The secret of Data Center Accelerator Market In One Place - Check It Now

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Data Center Accelerator Market by Processor Type
(CPU, GPU, FPGA, ASIC), Type (HPC Accelerator,
Cloud Accelerator), Application (Deep Learning
Training, Public Cloud Interface, Enterprise
Interface), and Geography - Global Forecast to
2023
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According to the recent research report "Data
Center Accelerator Market by Processor Type (CPU,
GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud
Accelerator), Application (Deep Learning
Training, Public Cloud Interface, Enterprise
Interface), and Geography - Global Forecast to
2023 The data center accelerator market is
expected to be valued at USD 2.84 billion by 2018
and is expected to reach USD 21.19 billion by
2023, at a CAGR of 49.47 from 2018 to 2023.
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The shifting focus toward parallel computing in
AI data centers and growth of cloud-based
services are among the factors driving the growth
of the data center accelerator market. A growing
number of tech giants and start-ups have begun
offering machine learning as a cloud service due
to the burgeoning demand for AI-based
computation. Cloud-based solutions are ideal for
small and midsized businesses that find
on-premise solutions costlier. Thus, the
increasing adoption of cloud-based technology is
necessitating the need for deep learning. Deep
learning training to hold largest share during
forecast period The key factor driving the
growth of the data center accelerator market for
deep learning training is the increasing use of
the technology in various applications such as
voice recognition, fraud detection, voice search,
recommendation engines, sentiment analysis, image
recognition, and motion detection. Also, the
companies such as Amazon Web Services (US) and
Microsoft (US) have developed a deep learning
interface, which can be used to prototype, build,
train, and deploy machine learning models for
cloud and mobile apps.
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GPU held largest share of market based on
processor type in 2017 The key factor driving
the growth of data center accelerator market is
the focus on parallel computing in AI data
centers. Deep neural networks and machine
learning would require parallel computing
solutions that can speed up 90 of algorithms in
AI. GPUs are suitable for parallel computing
because of their parallel architecture with
thousands of cores within, which enable them to
handle multiple instructions concurrently.
Parallel computing model is ideal for
implementing deep learning training and interface
as artificial neural networks principally work
more efficiently with a parallel computing
framework. North America held largest share for
data center accelerator market in 2017 North
America held the largest market share in 2017.
The growing trend of cloud computing has
radically increased the economic impact of data
center investments made by leading service
providers, such as Amazon (US), Facebook (US),
Google (US), and Microsoft (US).  Also, there is
a demand for sophisticated infrastructure and
services in North America, which encourages the
owners of data centers to opt for the
ANSI/TIA-942 standard and also, continually,
invest in upgrading their equipment and processes.
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Browse gtgt 51 market data
tables 48 figures
126 Pages and in-depth TOC on Data
Center Accelerator Market - Global Forecast to
2023 Early buyers will receive 10 customization
on this report. This is a Premium Report Priced
at Single user US 5650 Corporate User
US8150 This study answers several questions for
the stakeholders, primarily which market segments
to focus on in the next two to five years to
prioritize efforts and investments.
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Key players - The Data Center Accelerator Market
is dominated by

• Amazon (US)
• Facebook (US)
• Google (US)
• Microsoft (US)
• Dell (US)
• Lenovo (China)
• Fujitsu (Japan)
• Cisco (US).  

• NVIDIA (US)
• Intel (US)
• Alphabet (US)
• Advanced Micro Devices (US)
• Achronix Semiconductor (US)
• Oracle (US)
• Xilinx (US)
• IBM (US)
• HP (US)

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