality and reliability for our enterprise customers. Our Zero Failure Rate, or Zefr memory offering, is gaining significant interest among major customers as it meaningfully reduces field failures and helps to maximize system utilization. During the quarter, we started shipping DDR5 Zefr memory models, which when combined with our DDR4 Zefr memory models, gives SMART Modular key differentiation and high availability memory products. Our memory business continues to demonstrate relative stability throughout the current memory cycle due to the specialty nature of our value-add business model. In the Q3, this translated into operating margins of approximately 8% for our memory business. Turning to our LED Solutions Group, which operates under the Cree LED brand and produces application-optimized LEDs for specialty lighting, video screens, gaming displays, horticulture, outdoor, and architectural lighting. For the Q3 of fiscal 2023, LED Solutions totaled $64 million, or 17% of overall SGH sales, were up 15% sequentially from what could have been the bottom in the Q2. While customers are continuing to work down inventory levels, we are seeing customer design activity improving. Typically, as we come through these cycles, we look for this as a precursor to demand improving. While we are still in early days in the cyclical recovery of the LED market, we are optimistic that the business will have a stronger fiscal 2024. Cree continues to be recognized as a leader in customer-focused innovation. During the Q3, LEDs Magazine awarded three of Cree's LEDs latest product releases with BrightStar Awards for innovative LED products. The XLamp Element G and Pro9 LEDs were recognized in the LED Light Sources category, while the Photophyll Select LEDs were recognized in the Horticulture, SSL, and Control Systems category. By continuing to invest in advanced LED technology, Cree is able to empower its customers with new and innovative LEDs to achieve remarkable system-level solutions. We believe that the combination of industry-leading technology and IP, a capital-light outsourced manufacturing model, and disciplined expense control has positioned Cree well in these challenging times. We are starting to see signs of improving customer demand and expect revenue to be up modestly in the Q4. I'll stop here and hand it over to Ken for a more detailed review of our Q3 financial performance and our guidance for next quarter. Ken? Thanks, Mark. I will focus my remarks on our non-GAAP results, which are reconciled to GAAP in our earnings release tables. Now let me turn to our fiscal Q3 2023 results. Total SGH revenues were $383 million, and non-GAAP gross margins came in at 28% at the midpoint of our guidance. Non-GAAP diluted earnings per share were $0.66 for the Q3. The beginning of this fiscal year, we began providing the breakdown of our overall revenue by product and services. As a reminder, our services revenue includes longer-term services, as well as point-in-time services such as logistics and implementation services. In Q3, our overall services revenue totaled $58 million, up from $48 million in the year-ago quarter, helped by the inclusion of Stratus, which we acquired in the beginning of this fiscal year. Product revenues were $326 million. Q3 revenue by business unit was as follows: IPS was $171 million, memory was $148 million, and LED came in at $64 million. This translates into a sales mix of approximately 45% IPS, 39% memory, and 17% LED. Non-GAAP gross margin for SGH in Q3 was 28%, up from 25.7% in the year ago quarter, driven primarily by IPS. Non-GAAP operating expenses for the Q3 were $70.9 million, down from $72.5 million in the Q2 of 2023. Operating expenses were down from the prior quarter, primarily due to continued cost containment initiatives, as well as lower bonus accruals. Operating expenses benefited in the Q3 of 2023 from $0.4 million in financial credits in Brazil, which was down from $1.4 million in the Q2 of 2023 and down from $3.3 million in the year ago quarter. This credit is expected to provide minimal benefit in our Q4 of 2023. Non-GAAP diluted earnings per share for the Q3 of 2023 was $0.66 per share, compared with $0.87 per share in the year ago quarter. Included in our non-GAAP EPS for the Q3 is a reduction in taxes of approximately $6.5 million, or $0.13 per diluted share, as we anticipate using additional prior year net operating losses to offset U.S. taxable income for fiscal 2023, which also has the benefit of reducing our cash taxes for the year. Adjusted EBITDA for the Q3 of 2023 was $45 million, or 12% of sales, compared to $64 million, or 14% of sales in the year ago quarter. Turning to balance sheet highlights, for working capital, our net accounts receivable totaled $244 million, compared with $229 million last quarter. Days sales outstanding came in at 42 days, up six days from the last quarter, primarily due to the timing of invoicing and collections for IPS.... Inventory totaled $226 million at the end of the Q3, down from $294 million at the end of the prior quarter. The decrease in inventory was