GSI Technology, Inc. (NASDAQ:GSIT) Q4 2024 Earnings Call Transcript - InvestingChannel

GSI Technology, Inc. (NASDAQ:GSIT) Q4 2024 Earnings Call Transcript

GSI Technology, Inc. (NASDAQ:GSIT) Q4 2024 Earnings Call Transcript May 3, 2024

GSI Technology, Inc.  isn’t one of the 30 most popular stocks among hedge funds at the end of the third quarter (see the details here).

Operator: Ladies and gentlemen, thank you for standing by, and welcome to the GSI Technology’s Fourth Quarter Fiscal 2024 Financial Results Conference Call. At this time, all participants are in a listen-only mode. Later, we will conduct a question-and-answer session and 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 been advised to advise you that this conference call is being recorded today May 2, 2024 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 like to turn the conference over to Mr. Shu. Please go ahead, sir.

A technician focused on a complex semiconductor chip in their lab.

Lee-Lean Shu: Good afternoon, and thank you for joining us today. Let’s start with some highlights from our first quarter activities. During the quarter and subsequently, we achieved significant milestones across our key initiatives. First, we launched two high-capacity low-power 1U and 2U servers, integrated with the powerful Gemini-I APU designs specifically for specifically for SAR and Fast Vector Search applications. These servers can enable mobile applications, such as print and the satellite and will offer enterprise-level processing at the edge. In addition, we now have a benchmark on pay in assessing the doubles for SAR providing crucial tools for our follow-up efforts with SAR customers, SAR targets over the past year.

We are finalizing marketing materials and plan to begin sales promotion to target the customers by the end of second quarter, second calendar year – to year quarter. Second, we made considerable progress which shifts from the first spring of Gemini-II presently undergoing rigorous testing and debugging. The result showcased during the testing was significant for the integration of the chip onto evolve. Even the chip mounted on a board, has enabled comprehensive performance assessments, the chip can perform the basic functions in the processing that it is able to move data between the processing array and the AO1 and AO2 local memories. This phased like that. The insertion can be successfully executed to the embedding processor and that the database is also working.

So far we are pleased with the chips result, which has been better than we anticipated. We end to conclude the phase by the end of calendar Q2 and then pause closely with second spin. We anticipate receiving the next chip before a initiated benchmarking shortly after. This could allow us to begin preliminary customer sampling with the expectation of starting our testing with targeted customers before year end along with further software development and the writing over diversity. Due to the huge model size requirements introduced by large language models, there are many efforts in the AI industry to reduce model size, low the body, panel you know they will end a bit less. Those algorithms reduce the model waste to 1 bit or 1.58 bit. Instead of assessing bit, an 8 bit in the present models, the reduced waste size reduce the memory storage requirements and simplify the competition.

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