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Nvidia expanded a rapid investment campaign in 2026, deploying US$17.5 billion in the fiscal year that ended January 25, 2026, and topping US$45.3 billion so far in 2026, according to the company's financial disclosures and PitchBook data. Executives framed the activity as targeted moves across model providers, compute and cloud firms, and hardware and optical interconnect suppliers aimed at secur

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The global race for AI computing power continues to intensify, beyond ongoing GPU shortages. CPUs, long viewed as secondary components in servers, are once again becoming critical parts of data center infrastructure due to the rapid rise of AI inference and AI agent applications.

Micron's senior vice president, Jeremy Werner, told The Circuit Podcast that memory has become a strategic bottleneck for data-center inference, warning that insufficient memory can sharply cut GPU utilization while faster, larger memory can theoretically...The article requires paid subscription.Subscribe Now

AI-driven demand and new product cycles are accelerating competition among major memory makers, creating pressure across storage and component supply chains. Production is running near full capacity, margins on some DDR5 products have improved, and...The article requires paid subscription.Subscribe Now

AI-driven demand and new product cycles are accelerating competition among major memory makers, creating pressure across storage and component supply chains. Production is running near full capacity, margins on some DDR5 products have improved, and next-generation HBM will be a focal point of contention through 2027 and beyond.

Micron's senior vice president, Jeremy Werner, told The Circuit Podcast that memory has become a strategic bottleneck for data-center inference, warning that insufficient memory can sharply cut GPU utilization while faster, larger memory can theoretically multiply the compute extracted from GPUs. The remarks underscore how storage and memory design could limit AI deployment.

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