GSI Technology to Participate in the iAccess Alpha Tax Loss Recovery Summit 2024 - Buyside Best Ideas Virtual Conference on January 9 and 10, 2024

SUNNYVALE, Calif., Dec. 19, 2023 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), developer of the Gemini® Associative Processing Unit (APU) for AI and high-performance parallel computing (HPPC) and a leading provider of high-performance memory solutions for the networking, telecommunications, and military markets, today announced that management is participating in the iAccess Alpha Tax Loss Recovery Summit Virtual Conference on January 9 and 10, 2024. On behalf of the company Didier Lasserre, Vice President of Sales and Investor Relations, will deliver a company presentation at 1:30 p.m. Eastern time on January 9 and host one-on-one meetings the following day, January 10.

iAccess Alpha hosts virtual investor conferences, where presenting companies are recommended by a network of investors known for generating alpha. The conference format spans two days, with company webcast presentations on day one, followed by one-on-one meetings with company management teams on day two. To learn more about the iAccess Alpha Tax Loss Recovery Summit – Buyside Best Ideas Virtual Conference or to register and schedule a one-on-one meeting with GSI Technology, please visit the conference website

A webcast of GSI Technology’s presentation will be available on the company’s website under the Events and Presentations tab:


Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. The Company recently launched radiation-hardened memory products for extreme environments in space and the Gemini® Associative Processing Unit (APU). This memory-centric design delivers significant performance advantages for diverse AI applications. The Gemini APU architecture removes the I/O bottleneck between the processors and memory arrays by performing massive parallel searches directly in the memory array where data is stored. The novel architecture delivers performance-over-power ratio improvements compared to CPU, GPU, and DRAM for applications like image detection, speech recognition, e-commerce recommendation systems, and more. Gemini is an ideal solution for edge applications with a scalable format, small footprint, and low power consumption where rapid, accurate responses are critical. For more information, please visit


Investor Relations
Hayden IR
Kim Rogers

Media Relations
Finn Partners for GSI Technology
Ricca Silverio
(415) 348-2724

GSI Technology, Inc.
Douglas M. Schirle
Chief Financial Officer