driven primarily by a reduction in IPS and memory inventories in the Q3. Inventory turns were 7.6 times in the Q3 versus 6.3 times in the prior quarter. Consistent with past practice, net accounts receivable, days outstanding, and inventory turnover are calculated on a gross sales and cost of goods sold basis, which were $526 million and $428 million, respectively, for the Q3. As a reminder, the difference between gross and net revenue is related to our logistics services, which is accounted for on an agent basis, meaning that we only recognize the net profit on logistic services as revenue. Cash and cash equivalents totaled a record $401 million at the end of the Q3, up $25 million compared with $376 million at the end of the prior quarter. Q3 cash flows from operating activities totaled $41 million, compared with $101 million in the prior quarter. For those of you tracking capital expenditures and depreciation, capital expenditures were $13.3 million in the Q3, and depreciation was $9.5 million. Earlier this month, we announced an agreement to divest the majority stake of SMART Modular Brazil. The 81% divestiture of the commodity module business in Brazil will enable SGH to focus on our strategy of delivering high-performance, high-availability solutions to our enterprise customers. The proposed purchase price values 100% of SMART Brazil at an initial enterprise value of $205 million, and values our 81% disposition at $166 million. We will receive an upfront cash payment of approximately $138 million, subject to certain customary adjustments and a deferred cash payment of approximately $28 million to be paid 18 months post-closing. The transaction is expected to close by the end of calendar year 2023, subject to regulatory approval and satisfaction of customary closing conditions. The parties have also agreed to a put call feature for the remaining 19%, exercisable during 3 exercise windows between 2027 and 2029. The put call values 100% of the Brazil business at 7.5x its fiscal year net income. For example, if the put call is exercised in 2027, the reference net income would be fiscal 2026, and SGH would receive 19% of such value at the time of, and subject to, the exercise of the put or call. For reference, the Brazil business revenue totaled $153 million through the first 3 quarters of 2023, and approximately $39 million in the third fiscal quarter. Based on current run rates for the business, at closing, we would expect this divestiture to be immediately accretive to our non-GAAP gross margins by over 200 basis points, and also neutral to slightly positive to our non-GAAP earnings per share. Now, let me turn to our Q4 fiscal 2023 guidance, which includes Brazil. We expect that revenues for the Q4 of 2023 will be approximately $375 million at the midpoint, ±$25 million. Our guidance for the Q4 incorporates the following assumptions: For IPS, which is more project-oriented with variability related to the timing of hardware sales, we expect sequential revenues to be down slightly at the midpoint. For memory, which includes SMART Brazil, we expect total revenues to be relatively flat sequentially. For LED, we expect revenues to be up modestly in the Q4. Our GAAP gross margin for the Q4 is expected to be approximately 26% at the midpoint, ±1%. Non-GAAP gross margin for the Q4 is expected to be approximately 28% at the midpoint, ±1%. Our non-GAAP operating expenses for the Q4 are expected to be approximately $71 million, ±$2 million. GAAP diluted earnings per share for the Q4 is expected to be approximately $0.02, ±$0.15. On a non-GAAP basis, excluding share-based compensation expense, intangible asset amortization expense, debt discount, and other adjustments, we expect diluted earnings per share will be approximately $0.45, ±$0.15. Our GAAP diluted share count for the Q4 is expected to be approximately 54.5 million shares based on our current stock price. Our non-GAAP diluted share count is expected to be approximately 52.5 million shares, as it includes the benefit of our convertible note capped costs. Cash capital expenditures for the Q4 are expected to be in the range of $15 million-$20 million. Our non-GAAP taxes for the Q4 are expected to be in the 11% range as we get continued benefit from our U.S. net operating loss carryforwards. However, as we look into fiscal 2024, we will have used the majority of our available U.S. tax attributes, and our non-GAAP effective tax rate is expected to increase to the low to mid-20% range. We continue to manage our operations in a prudent manner as we navigate a challenging environment, while also continuing to invest in our long-term growth. Please refer to the non-GAAP financial information section and the reconciliation of GAAP to non-GAAP measures tables in our earnings release for further details. Now let me turn it back over to Mark for a few remarks prior to Q&A. Thanks, Ken. While we are in the early stages of AI, machine learning, and data analytics deployment, we feel SGH is well positioned to grow over the next three to five years. As such, we continue to transform into