ReleaseWire

Global GPU for Deep Learning Market Share and Growth 2019 :Nvidia, AMD, Intel

Posted: Saturday, March 30, 2019 at 10:13 PM CDT

Los Angeles, CA -- (SBWire) -- 03/30/2019 --A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. Modern GPUs are very efficient at manipulating computer graphics and image processing, and their highly parallel structure makes them more efficient than general-purpose CPUs for algorithms where the processing of large blocks of data is done in parallel. In a personal computer, a GPU can be present on a video card, or it can be embedded on the motherboard or—in certain CPUs—on the CPU die.

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The global GPU for Deep Learning market is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.

This report focuses on GPU for Deep Learning volume and value at global level, regional level and company level. From a global perspective, this report represents overall GPU for Deep Learning market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.

The following manufacturers are covered:
Nvidia
AMD
Intel

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Segment by Regions
North America
Europe
China
Japan

Segment by Type
RAM <4GB
RAM 4~8 GB
RAM 8~12GB
RAM >12GB

Segment by Application
Personal Computers,
Workstations
Game Consoles

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