Associated tags: DRAM, Architecture, GPU, Gemini, APU, CPU, AI, Conference, GSI, Internet, Video game, Telecommunications, Telecommunication, Research
Locations: NEW YORK CITY, NEEDHAM, SUNNYVALE, CA, US, SAR
Sale,
HPC,
Radiation,
HBM,
Gemini,
Associative property,
BNN,
Silicon,
ESA,
Apus,
BITNET,
Synthetic-aperture radar,
Software as a service,
Artificial intelligence,
Library,
Car,
FVS,
APU,
App Store (iOS/iPadOS),
European Space Agency,
Government,
Facial recognition,
Benchmarking,
2U,
Movement,
Paper,
GPU,
Memory,
Graphics processing unit,
GSI,
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Algorithm,
Architecture,
Needham & Company,
Video game SUNNYVALE, Calif., May 09, 2024 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in AI and HPC processing providing true compute-in-memory technology, today reiterated the key highlights from its recent earnings call for the fourth quarter of fiscal year 2024 held on Thursday, May 2, 2024.
Key Points:
- This is the first Rad Hard shipment for a non-U.S.-based mission, giving GSI exposure within the ESA community.
- Announced initiating a broad strategic review to maximize stockholder value and retained Needham & Company, LLC as the strategic and financial advisor.
- GSI’s software team is actively writing libraries to develop new applications on the edge or near the edge for Gemini-II.
- “Engaging Needham & Company underscores our proactive approach to fortifying our market position and financial health and maximizing stockholder value,” said Lee-Lean Shu, CEO of GSI Technology.
Sale,
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APU,
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Nokia,
Memory,
Architecture,
Needham & Company,
Video game Gross margin was 51.6% in the fourth quarter of fiscal 2024 compared to 55.9% in both the prior-year period and the preceding third quarter.
Key Points:
- Gross margin was 51.6% in the fourth quarter of fiscal 2024 compared to 55.9% in both the prior-year period and the preceding third quarter.
- SigmaQuad sales were 42.4% of fourth quarter shipments compared to 46.3% in the fourth quarter of fiscal 2023 and 46.9% in the prior quarter.
- Total operating expenses in the fourth quarter of fiscal 2024 were $7.2 million, compared to $6.9 million in the fourth quarter of fiscal 2023 and $9.7 million in the prior quarter.
- GSI Technology will review its financial results for the quarter and fiscal year ended March 31, 2024, and discuss its current business outlook during a conference call at 1:30 p.m. Pacific (4:30 p.m. Eastern) today, May 2, 2024.
SUNNYVALE, Calif., April 18, 2024 (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 fourth quarter and year end 2024 ended March 31, 2024 after the market close on Thursday, May 2, 2024.
Key Points:
- SUNNYVALE, Calif., April 18, 2024 (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 fourth quarter and year end 2024 ended March 31, 2024 after the market close on Thursday, May 2, 2024.
- Management will also conduct a conference call to review the Company's fourth quarter and year end financial results and its current outlook for the first quarter of fiscal 2025 at 1:30 p.m. Pacific time (4:30 p.m. Eastern Time) on that same day.
- To participate in the call, please dial 1-800-717-1738 in the U.S. or 1-646-307-1865 for international approximately 10 minutes prior to the above start time and provide Conference ID 1133885.
- A webcast of the call will be archived on the Company’s investor relations website under the Events and Presentations tab.
GSI,
Database,
APU,
NAU,
Drug discovery,
Application layer,
HPC,
DNA,
Artificial intelligence,
Cornell University,
Northern Arizona University,
University of Arizona,
Associative property,
Gemini,
A100,
Facial recognition,
Video game SUNNYVALE, Calif., April 02, 2024 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial intelligence (AI) and high-performance compute (HPC) processing providing true compute-in-memory technology, today announced the release in production of two high capacity, low power server products.
Key Points:
- SUNNYVALE, Calif., April 02, 2024 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial intelligence (AI) and high-performance compute (HPC) processing providing true compute-in-memory technology, today announced the release in production of two high capacity, low power server products.
- The Leda-E and Leda-S boards incorporate the Gemini-I® APU, capable of 1.2 POPs at 80W and 800 TOPs at 40W, respectively.
- GSI's true compute-in-memory technology has proven differentiated capabilities in large (billion item) database search and high-performance compute applications, such as facial recognition, drug discovery, Opensearch, and object detection and re-identification.
- Server systems based on GSI’s production Gemini-I APU chip come pre-bundled with an application development compiler and can be further customized with Real-Time Fast Back Projection software or Fast Vector Search support.
