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GSI Technology : Annual Report for Fiscal Year Ending 03-31, 2026 (Form 10-K)

GSI Technology : Annual Report for Fiscal Year Ending 03-31, 2026 (Form

articleGsi Technology, Inc.June 5, 20263/news/gsi-technology-annual-report-for-fiscal-year-ending-03-31-2026-form-10-k
GSI Technology : Annual Report for Fiscal Year Ending 03-31, 2026 (Form 10-K)

About this update from Gsi Technology, Inc.

Management's Discussion and Analysis of Financial Condition and Results of Operations The following discussion contains forward-looking statements that involve risks and uncertainties. Our actual results could differ substantially from those anticipated in these forward-looking statements as a result of many factors, including those set forth under "Forward Looking Statements", "Risk Factors" and elsewhere in this report. The following discussion should be read together with our consolidated financial statements and the related notes included elsewhere in this report. This discussion and analysis generally covers our financial condition and results of operations for the fiscal year ended March 31, 2026, including year-over-year comparisons versus the fiscal year ended March 31, 2025. OurAnnual Report on Form 10-K for the fiscal year ended March 31, 2025 includes year-over-year comparisons versus the fiscal year ended March 31, 2024 in Item 7 of Part II, "Management's Discussion and Analysis of Financial Condition and Results of Operations." ​ Overview 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 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 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 military/defense and aerospace markets. We are subject to the highly cyclical nature of the semiconductor industry, which has experienced significant fluctuations, often in connection with fluctuations in demand for the products in which semiconductor devices are used. Our revenues have bee...

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