a business focused on delivering high availability, high performance enterprise solutions that help our customers solve for the future. We are not only benefiting from the right secular tailwinds in terms of end markets, but we have an operating model that has performed well throughout the cycle. The combination of our shift towards enterprise solutions and the secular tailwinds, coupled with this discipline on how we operate the company, make us optimistic about the future and our ability to deliver long-term value to our shareholders. With that, operator, we are now ready for Q&A. Hi. Excuse me. Thanks for taking my question, and congratulations on the great results and good guidance. Maybe, you know, there's of course, a lot of questions around the IPS business right now and the interest in AI. Can you say how your RFQ funnel or maybe opportunity funnel has grown, say, since the beginning of the year? How are you addressing it? You know, I guess, how are you choosing which customers to pursue? Great, Kevin. This is Mark. Thanks for the question. Well, needless to say, the level of activity is noticeably on the uptick. You know, the, the second part of your question is really an opportunity and a challenge for us because, you know, our model is, is a bit different. We're looking for customer relationships that really want us from a trusted advisor role and all the way from the beginning of our engagement on designing systems and solutions to implementing them and then managing them, you know, post-deployment, if you will, post-installation. You know, the criteria around how we do it, just given the level of activity, is really what's the best fit in terms of a partnership model with the customer and what role we can play. That's how we're looking at it, because it, you know, as you might imagine, if it's just a hardware play, that's a game we don't want to be in, and we're trying to select the type of relationships we engage with to be those that are a little bit more full, you know, full service-oriented. Maybe just to add on to that, the, you know, what interest are you seeing from various vertical markets? It's more than just cloud, or are you seeing, you know, broad interest? This is. That's also interesting because it's really taken off in terms of the vertical, kind of, expansion, if you will. Certainly, the cloud hyperscalers, you know, kinda early to market on some of this, and I'll come back to that in a second because it's just not the big names. There's a, there's a class of what I would call tier two, tier three cloud providers that are building out data centers for custom-type application environments, which is obviously very interesting to us. I think financial and healthcare are two that are very interesting for us. Oil and gas continues to be one that's very interesting to watch. I'd say one we continue to take a look at is just education and research. While that was kind of the original market segment for HPC to expand over the years, AI is taking on a new definition of what that opportunity looks like in, in terms of science and research and what have you. I know that sounds like a lot, but I mean, everyone's taking a look at how they can enable AI in their enterprise, it has been a interesting, you know, year to watch the horizontal expansion of customer interest. Great. Thanks, Mark. Thank you. Good afternoon, guys, and thanks for taking the question. I just wanted to hit on the AI topic again, obviously very important in these times. Is it possible you obviously have some exposure to, quote-unquote, "AI" in these, the Specialty Memory business, and then you have some through Penguin. If you were to assign just a% in terms of what you view as AI as a% of total revenue today, would you be able to size that for us? That's a tougher one for us to kind of do that. Let me, you know, in my script, I talked about our deployment of GPUs at scale, as, you know, kind of roughly over 50,000 GPUs. If you kind of play that out in the industry, you could see that level of scale. It's kind of hard because I've got to, like, take liberty with definitions when we talk about an AI system. Does that include the networking component, the storage component, service component, or is it just the platform? We don't really have a good metric, and I just don't want to mislead you. The index I just gave you of 50,000 NVIDIA GPUs under management, that's that should be telling that we're looking to continue to grow and invest in that area. Ken, I'll take a little bit more. Yeah, Tom, that's a great question. I think if you look at it, and as Mark mentioned it's tough to decipher one for one. If I look at systems that either use a lot of GPUs or systems that in Jack's business, in Specialty Memory, that are going into the data center for these generative AI applications and the like, you know, my guess is that number for our fiscal 2023 is probably trending north of $250 million in aggregate, could be north of $300 million if we look at it on a blended basis. You're saying fiscal 2023, the AI exposure is greater than $300 million? I'd