Application-specific integrated circuits (ASIC) are forecast to have a growing share of the inference 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.
Edge processor architecture used for AI inference phase in 2017 and 2025*
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McKinsey & Company. (January 11, 2019). Edge processor architecture used for AI inference phase in 2017 and 2025* [Graph]. In Statista. Retrieved December 22, 2024, from https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/
McKinsey & Company. "Edge processor architecture used for AI inference phase in 2017 and 2025*." Chart. January 11, 2019. Statista. Accessed December 22, 2024. https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/
McKinsey & Company. (2019). Edge processor architecture used for AI inference phase in 2017 and 2025*. Statista. Statista Inc.. Accessed: December 22, 2024. https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/
McKinsey & Company. "Edge Processor Architecture Used for Ai Inference Phase in 2017 and 2025*." Statista, Statista Inc., 11 Jan 2019, https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/
McKinsey & Company, Edge processor architecture used for AI inference phase in 2017 and 2025* Statista, https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/ (last visited December 22, 2024)
Edge processor architecture used for AI inference phase in 2017 and 2025* [Graph], McKinsey & Company, January 11, 2019. [Online]. Available: https://www.statista.com/statistics/1104856/edge-processor-architecture-ai-inference/
