GPU for Deep Learning Market Set to Surge - Key Insights You Must Know

GPU for Deep Learning Market

The global market for GPU for Deep Learning was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.

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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North American market for GPU for Deep Learning is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for GPU for Deep Learning is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The major global manufacturers of GPU for Deep Learning include Nvidia, AMD, Intel, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.

By Type
• RAM Below 4GB
• RAM 4~8 GB
• RAM 8~12GB
• RAM Above 12GB

By Application
• Personal Computers
• Workstations
• Game Consoles

Key Companies
Nvidia, AMD, Intel

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This release was published on openPR.