According to a recent LinkedIn post from Rwazi, NVIDIA is portrayed as holding a dominant position in high-end AI compute, with an estimated 2.96 million H100-equivalent chips shipped in Q4 2025. The post indicates this figure represents 65.5% of globally tracked AI compute capacity in the period, far ahead of Google at 976,000 units and other suppliers such as AMD, Amazon, and Huawei.
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The LinkedIn commentary characterizes the situation less as a traditional market share dynamic and more as a supply-constrained environment in which NVIDIA effectively influences pricing, availability, and the pace of AI build-out. From an investor perspective, this framing suggests that companies seeking “frontier AI” capacity may face both cost and timing risks that are tied to NVIDIA’s roadmap and output, potentially affecting capital allocation, project timelines, and competitive positioning across the AI ecosystem.
The post also promotes Rwazi’s Market Mosaic subscription as a source of deeper insights, implying that the firm is positioning itself as an analytics provider on AI infrastructure trends. For investors, such data services could be relevant for assessing supply-chain dependencies in AI compute, comparing the strategic posture of hyperscalers versus chip vendors, and gauging how prolonged supply tightness might support margins for leading hardware suppliers while constraining smaller or late-entering AI players.