Data center chip architecture for AI training 2025| ��ƽ��

Data center chip architecture used for artificial intelligence (AI) training phase in 2017 and 2025

Characteristic	GPU	ASIC	Other
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Release date

January 2019

More information

Region

Worldwide

Survey time period

2017

Supplementary notes

*2025 figures are forecast.

ASIC: application-specific integrated circuit; CPU: central processing unit; FPGA: Field programmable gate array.

Citation formats

As of November 2019, application-specific integrated circuits (ASIC) are forecast to have a growing share of the training phase artificial intelligence (AI) applications in data centers, making up for a projected ** percent of it by 2025. Comparatively, graphics processing units (GPUs) will lose their presence by that time, dropping from ** percent down to ** percent.

AI chips

In order to provide greater security and efficiency, many data centers are overseeing the widespread implementation of artificial intelligence (AI) in their processes and systems. AI technologies and tasks require specialized AI chips that are more powerful and optimized for advanced machine learning (ML) algorithms, owning to an overall growth in data center chip revenues.

The edge

An interesting development for the data center industry is the rise of the edge computing. IT infrastructure is moved into edge data centers, specialized facilities that are located nearer to end-users. The global edge data center market size is expected to reach **** billion U.S. dollars in 2024, twice the size of the market in 2020, with experts suggesting that the growth of emerging technologies like 5G and IoT will contribute to this growth.