GSI Technology Announces Second Quarter of Fiscal Year 2023

Sunnyvale, Calif., October 12, 2022 (GLOBE NEWSWIRE) – GSI Technologies, Inc. (NASDAQ: GSIT), developer of Gemini ® associative processing units (APUs) for artificial intelligence and high-performance parallel computing (HPPC) and a leading provider of high-performance memory solutions for the networking, telecom and military markets, will report its second-quarter financial results Results for fiscal year 2023 ending September 30, 2022 after market close on Thursday, October 27, 2022. Management will also host a conference call at 1:30 PM PT (4:30 PM ET) on the same day to review the company’s second quarter financial results and its current outlook for the third quarter of fiscal 2023.

To join the conference call, please call 1-877-407-3982 in the US or 1-201-493-6780 internationally approximately 10 minutes before the above start time and provide the conference ID 1373700. The conference call will also be broadcast live via the Internet at

Replays from October 27, 2022, 7:30pm ET to November 3, 2022, 11:59pm ET, call US toll free at 1-844-512-2921 or international at 1-412-317 – 6671 and enter the password 13733700. A webcast of the conference call will be archived on the Company’s Investor Relations website under the Events and Presentations tab.

About gsi technology

GSI Technology, Inc. was established in 1995. is a leading supplier of semiconductor memory solutions. The company recently introduced radiation-hardened memory products for extreme environments in space and the Gemini ® Associative Processing Unit (APU), a memory-centric design that provides significant performance benefits for a variety of artificial intelligence applications. The Gemini apu architecture removes the I/O bottleneck between the processor and the memory array by performing massively parallel searches directly in the memory array where the data is stored. Compared with CPU, GPU, and DRAM, the novel architecture provides performance-to-power ratio improvements for applications such as image detection, speech recognition, and e-commerce recommendation systems. Gemini is an ideal solution for edge applications with scalable format, small size and low power consumption where fast, accurate response is critical. For more information, visit


Investor Relations:
Kim Rogers

Media Relations:
Finn Partner of GSI Technology
Rica Silverio

GSI Technologies
Douglas M. Schiller

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