say greater than 250, approaching the 300. Got it. Helpful. Mark, you made the comment that Q2, looking back, may have been the bottom for the LED business. Could you talk about what you've seen in terms of changing trends there? Obviously, there were some tough times in China, could you just remark on what's gotten better? Sure. I think the primary index for us has been, despite some continued channel burn, the customer design activity, which is a good precursor and index for us, the customer design activity is up and positive. Look, I don't want to celebrate, you know, too much from the bottom, but revenue quarter over quarter three two was up 15%-ish, and that at a time where there was still more channel burn. It's not like we're building inventory in the channel to achieve revenue growth. We got good revenue growth from the bottom at a time where the channel is still burning some revenue. I would just say overall, that coupled with the design activity is very favorable. The other thing I would say is, you know, this LED market environment is not germane or specific to Cree. As a matter of fact, I would encourage you to benchmark Cree's performance relative to the competitive landscape. Cree's done a great job, and it's just been a tough business, very similar to the memory environment, Tom, but Cree has done a great job navigating some really tough headwinds during the macroeconomic environment they've faced, and I'm just really impressed at the, how they've kind of navigated and gotten to today. Helpful. Then just if I could sneak in one more. Traditionally, you see some very strong seasonality for your IPS business into the November quarter. You commented in your slides for IPS that you just completed the second phase, with Meta on the supercluster. Is there any reason why November seasonality would be any different than what you've seen historically there, just given some of the programs have wound down? Well, it's kind of a loaded question that I'm going to try to answer, but it's a tough question, being that, the timing of these deployments. You know, when you're growing, like we've grown, we've got, you know, we've been able to navigate a lot of this, but timing of some of these deployments, not just the budgeting piece upfront with our customers or even the large scale customers and how they're allocating budgets, but also just once you get the orders, when those get installed and how they get installed, the supply chain challenges. I mean, the supply chain has improved broadly. If you look at certain key technologies, the networking component of these installations, the GPU availability of the leading-edge GPUs in the industry, you know, I just can't commit that everything's going to be the same as the prior year, given, you know, all the, all the factors that I just went through: lumpiness, concentration, deployment, timing, capital budgets, supply chain. You know, we are long-term believers. We think we're in a really good place, but I want to stop short of calling quarters that far in advance. Really appreciate all the color. Thank you, guys. Thank you. Thank you. It's great to hear about the demand strength that you guys are seeing in AI. A couple of quick questions here. One, do you see the demand for these AI servers to be crowding out spending on traditional servers? Meaning it's coming out from the same fixed budget, but that may not be impacting you guys. The second question I have is, if you can give us an update on your Penguin On Demand solution, that would be great. What kind of customer appetite are you seeing for consumption model versus, like, traditional CapEx model, particularly as it relates to HPC and AI market? Can you just repeat, restate the first part of the question? The first part is just trying to figure out that everybody is spending a lot more money in AI, and of course, you see a big uptick in demand string. Do you see that as the basically, it coming from a fixed IT budget, that some of the money is being pulled from traditional spending on traditional servers? You know, I'm not sure that I can really give you a definitive answer there. Here's what I would say. We have seen in fiscal 2023 money reallocated when there is commercial success in the deployment and the production side of the house for these type of systems. As far as next year's budget process, obviously, our fiscal year is off cycle with the budget process of our largest enterprise customers. You know, I think if I had to guess, I would say yes, probably there'd be some shifting of budgets toward this, but, you know, you're talking about, you know, different type of customer environments. In the, in the ultra scale, hyperscale customers, they obviously have a lot of infrastructure they have to build out, not just AI, but just pure, you know, cloud resource capabilities. In some of the more, newer verticals, yeah, I think the math adds up. Let's remember that we're not quite out of the woods on the overall macroeconomic headwinds. I'm guessing that there'll be money that needs to be shifted appropriately, but it's