Ladies and gentlemen, thank you for standing by. Welcome to GSI Technology's third quarter fiscal 2022 results conference call. At this time, all participants are in a listen-only mode. Later, we will conduct a question and answer session. At that time, we will provide instructions for those interested in entering the queue for the Q&A. Before we begin today's call, the company has requested that I read the following safe harbor statement. The matters discussed in this conference call may include forward-looking statements regarding future events and the future performance of GSI Technology that involve risks and uncertainties that could cause actual results to differ materially from those anticipated. These risks and uncertainties are described in the company's Form 10-K filed with the Securities and Exchange Commission. Additionally, I have also been asked to advise you that this conference call is being recorded today, January 27, 2022, at the request of GSI Technology. Hosting the call today is Lee-Lean Shu, the company's Chairman, President, and Chief Executive Officer. With him are Douglas Schirle, Chief Financial Officer, and Didier Lasserre, Vice President of Sales. I would now like to turn the conference over to Mr. Shu. Please go ahead, sir. Good afternoon, and thank you for joining us to review our fiscal third quarter 2022 financial results. Our third quarter revenue grew year-over-year by 19% due to increased orders from our existing customer base, including networking and telecom, military and defense, as well as automotive, medical, and test and measurement sectors. The increase in orders from other customers offset the lower orders from Nokia in the quarter. Gross margin improved by 800 basis points year-over-year, reflecting our ability to manage our near-term supply chain challenges and increased costs. Our net loss narrowed year-over-year by 12%, and we ended the quarter with $48.1 million dollar cash equivalents, and short-term investments. We continue to prioritize the allocation of our capital on R&D for the APU, which includes the software and API development for Gemini One and the table for Gemini Two. The software development team continue to expand our library of algorithms and API for our target application in search. In February, we plan to release a compiler stack, and Didier will provide an overview of this in his sections. At the end of calendar 2021, we announced that GSI was among the leaders in the Big ANN approximate nearest neighbor search challenge. We were encouraged by this outcome. The results showed that the APU technology and the software performed on par with prominent industry leaders in AI, or with much broader resources than GSI. The contest taught us a lot about what we need to further develop and build and how we can improve our performance. Contests like Big-ANN and the MAFAT challenge are also effective way to raise GSI's profile in our industry and with potential customers. This contest spotlight our team's capabilities and increase awareness of our APU unique value propositions. Last year, our first place win in the MATFAIT challenge resulting in our introduction to IAI/ELTA, who engaged with GSI to develop a SaaS image processing acceleration system using the APU and our software. ELTA is funding the R&D to build a SaaS system based on APU technology. ELTA will grant exclusive perpetual license of the FastSAR algorithm to GSI to allow GSI to sell a SAR system, including the algorithm, to other customers. Assuming that the POC is successful, ELTA will deploy the system in volume. The GSI team continue to build a pipeline of customer engagement and increase our POC activity for the APU. In addition to ELTA's SaaS project, we are in discussions with several organizations to engage in POC for a variety of use cases for search applications we are targeting. Our current POC engagements include indexing medical images and text, encrypted communication, and natural language processing. A prime contractor is interested in testing our APU for military and defense applications, and we have a government agency considering the APU for object detection and facial recognition. We anticipate that a portion of this POC will move to design wins and eventually to production. A few years back, once we had the Gemini One chip available for testing, we made a strategic decision to pursue search instead of the training and inference markets where there were already large, well-funded competitors. The APU performs significantly better in search applications, and we decided to target our resources to develop that market. This has proven to be a good decision, as we are now seeing that search may ultimately be a large end market. We recognize that the APU could work very efficiently with a trained database to rapidly search and deliver results with low latency, low power consumption, and a scalable configuration. Accuracy, a smaller footprint, lowering the total cost of ownership, having space-ready chip, and reducing power consumption are key differentiator for the APU. We remain committed to our strategy and dedicating our capital to deliver the best technology for the rapidly growing search market. Supply chain constraints continue to impact our order fulfillment. While there has been some improvement, the situation remains fluid. We have passed on some of the price increase and have factored in the extended lead time, but we do not expect significant relief from this concern before the end of 2022. We have increased our operational focus on managing the supply chain to fulfill orders that we have in hand for the upcoming quarters. Doug will provide our outlook