Company: GSIT
Filing Date: 2025-10-21
Form Type: 424B5
Source: 0001104659-25-101303
Chunk: 29

Company: GSI TECHNOLOGY INC
Filing Date: 2025-10-21
Form: 424B5
Chunk 29
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 to the actual documents. You may read the registration statement and the other reports we file with the SEC, and you may obtain copies of the actual documents summarized herein (if and when filed with the SEC), at the SEC’s website or at its offices described in the section of this prospectus titled “ Where You Can Find More Information .”

The representations, warranties and covenants made by us in any agreement that is filed as an exhibit to any document that is incorporated by reference into this prospectus were made solely for the benefit of the parties to such agreement, including, in some cases, for the purpose of allocating risk among the parties to such agreements, and should not be deemed to be a representation, warranty or covenant to you. Moreover, such representations, warranties or covenants were accurate only as of the date when made. Accordingly, such representations, warranties and covenants should not be relied on as accurately representing the current state of our affairs.

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TABLE OF CONTENTS

### SUMMARY
This summary highlights information contained elsewhere in this prospectus. Before making an investment decision, please carefully read this entire prospectus and the documents incorporated by reference into this prospectus, especially the “Risk Factors” section of this prospectus and our financial statements and the related notes incorporated by reference into this prospectus. In this prospectus, unless the context otherwise requires, the terms “GSI,” “we,” “us” or “our” refer to GSI Technology, Inc.

### Overview
GSI provides in-place associative computing solutions for applications in high growth markets such as artificial intelligence (“AI”) and high-performance computing, including natural language processing and computer vision. Our associative processing unit (“APU”) products are focused on applications using similarity search. Similarity search is used in visual search queries for ecommerce, computer vision, drug discovery, cyber security and service markets such as NoSQL, Elasticsearch, and OpenSearch. Our extensive historical experience in developing high speed synchronous static random access memory (“SRAM”), facilitated our ability to transform the focus of our business to the development of reliable hardware AI products and solutions like the APU.

Even as we expand our offering of in-place associative computing solutions, we continue to be committed to the synchronous SRAM market, by making available exceedingly high density performance memory products for incorporation into high-performance networking and telecommunications equipment, such as routers, switches, wide area network infrastructure equipment, wireless base stations and network access equipment. Our position in the synchronous SRAM market is well established