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GSI Technology, Inc. Reports Third Quarter Fiscal 2022 Results

In This Article:

Releasing APU Compiler Stack Allowing Developers to Write High Performance Computing (HPC) Applications in February 2022

SUNNYVALE, Calif., Jan. 27, 2022 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (NASDAQ: GSIT) today reported financial results for its third fiscal quarter ended December 31, 2021.

Summary Financial Results Table (in thousands, except per share amounts)

Three Months Ended

Nine Months Ended

Dec. 31,
2021

Sept. 30,
2021

Dec. 31,
2020

Dec. 31,
2021

Dec. 31,
2020

Net revenues

$

8,065

$

7,797

$

6,763

$

24,653

$

20,043

Gross margin (%)

55.3

%

53.6

%

47.3

%

54.4

%

46.7

%

Operating expenses

$

8,994

$

8,694

$

8,348

$

26,831

$

25,358

Operating loss

$

(4,532

)

$

(4,517

)

$

(5,151

)

$

(13,410

)

$

(15,999

)

Net loss

$

(4,581

)

$

(4,567

)

$

(5,216

)

$

(13,357

)

$

(16,523

)

Net loss per share, diluted

$

(0.19

)

$

(0.19

)

$

(0.22

)

$

(0.55

)

$

(0.70

)

Lee-Lean Shu, Chairman and Chief Executive Officer, commented, “Our third quarter revenue grew 19% year-over-year due to increased orders from our SRAM customer base, including network and telecom, military and defense, as well as automotive, medical and test and measurement sectors. The increase in orders from other customers offset the lower orders from Nokia in the quarter. Gross margin improved by 800 basis points year-over-year, reflecting our ability to manage our near-term supply chain challenges and increased costs. In the third quarter, we continued to advance the documentation for our compiler stack and expand our software libraries and algorithms for various APU applications.

"At the end of calendar 2021, we announced that GSI was among the leaders in the Billion-Scale Approximate Nearest Neighbor Search (ANNS) Challenge held by NeurIPS for their 2021 conference,” continued Shu. “We were gratified to see that our APU technology and software performed on-par with the industry leaders, who have a broader set of resources from which to draw upon than we do. These contests are important tools for raising GSI’s profile, highlighting our capabilities, and increasing awareness of the APU technology. Our first-place win in the MAFAT challenge last year resulted in our introduction to IAI/Elta, who engaged with GSI to develop a SAR image processing acceleration system using the APU and our software.”

Mr. Shu continued, “The GSI team continues to build the sales pipeline and our Proof of Concept (POC) activity for the APU is increasing. In addition to the IAI/Elta SAR imaging project, we are in discussions with several organizations to engage in POCs for a variety of search application use-cases. Examples of on-going or expected engagements include indexing medical images and text, encrypted communications, and natural language processing (NLP). A prime contractor is interested in testing a board for military and defense applications, and we have a government agency considering the APU for object detection and facial recognition. We anticipate that some of these POCs would move to design-wins and then eventually to production.”