for the fourth quarter in the prepared comments. This year will be a crucial year to proving out the feasibility of our groundbreaking APU technology. Our next important milestones is the release of the compiler stack in February. This release should accelerate customer adoption of our groundbreaking technology that can both lower enterprise AI capacity and bring that capability to stand-alone servers at the edge. We are in the early stage engaging with customer who recognize the APU potential for their applications. The compiler stack should help us grow our pipeline. It is an exciting time for GSI, and our team is focused to achieving our goals for current customer engagement while continuing to build our pipeline new opportunities. Now I will hand the call over to Didier, who will discuss our business performance further. Please go ahead, Didier. Thank you, Lee-Lean. As Lee-Lean stated, we have new customer engagements in multiple applications ranging from e-commerce to military and defense for various use cases. In our approach to the search market, we are pursuing opportunities that align with the applications we feel the APU is best suited. Right now, our team is seeding the field, and we fully expect that some of this will bear fruit. Our approach to supporting these customer engagements depends on the end user's needs. For some, we loan them a board to demo, others have access to our Sunnyvale data center to run their models, and then some have purchased some boards. Each of these engagements target unique market applications, and the ultimate size of each opportunity may vary. Since many are in the early stages of development, it is challenging to measure. That said, they are all of sufficient size to merit allocating our resources. Today, we are working with universities with unique applications, with broad market opportunities, and we also have prime contractors that could eventually turn into large orders and a government agency evaluating for the APU for border security. There's also an e-commerce company looking at the APU for natural language processing. You can see why we're excited about these engagements as they could potentially develop into customers and growth markets. Our objectives are to make the POCs as successful as possible for each entity, expecting a portion to move to design wins and eventually to production. As part of the GSI developing a strategy for the AI and HPC or high-performance computing acceleration markets, we will soon be releasing an APU's compiler stack. This release will deliver the environment for software and AI developers to write full applications using C for our LiDAR-E and LiDAR- S PCIe boards. The release will include example applications and training materials. Customers that need a specific use case algorithm can edit our large collection of vector library functions and write their own APU fragments in Python using our low-level Belex stack product. Achieving the APU compiler stack milestone should accelerate customer adoption and is one of the most important steps in front of us to move the APU to the next level. As I said earlier, the GSI team has been busy creating APIs for search workloads like image indexing, object recognition, natural language processing, as well as HPC workloads in the enterprise and real-time applications like SAR, ATR, and signal classification at the edge. We have documented that the APU technology can offer enterprise AI capacity in an edge stand-alone server in support of that migration. The APU compiler stack is a powerful tool for researchers and developers that promises to significantly expand the market applications for our non-Von Neumann processor. To help build a pipeline, GSI will introduce a series of training seminars to support the customization of our APIs for specific applications. The APU technology is available in a PCIe board for enterprise and edge server applications, capable of searching tens of millions of vectors per board. The platform is highly scalable, allowing us to connect unlimited boards installed in servers. The hardware capability can also function as a cloud-based software as a service for OpenSearch and Elasticsearch acceleration. Once we launch the compiler stack, we plan to provide more detail in a press release. Let me switch now to the customer and product breakdown for the third quarter. In the third quarter of fiscal 2022, sales to Nokia were $1.9 million or 24% of revenues, compared to $2.8 million or 42% of revenues in the same period a year ago, and $1.9 million or 23.8% of net revenues in the prior quarter. Military defense sales were 27.1% of third quarter shipments, compared to 26.0% of shipments in the comparable period a year ago, and 27.4% of shipments in the prior quarter. SRAM Quad sales were 40.5% of third quarter shipments, compared to 62% in the third quarter of fiscal 2021, and 52.4% in the prior quarter. In closing, as Lee mentioned, we have ongoing challenges with supply chain constraints, with substrate lead times out more than a year. Overall, the impact of increased wafer prices, assembly labor costs, rising substrate prices, and expediting charges has led us to raise prices to all of our customers in December. I'd now like to hand the call over to Doug. Doug, go ahead please. Thank you, Didier. We reported a net loss of $4.6 million or $0.19 per diluted share, on net revenues of $8.1 million for the third quarter of fiscal 2022, compared to a net loss of $5.2 million or $0.22 per diluted share on net revenues of $6.8 million for the third quarter of fiscal 2021, and a net loss of $4.6 million or $0.19 per diluted share on net revenues of $7.8 