GSI AI Technology Helps Companies Realize Substantial Power Efficiencies, Improving Sustainability Efforts
February 09 2022 - 5:30AM
GSI Technology, Inc. (NASDAQ: GSIT), the developer of the
Gemini® Associative Processing Unit (APU) for Artificial
Intelligence (AI) and high-performance parallel computing and
provider of high-performance memory solutions for the networking,
telecommunications and military markets, today announced that its
new APU processor delivers a proven solution for significantly
reducing power consumption when running AI search applications in
data centers while enabling customers to improve their
environmental and sustainability efforts.
Power consumption is a serious problem today in the
data center. According to a recent study, today’s data centers
consume an estimated 198-terawatt hours or 1 percent of global
electricity use. The amount of energy used by data centers doubles
approximately every four years, meaning that data centers have the
fastest-growing carbon footprint within the IT sector.
The concentration of compute technologies in enterprise data
centers has allowed increasing energy consumption to be hidden
behind closed doors. However, there is tremendous user cost, energy
consumption, and environmental impact due to the inefficiency of
these decades-old compute-centric and I/O-bound architectures—even
as they are updated to the newest process technologies. It is
becoming clear that simply packing more capacity and more cores, or
just increasing density, is not helping when CPUs, FPGAs, and GPUs
continue to use traditional compute methodologies.
This problem will likely increase as workloads become more
data-intensive and AI-centric. New hardware and chipsets
specifically designed for power efficiency must continue to be a
major component of the design of future AI-centric data centers.
GSI is helping to solve this critical problem with its new
technology that brings enormous power savings. Datacenters using
GSI’s APU processors can achieve radical power savings with
APU-based systems that require a much smaller energy footprint.
“From the migration of compute to the cloud to the increased
need for on-prem business hardware, the race is on to acquire
energy-efficient hardware and lower the power bill,” said Lee-Lean
Shu, chairman and CEO, GSI Technology. “Solving this problem is one
of the strategic opportunities for our technology. Our new APU
processor offers significant advantages in power consumption,
enabling enterprise customers to reach their sustainability goals
and do good for the planet. GSI has shown in a comparison for a
large area SAR image in one second at high resolution that the
Gemini-I APU used on average 93% less power than CPU or GPU
systems, in a portable solution versus requiring a room of server
cabinets.”
About GSI Technology
GSI Technology, Inc. is a leading provider of semiconductor
memory solutions. The Company recently launched 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 include: those
associated with the rapidly evolving markets for GSI Technology's
products and uncertainty regarding the development of these
markets; growth rate of energy usage by datacenters; changes in
energy costs; 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 adoption 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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