YACHT OPTICS · Industrial Optical & Ethernet Solutions

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Proportion of AI Server Chips

ARK's research suggests that accelerated computing—powered by graphic processing units (GPUs) and AI application-specific integrated circuits (ASICs), as opposed to general purpose central processing units (CPUs)—now dominates server investment, representing 86% of compute server. ARK's research suggests that accelerated computing—powered by graphic processing units (GPUs) and AI application-specific integrated circuits (ASICs), as opposed to general purpose central processing units (CPUs)—now dominates server investment, representing 86% of compute server. How the $1. 2 trillion AI infrastructure boom is triggering the biggest semiconductor supply chain realignment in decades 1 NVIDIA's data center revenue hit $115. 2B in FY2025 (+142% YoY), but market share is projected to decline from 86% to ~75% by 2026 as custom ASICs scale. 2 trillion by 2028, a nearly tenfold increase over four years WASHINGTON, June 1, 2026 – The Semiconductor Industry Association (SIA), in partnership with Deloitte, today released a report finding. AI model training and inference workloads are forcing the industry to rethink not only how much compute fits in a rack, but how servers are architected from end to end — transforming computing infrastructure as we know it. Traditional servers can't keep pace with the unique characteristics of AI. As chip technologies continue to advance, AI will become more capable, energy-efficient, and cost effective. Image:. The AI chip market in 2025 is defined by extraordinary demand, tight supply chains, and a widening gap between companies that can deliver production-scale accelerators and those still fighting for meaningful volume. Training large AI models remains a major growth engine, but inference is becoming.

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