GSI Takes One of the Top Spots in the Billion-Scale Approximate Nearest Neighbor Search (ANNS) Challenge
December 22 2021 - 8:30AM
GSI Technology, Inc. (Nasdaq: GSIT), a leading provider of
high-performance memory solutions for the networking,
telecommunications and military markets, and developer of the
Gemini® Associative Processing Unit (APU) for Artificial
Intelligence, today announced that it was among the leaders in the
Billion-Scale Approximate Nearest Neighbor Search (ANNS) Challenge
held at this year’s NeurIPS 2021 Conference.
Approximate Nearest Neighbor Search is a critical real-world
problem facing search, retrieval, and recommendation applications
that are used in many different domains. Despite the broad range of
algorithms and approaches for ANNS, most empirical evaluations of
algorithms have focused on smaller datasets (1 million points).
However, deploying recent algorithmic advances in ANNS techniques
for search, recommendation and ranking at scale requires
technologies that can provide support at a billion, trillion, or
larger scale. Currently, there is limited consensus on which
algorithms are effective at these larger scales.
The Billion-Scale ANNS Challenge was created to provide a
comparative understanding of algorithmic ideas and their
application at scale, promote the development of new techniques for
the problem and demonstrate their value, and introduce a standard
benchmarking approach.
The six databases used for the challenge were two standard
datasets (Deep1B and BigANN), along with two supplied by Microsoft,
one by Facebook, and one by Yandex. There were four categories
ranked in the challenge: Recall, Thru-put, Power, and Cost. GSI
focused on the Recall, or accuracy, category which is the
functionality most important in their target applications.
For the last several years, the state-of-the-art baseline for
large scale ANN has been FAISS (Facebook AI Similarity Search).
Many participants withdrew from the challenge because they could
not improve beyond the baseline. GSI ranked above the FAISS
baseline in all datasets, which is a material accomplishment for a
new entrant into the AI sector. Also, GSI was the only participant
to attempt the Facebook database.
“We are extremely encouraged by our results in the ANNS
Challenge as we proved our technology could perform on par with the
category leaders in AI,” said Lee-Lean Shu, Chairman, and Chief
Executive Officer. “It was an honor to compete against the very
best, and in the end, we ranked among the best in the world. These
results are an important milestone for GSI, and we are confident
that we can deliver further improvement in our algorithm and
hardware performance. We look forward to more challenges in the
future.”
GSI Technology has been developing the APU since 2016. Their
first APU chip, Gemini-I, has begun alpha and beta testing for
various search applications. As a start-up team in the AI sector,
GSI has proven it can stand toe-to-toe with AI market leaders that
have substantial internal and external resources. The Company
anticipates launching its compiler stack in 2022 to optimize
algorithm and software development.
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 and performs massive parallel search directly in the
memory 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.
Forward-Looking Statements
The statements contained in this press release that are not
purely historical are forward-looking statements within the meaning
of Section 21E of the Securities Exchange Act of 1934, as amended,
including statements regarding GSI Technology's expectations,
beliefs, intentions, or strategies regarding the future. All
forward-looking statements included in this press release are based
upon information available to GSI Technology as of the date hereof,
and GSI Technology assumes no obligation to update any such
forward-looking statements. Forward-looking statements involve a
variety of risks and uncertainties, which could cause actual
results to differ materially from those projected. Examples of
risks that could affect our current expectations regarding
partnership arrangements include: those associated with the rapidly
evolving markets for GSI Technology's products and uncertainty
regarding the development of these markets; the challenges of rapid
growth followed by periods of contraction; intensive competition;
and delays or unanticipated costs that may be encountered in the
development of new products based on our in-place associative
computing technology and the establishment of new markets and
customer and partner relationships for the sale of such products.
Many of these risks are currently amplified by and will continue to
be amplified by, or in the future may be amplified by, the COVID-19
global pandemic. Further information regarding these and other
risks relating to GSI Technology's business is contained in the
Company's filings with the Securities and Exchange Commission,
including those factors discussed under the caption "Risk Factors"
in such filings.
Source: GSI Technology, Inc.
GSI Technology, Inc.Douglas M. SchirleChief Financial
Officer408-331-9802
Hayden IRKim RogersManaging
Director385-831-7337Kim@HaydenIR.com
Media Relations Finn Partners for GSI TechnologyRicca
Silverio(415) 348-2724gsi@finnpartners.com
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