EE Times reports on industry-wide efforts to scale multi-die packaging and chiplet architectures for next-gen AI accelerators and processors. Multi-die systems allow higher transistor density and performance per watt than monolithic designs, crucial as thermal and power envelopes constrain single-die scaling.
Challenges include die-to-die interconnect latency, yield management across multiple dies, and chiplet supply-chain coordination. Companies like TSMC, Samsung Foundry, and Intel are leading investments in chiplet test, binning, and assembly-yield improvements.