149 0 Kommentare GSI Technology to Announce Fiscal Second Quarter 2024 Results on October 26, 2023

SUNNYVALE, Calif., Oct. 16, 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 networking, telecommunications and military markets, will announce financial results for its fiscal second quarter 2024 ended September 30, 2023 after the market close on Thursday, October 26, 2023. Management will also conduct a conference call to review the Company's second quarter financial results and its current outlook for the third quarter of fiscal 2024 at 1:30 p.m. Pacific time (4:30 p.m. Eastern Time) on that same day.

To participate in the call, please dial 1-877-407-3982 in the U.S. or 1-201-493-6780 for international approximately 10 minutes prior to the above start time and provide Conference ID 13742035. The call will also be streamed live via the internet at www.gsitechnology.com.

A replay will be available from October 26, 2023 at 7:30 p.m. Eastern Time through November 2, 2023 at 11:59 p.m. Eastern Time by dialing toll free for the U.S. 1-844-512-2921 or international 1-412-317-6671 and entering pin number 13742035. A webcast of the call will be archived on the Company’s investor relations website under the Events and Presentations tab.

ABOUT GSI TECHNOLOGY

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), a memory-centric design that 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 search 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 www.gsitechnology.com.

Contacts:

Investor Relations:
Hayden IR
Kim Rogers
385-831-7337
kim@haydenir.com