million for the second quarter of fiscal 2022. Gross margin was 55.3% compared to 47.3% in the prior year period, and 53.6% in the preceding second quarter. The changes in gross margin were primarily due to changes in product mix sold in the three periods. Total operating expenses in the third quarter of fiscal 2022 were $9 million, compared to $8.3 million in the third quarter of fiscal 2021, and $8.7 million in the prior quarter. Research and development expenses were $6.2 million, compared to $5.7 million in the prior year period and $5.9 million in the prior quarter. Selling, general, and administrative expenses were $2.8 million in the quarter ended December 31, 2021, compared to $2.6 million in the prior year quarter and $2.8 million in the previous quarter. Third quarter fiscal 2022 operating loss was $4.5 million, compared to $5.2 million in the prior year period and $4.5 million in the prior quarter. Third quarter fiscal 2022 net loss included net interest and other expense of $15,000 and a tax provision of $64,000, compared to $25,000 in net interest and other income and a tax provision of $90,000 for the same period a year ago. In the preceding second quarter, net loss included net interest and other expense of $8,000 and a tax provision of $42,000. Total third quarter pre-tax stock-based compensation expense was $740,000, compared to $693 in the comparable quarter a year ago, and $716,000 in the prior quarter. At December 31st, 2021, we had $48.1 million in cash equivalents and short-term investments, and $3.4 million in long-term investments, compared to $54 million in cash equivalents and short-term investments, and $5.8 million in long-term investments at March 31st, 2021. With no debt, working capital was $49.9 million as of December 31, 2021, versus $56 million at March 31st, 2021. As of December 31st, 2021, stockholders' equity was $66.8 million, compared to $75.6 million as of the end of fiscal year March 31, 2021. Supply chain constraints have impacted our ability to fill all of our orders. While there has been some improvement, the situation remains fluid, and we do not expect significant relief from these constraints before the end of calendar year 2022. Given these constraints, current expectations for the upcoming fiscal fourth quarter are net revenues in the range of $7.5 million-$8.5 million, with gross margin of approximately 54%-56%. Operator, at this point, we'll open the call to Q&A. Thank you. At this time, we will be conducting a question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the question queue. You may press star two if you would like to remove your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. One moment please while we poll for questions. Our first question comes from the line of Jeff Bernstein with Cowen. You may proceed with your question. Yeah. Hi, guys. In terms of the orders that you have not been able to fulfill, are those gone? Do those go to someone else or is that backlog that's building up? The majority of it is backlog that's built up. I mean, certainly some of them, where we have multiple sources, may have gone. With that said, it's a very small percentage of our business. The majority of it is sitting there and will be fulfilled later. Gotcha. Okay. Could you just give us a quick update on the rad-tolerant efforts? Sure. So the rad-tolerant, we spoke in the past, we've had some shipments out, in fact, on some rad-hard as well. Some of those we are in the prototype stages. We're waiting for them to, you know, do their testing. It takes some amount of time. What we didn't discuss is in this quarter we actually booked another prototype for actually a rad-hard device. We have a rad-hard on the books now that will ship hopefully this quarter. Again, it's for prototyping for a satellite that will go into production in a couple of years. You know, we're starting to still see some prototyping. As we mentioned in the past, the rad-hard still is a bit of a challenge because some of the meetings we still can't have. The rad-tolerant, we're still seeing certainly traction there. Okay. There was the issue of actually getting some of these parts into space before some people would look at using them. Where are we on getting a ride? Right. Exactly. That's called heritage. Once you get heritage, which is proving that your parts work in space, it certainly makes our job with most customers very easy. In fact, we've had several customers that said that they're gonna wait for heritage before they move forward. Some of the parts that we shipped in I wanna say summer of last year, it was late summer, maybe calendar third quarter. Those were gonna be our first parts that could get into space. Those are being put on, you know. The satellite's being assembled now, we're hoping it's launched sometime this year, and we certainly don't have control of when that happens. You know, we're following up with that customer often, and right now it's sometime in calendar 2022 that will be in space. If you recall, that was a demo system for a possible constellation in the future, but that would give us our first heritage, and we're hoping that's this year. Great. Thanks. As a reminder, if you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the question queue. Okay, at this time, I'm not seeing any more questions. I'd like to pass it back over to Mr. Shu for closing remarks. Thank you all for joining us. We look forward to speaking with you again when we report our fourth quarter and full year fiscal 2022 results. Thank you. This concludes today's conference. You may disconnect your lines at this time. Thank you for your participation, and have a great day.