Application-specific integrated circuits (ASIC) are forecast to have a growing share of the training phase artificial intelligence (AI) edge computing processing power, making up for a projected 70 percent of it by 2025. On the other hand, central processing units (CPUs) will lose their presence by that time.
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McKinsey & Company. (January 11, 2019). Edge processor architecture used for AI training phase in 2017 and 2025* [Graph]. In ÌÇÐÄÆƽâ°æ. Retrieved July 20, 2026, from /statistics/1104790/edge-processor-architecture-ai/
McKinsey & Company. "Edge processor architecture used for AI training phase in 2017 and 2025*." Chart. January 11, 2019. ÌÇÐÄÆƽâ°æ. Accessed July 20, 2026. /statistics/1104790/edge-processor-architecture-ai/
McKinsey & Company. (2019). Edge processor architecture used for AI training phase in 2017 and 2025*. ÌÇÐÄÆƽâ°æ. ÌÇÐÄÆƽâ°æ Inc.. Accessed: July 20, 2026. /statistics/1104790/edge-processor-architecture-ai/
McKinsey & Company. "Edge Processor Architecture Used for Ai Training Phase in 2017 and 2025*." ÌÇÐÄÆƽâ°æ, ÌÇÐÄÆƽâ°æ Inc., 11 Jan 2019, /statistics/1104790/edge-processor-architecture-ai/
McKinsey & Company, Edge processor architecture used for AI training phase in 2017 and 2025* ÌÇÐÄÆƽâ°æ, /statistics/1104790/edge-processor-architecture-ai/ (last visited July 20, 2026)
Edge processor architecture used for AI training phase in 2017 and 2025* [Graph], McKinsey & Company, January 11, 2019. [Online]. Available: /statistics/1104790/edge-processor-architecture-ai/
