Company: GSIT
Filing Date: 2025-08-08
Form Type: 10-Q
Source: 0001558370-25-010923
Chunk: 5

Company: GSI TECHNOLOGY INC
Filing Date: 2025-08-08
Form: 10-Q
Item: Part I, Item 2
Chunk 5
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Item 2.Management’s Discussion and Analysis of Financial Condition and Results of Operations

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This Quarterly Report on Form 10-Q, and in particular the following Management’s Discussion and Analysis of Financial Condition and Results of Operations, includes “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended (the “Exchange Act”).  These forward-looking statements involve risks and uncertainties.  Forward-looking statements are identified by words such as “anticipates,” “believes,” “expects,” “intends,” “may,” “will,” and other similar expressions.  In addition, any statements which refer to expectations, projections, or other characterizations of future events or circumstances are forward-looking statements.  Actual results could differ materially from those projected in the forward-looking statements as a result of a number of factors, including those set forth in this report under “Risk Factors,” those described elsewhere in this report, and those described in our other reports filed with the Securities and Exchange Commission (“SEC”).  We caution you not to place undue reliance on these forward-looking statements, which speak only as of the date of this report, and we undertake no obligation to update these forward-looking statements after the filing of this report. You are urged to review carefully and consider our various disclosures in this report and in our other reports publicly disclosed or filed with the SEC that attempt to advise you of the risks and factors that may affect our business.

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Overview 

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We are a provider of high-performance semiconductor memory solutions for in-place associative computing applications in high growth markets such as artificial intelligence and high-performance computing, including natural language processing and computer vision. Our initial associative processing unit (“APU”) products are focused on applications using similarity search, but have not resulted in material revenues to date. Similarity search is used in visual search queries for ecommerce, computer vision, drug discovery, cybersecurity and service markets such as NoSQL, Elasticsearch, and OpenSearch. We have solutions to accelerate multimodal vector search as an on-prem or SaaS solution for OpenSearch and general Fast Vector Search, and for processing large area SAR images in real-time at high resolution. Our revenue is currently generated from the design, development and marketing of static random access memories, or SRAMs, that operate at speeds of less than 10 nanoseconds, which we refer to as Very Fast SRAMs, primarily for the networking and telecommunications, test equipment and the