just such a broad question that I want to just caution my answer a little bit. The second piece you asked about on Penguin Solutions. Got it. Sorry, go ahead. Yes, Penguin On Demand. Yeah, the Penguin On Demand piece for us is something that we are kind of shifting slightly our model on demand. We announced this year in fiscal 2023, a partnership with Google Cloud as an HP partnership model with them. While we do have cycles being used on our POD, Penguin On Demand platform, our strategy really is to leverage some of the capabilities and infrastructure with our Google partnership. In addition to that, leverage our control plane software, the Scyld cloud software platform, that allows people to run their workloads in a hybrid environment, both on-prem and in the cloud, and just really focus on their workload optimization, not necessarily caring where that workload is being processed. Okay, great. Maybe a follow-up question, looking at the Brazil memory divestiture. You talked about EPS being neutral to slightly positive. Can you talk about what's included in that assumption in terms of the use of proceeds from the divestiture? Kind of related to that, now that you all have divested the Brazil memory business to focus on enterprise solutions, how are you thinking about other non-enterprise driven businesses? Maybe you can touch on your M&A strategy going forward. That would be great. Thank you. Yeah, sure. Good question, Sidney. If we look at the accretion dilution, one, we said on the formal portion of the transcript that we would expect the gross margin accretion to be north of 200 basis points, and the transaction based on the current run rates to be kind of neutral to slightly positive to our non-GAAP EPS. That does not include what the net proceeds that we would receive, it is just based on the current state and run rate of the Brazil business. If we look at the net proceeds, I think this was your second question, in terms of how we look at and where we will deploy that, we really have, I would say, three to four vectors in terms of how we think about capital allocation. First and foremost, continue to invest in the business. I think Mark highlighted on his formal comments, you know, continued investment in the IPS segment. There's lots of opportunities, as you could imagine, with our platform and our ability to grow longer term in that segment. Number two, it is to look at M&A and inorganic opportunities similar to Stratus, which we closed here earlier this fiscal year. Those have been great additions to our overall business line. Number three is returning capital back to shareholders. If you looked over the last 12 months or so, we've returned about $58 billion in terms of share repurchases. Also, I would say, 4 is looking at reducing our gross debt levels. Our net debt levels are very reasonable, but just looking at potentially reducing gross debt. In terms of the net proceeds from Brazil, once that transaction closes, we would look at those opportunities. Yes, thank you, and congrats, as well on great results. A question again on the AI business, the IPS business. You mentioned it grew 31% year-over-year, excluding Stratus. When we're thinking about, you know, the overall, you know, market size for this opportunity, is there a way to think about it from kind of a bottoms-up view? You know, how are you kind of valuing the overall market opportunity? Are you kind of valuing it in terms of potential projects, based on certain verticals that you're targeting? You mentioned conceptually, you know, some of these verticals, you're focusing on financial services, healthcare. Just any kind of thoughts on long term in terms of how you are identifying and quantifying the size of the market, and how that leads into your pipeline of business that you wanna try to go after? Sure. I'll start and then let Ken jump in as warranted. Raji, thanks for the question. I think the best way to think about it is that there's a broad market opportunity that, you know, you could size up AI. One way we look at it is there's kind of those large companies that will deploy the technologies and systems and not really need or want initial outside services and capabilities that we like to provide. As I've mentioned before, and you can see from, you know, a comparison on where our gross margins are relative to our competitors, we're just not gonna play that game. That's just not a good game for us to be in. That's not what we're good at. I like to think of us as a subset of the AI market, where we're really playing the role of not just the system designer and developer, but the service and trusted advisor, consulting type model, that we're full service, end-to-end. That's a small subset, a smaller subset of the bigger pie, because there are large companies that are looking to deploy with their in-house capabilities, and that's something that, you know, quite frankly, some of our customers will eventually, you know, look for us to do more, or they'll build their own capabilities, and we have to kind of continue to bring on new customers that way. That's