Industry Analysis
Qualcomm’s data center push isn’t a mere diversification—it’s a foundational re-architecting of AI compute via HBC. By integrating 3nm EUV and bandwidth-compression logic, Dragonfly directly undermines the HBM memory bottleneck, forcing GPU rivals to rethink interconnect and packaging. Microsoft and Meta’s early adoption signals not just technical validation but a strategic hedge against NVIDIA dependency. Yet, with U.S. export controls tightening on advanced packaging tools, reliance on foundries in Taiwan, China introduces supply chain fragility. NVIDIA will likely lock in more CoWoS capacity; AMD may double down on CDNA and ROCm with MI400. Over the next 18 months, the industry will pivot from raw compute density to energy-per-token efficiency—potentially fracturing global AI infrastructure into two competing paradigms: one centered on low-power CPUs with HBC, the other on legacy GPU clusters.
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