Retrieved on:
Thursday, January 25, 2024
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Nokia,
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Investment,
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Memory,
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Internet,
CPU,
APU,
Research,
Video game Commenting on the third quarter results and fourth quarter of fiscal 2024 outlook, Mr. Shu stated, “Third quarter revenue was at the low end of our guidance, and gross margin was at the mid-point of our guidance.
Key Points:
- Commenting on the third quarter results and fourth quarter of fiscal 2024 outlook, Mr. Shu stated, “Third quarter revenue was at the low end of our guidance, and gross margin was at the mid-point of our guidance.
- SigmaQuad sales were 46.9% of third quarter shipments compared to 45.2% in the third quarter of fiscal 2023 and 55.8% in the prior quarter.
- Total operating expenses in the third quarter of fiscal 2024 were $9.7 million, compared to $8.5 million in the third quarter of fiscal 2023 and $7.2 million in the prior quarter.
- GSI Technology will announce financial results for its third fiscal quarter ended December 31, 2023 after the market close on Thursday, January 25, 2024.
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Thursday, January 11, 2024
SUNNYVALE, Calif., Jan. 11, 2024 (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 third quarter 2024 ended December 31, 2023 after the market close on Thursday, January 25, 2024.
Key Points:
- SUNNYVALE, Calif., Jan. 11, 2024 (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 third quarter 2024 ended December 31, 2023 after the market close on Thursday, January 25, 2024.
- Management will also conduct a conference call to review the Company's third quarter financial results and its current outlook for the fourth 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 13743563.
- A webcast of the call will be archived on the Company’s investor relations website under the Events and Presentations tab.
Retrieved on:
Wednesday, January 3, 2024
Transfer,
STTR,
Policy,
Small business,
Small Business Innovation Research,
SBIR,
Telecommunications,
AFRL,
Air force,
USSF,
Air Force Research Laboratory,
AFWERX,
AI,
The,
SSIM,
GSI,
DAF,
Algorithm,
APU,
Computer data storage GSI will create specialized algorithms for the U.S. Air Force Research Laboratory (AFRL) to leverage the compute-in-memory architecture of the Gemini® APU.
Key Points:
- GSI will create specialized algorithms for the U.S. Air Force Research Laboratory (AFRL) to leverage the compute-in-memory architecture of the Gemini® APU.
- GSI will also develop algorithms using data from the United States Space Force (USSF) to showcase the performance benefits of its compute-in-memory APU2 integrated circuit (IC).
- These capabilities support the Air Force in swiftly identifying and responding to threats, bolstering national security and technological superiority."
- Now, GSI Technology will start its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.
Retrieved on:
Tuesday, December 19, 2023
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.
Key Points:
- 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.
- 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 https://www.iaccessalpha.com/home .
- A webcast of GSI Technology’s presentation will be available on the company’s website under the Events and Presentations tab: https://ir.gsitechnology.com/events-and-presentations .
The conference will be held on January 17 and 18 at the Lotte New York Palace in New York City and can be accessed virtually on Tuesday, January 16, and Friday, January 19.
Key Points:
- The conference will be held on January 17 and 18 at the Lotte New York Palace in New York City and can be accessed virtually on Tuesday, January 16, and Friday, January 19.
- For more information about the conference or to schedule a one-on-one meeting with GSI Technology, please contact your Needham representative.
- Please note that Needham reserves the right to adjust a company’s meeting schedule, including its presentation time.
- A webcast of GSI Technology’s presentation will be available on the company’s website under the Events and Presentations tab: https://ir.gsitechnology.com/events-and-presentations .
Retrieved on:
Wednesday, November 29, 2023
Gemini,
Massachusetts Institute of Technology,
Architecture,
Partnership,
University,
Telecommunications,
Research,
Brigham Young University,
UC,
Professor,
Data mining,
University of California, Riverside,
AI,
HPC,
University of Pittsburgh,
Machine learning,
University of Southern California,
GSI,
Memory,
APU,
Cryptocurrency The Gemini APU’s compute-in-memory design offers an optimal remedy for the “AI bottleneck” dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications.
Key Points:
- The Gemini APU’s compute-in-memory design offers an optimal remedy for the “AI bottleneck” dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications.
- The architecture inherently boasts substantial memory bandwidth making it ideally poised to elevate performance and memory capacity for AI and High Performance Computing.
- In Professor Sadredini, GSI Technology now has yet another amazing researcher at a top-tier university who is doing important work with the Gemini APU.
- “I’m extremely excited to collaborate with GSI Technology as we work to bridge the gap between theoretical and practical application and innovations,” said Sadredini.
