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Technology review

How hyperscalers are rethinking AI infrastructure

To move data faster, farther, and more efficiently, the AI ecosystem is exploring RF silicon interposer technology that allows to heterogeneously integrate CMOS, BiCMOS, and III-V materials

Summary

As AI workloads grow, moving data between servers, switches, and processors is becoming a major challenge in terms of bandwidth, power consumption, latency, and cost.

RF silicon interposer technology enables the best of multiple semiconductor worlds. By heterogeneously integrating CMOS, BiCMOS, and III-V chiplets, it combines cost-effective manufacturing with the high-frequency performance needed for next-generation optical interconnects and extreme-bandwidth systems.

Early design assessments suggest RF silicon interposer technology could reduce III-V chiplet area by more than 3x without sacrificing functionality. 

This opportunity extends beyond AI data centers. The same technology could support high-frequency radar and next-generation satellite communication systems.