the dynamic nature of the business. There's so much activity that way, that we're excited about our go-forward business. We're not the whole AI market, and I want to be transparent. We're gonna be disciplined, because at the end of the day, I just don't want to take us to a hardware-only business. That's not gonna be one we're gonna be very profitable, nor are we gonna be as competitive as we are in the core trusted advisor model. Got it. I think that's really helpful to try to understand the distinctions between, you know, your model versus, say, others. Just with respect to the competitive advantage, and again, you mentioned your focus being on more kind of smaller, customized solutions. You know, where do you think kind of Penguin Computing's, you know, ultimate competitive advantage is, you know, relative to the other competitors? Can you talk about, you know, who are you competing with, you know, head-to-head? Is that changing at all, given kind of the deployment of AI inside companies? Are you seeing the competitive landscape change? Any thoughts in terms of kind of Penguin Computing's competitive advantage, and why are you winning? If you do lose, you know, what are the reasons why you might lose? Thank you. Yeah, let me do my best with that, then if I don't get to everything, just kind of re-ask what I missed. Here's how we look at it internally. If I kind of broke down the pyramid of engagements that we have, then we're talking the type of customers we have, you know, the top tier are the major enterprises looking to deploy AI, the middle tier, you know, might be, again, significantly large enterprises, but not necessarily with the spend at the level of a tier one project. It might be considered like a middle tier project. Of course, there's kind of, I would say, you know, early stage technology deployment, but really more for test of applications and really kind of getting their feet wet. If you think of 3 different tiers, we look at each of the opportunities and how we play in them. I think the differentiation. You asked about competitors. The primary competitors we see out there are Dell, HP, Supermicro, and each one of those is a large-scale hardware player with margins substantially lower than us in the business today. Now, I'm not here to try to, you know, argue whose model per se is better. It's just what we're good at and what we're focused on. Of course, the 3 companies I mentioned are not the only companies, but they are the examples of what we compete against. If, if someone's trying to roll their own internal AI deployments and it's a hardware-only game, well, those folks, that's the line of business, that's the margin structure they're set up to win on. For us, what we're good at, and it comes with 25 years of history of deploying these type of systems, and, you know, like, we're not talking about one server and a generic software application. We have one of the earliest deployments of liquid immersion technology for a big customer of ours that's in our lab. Our differentiation is we're out in front of the technology. We're learning about it, so we can bring it to market, and we can design it for an environment, that we've seen before, because, you know, over 25 years, there's a lot of organization know-how. Whether it be on the design side, the actual deployment side, when you think of data centers and the complexity of connecting, you know, massive amount of compute power with the memory, with the storage, with the networking, and making sure the right power infrastructure is in place, this is not easy. It's probably just understated. 25 years of history of this type of experience, and as Ken mentioned, and I mentioned in my script, we've had some of the largest AI deployments in the world to date. When you combine all that, our value add, yes, we know how to manufacture these products and systems, sure. Our value add is how to design them for a customer environment, how to deploy it, and how to manage it. Well, appreciate that for that insight. Just last question, Ken, just on the, on the model. You, you mentioned that the IPS business ex Stratus grew 31%. If I just kinda do the basic math, it looks like Stratus might have been around like $45 million a quarter. Is that kind of the run rate that you guys are thinking about, $45 million a quarter? You know, how would you describe some of the growth drivers in the, in the Stratus business? Yeah. I mean, that business has been... Just to put it in perspective, last quarter, it did closer to $41. This quarter, you are right, it's closer to that $45-$46 range. It does move around a little bit quarter to quarter, to some extent based on some of these hardware deployments relative to Stratus specifically as well. But if we look at it, where has that business been growing? It's been growing primarily at the edge, where, you know, they have a leading solution for high availability, fault-tolerant applications. What does that mean, and why is that important? If you are trying to run an application and it can't go down for more than 5 minutes a year, you go to Stratus. Those types of applications can be in the oil refining area, oil and gas, it can be in retail, it can be on oil rigs, it can be water treatment plants. Areas where you require a business-critical compute system to run those applications is why customers go to Stratus, and that's where that business has been growing over the last 12 months. To follow on, I'd just like to add one more comment, Rajiv, if it's okay. We've said all along that, you know, sure, AI and the HPC environment on-premise is where a lot of the early movement's going to be, but over the long term, we believe, you know, AI will be more broadly deployed throughout the enterprise and certainly at the edge. What Ken just described is going to give us an opportunity to extend the AI and the enterprise customer relationships we have. Hi, thanks for taking my question. Mark, for the IPS business, you described it as lumpy. Can you describe, you know, the process that you know, expect to undertake that kind of transitions that to, you know, a less lumpy business? I'm wondering, is it that, you know, each time you do a project that it ends up being a kind of a recurring service or management stream, you know, over multi-year period, and then these just kind of stack up on top of one another for each project that you do? Yeah. Then, and is that it, or is it like... Yeah. Mark, ... you become the in-house? Yeah. Yeah, go ahead. Sorry. Thank you very much for that question. Happy to talk. It's a great question. Yeah. It really reinforces, you know, the differentiation I think we are achieving with our capabilities, and the by-product of that should help us on some of the lumpiness over the long term. As you said, because of our strategy, our aspiration is to build out these services over time that become more and more, kind of, recurring and predictable. Remember, we're early on. We're two years into this, guys. I mean, if you look at, you know, the services have grown dramatically, and we're excited about that. Our focus is on if we select the right engagements with our customers, we will be continuing to build that over time. Right now, you know, given that we have been growing so substantially, yes, services are up, but we're only going to be able to do that with continued execution. That's why when I had been asked earlier on this call, how we differentiate ourselves. Well, because of our capabilities and our skill sets, we're going to tend to select customers that value that, as opposed to, you know, hardware-only transactions that don't give us that stability, they tend to be one-offs. It's going to take us time to build that, guys. I mean, if you think about, where we've come from, I mean, you know, with the divestiture of SMART Brazil, we've got a business that is now a compute story, with gross margin percentages dramatically up, operating income performance pretty stellar through a hard, difficult cycle. I mean, the memory business this is about as bad as it's been in 15 years in the memory business, generating cash and investing in this new transformation. We're long-term company builders, guys. We're not trying to one-off people on a quarter-by-quarter basis. We are excited about this opportunity. The Specialty Memory business really plays well into this enterprise solutions for AI, machine learning, and data analytics, because the biggest bottleneck right now in HPC AI is the memory connectivity, and I think SMART Modular is a leader.... If you put this all together, we have a pretty bright future. It might not be perfect every quarter because of the lumpiness, but as we design and get our customer relationships more aligned to a full engagement model with solutions and services over the long term, I think we can work out some of the lumpiness and concentration issues that we've had in the past. Gotcha. Appreciate you're only a couple of years into this. I mean, yeah, are, do you have, like, this starting base of services and management, and, would you care to break it out? I think Ken's talked about it, and I'll let him clarify it in terms of the percentage of our top line revenue. Now, remember this, I think this, I better not go, but services are up a multiple, a big multiple, four to five times since we started here three years ago. I think even if you looked over the last nine months or so, I think services are up about through year-to-date, so the first nine months versus the first nine months last year, are up about 60% year-over-year. Now, within that, there are point-in-time services and, like, logistics and design and implementation, and then there are the ongoing services that we've been growing over time as well. Gotcha. Thank you. Very helpful. Mark, one more comment as you were, you know, you asked the question. I think, you know, I think for us, and this is, where I'm, you know, I'm super committed in working with the team, is the discipline's gonna be stay away from the hardware bidding one-offs. Do what you're doing, stick to your knitting and do what you're good at. We can certainly design great systems. We've proven that, but the question is, you know, does the customer value the overall offering? That's gonna be something we continue to focus on, as we continue to expand and invest in IPS. Gotcha. Thank you. Thank you. Hi. Great, thank you. good afternoon, nice job, and thanks for letting us ask a few questions. maybe to backtrack to Brazil, I guess, any consideration to reporting Brazil in discontinued ops? I guess more importantly, I'm also a little surprised by the limited EPS impact when you strip out Brazil. Basically, Brazil was operating at a slight loss, and Specialty Memory Op margins seemed to be in the low to mid-teens. Also thinking across the cycle, what were the Op margins in Brazil when the business was operating at peak revenue run rates, maybe going back 4 to 5 quarters ago? Yeah. I think if you, if you look at the Brazil business and where it is today, you know, we tried to outline, you know, the first three quarters, Brian Chin, and also where the current run rate was as of Q3, which was in that $39 million range in terms of the revenues. You know, not a surprise in the sense that the margin profile, gross margin profile for that business is lower than where it was, call it, a year ago. This has always been a business that has had the lowest margins or the lower end of the margin profile for SGH, if you looked on a historical basis, and well below the corporate average. Even at peak times, it's been well below the corporate average. Where we've done better in terms of both margin profile on the gross margin side and operating margin profile, is in the specialties segment, where we are targeting enterprise solutions, and a higher value-added solution for our customer base. I don't know if that answers the question, but that's where the business is today. Okay. Yeah, no, fair enough. Maybe kind of to be a bit direct to the point on IPS, I guess broadly speaking, are you starting to rebuild the funnel there in IPS? Rather than asking you about a quarter, I'll just go ahead and ask about the full year. How are you thinking about IPS growth rates in fiscal 2024, based on current visibility? Well, I think. Look, I, we're seeing a lot of activity right now. Brian, it's difficult for all the factors I mentioned at the front end of the call, meaning the timing of, you know, budgets and deployments and how we're working on that. We are long-term bullish. We're not ready to forecast the year at this point, just given the timing of our fiscal year and the budgeting process with our customers. The budgets are kind of being worked on. We've got tremendous activity. There are some supply chain issues, but we're working through that as it relates to how that would impact future deployments. Obviously, the broader macro trends, you know, I'm not sure we're out of the woods on the macroeconomic environment. We're trying to be careful just to not overstate where things are. We're excited about our long term, obviously, and, you know, we'll be kind of giving you more color as we get closer to our customers' budgeting process and, you know, future Q1 and Q2 activity. Yeah. Hey, Brian- That's fair. I didn't realize you asked about. Yeah. You asked about the discontinued ops. Because the deal was announced here in our Q4, we will evaluate that as we head through the end of Q4, whether or not the Brazil business will be available for held as available for sale/discontinued ops, and we'll evaluate that as we exit Q4. Okay. Yeah, that makes sense. Maybe just lastly, to hone in back on the discussion around AI, when you think about the duration of your sales cycle, I guess your sales, design, and implementation cycle, as well as those possible component supply constraints, would something like the middle of next year be reasonable to maybe expect some of this upswing in AI engagement to translate into revenue? I think that's fair as we sit here today, and I'm not trying to overhedge, Brian, but I think that's fair based on what we're seeing in terms of some of the core technology, lead times and manufacturing ramps on some of the newer launches in the industry. I'm sure you follow the industry as well as we do, and there's been some technology announcements and early customer shipping in some areas, and some of the market leaders in GPUs, for example. I would anticipate in the middle of next year, we start to see a little bit more favorable conditions for availability of supply. Got it. All right, that's helpful. Thanks. Well, thank you, all for joining today. We continue to be very positive about the business. If you look back over the last three years, we feel like we're way ahead of where the transformation might have been as we looked at, starting in August of 2020. You know, a lot of good things going on here at the company. We're excited for both ourselves and our Brazil team, on the path that we have for each other, going in different directions, but supporting each other through the process. We like the secular tailwinds we have in AI, machine learning, and data analytics that drive our future. We appreciate you attending today's call. Thank you.