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Light-based interconnects dramatically improve AI computing speed, energy efficiency. Lam’s precision etch and dep tech make photonics manufacturable at scale.

SEMulator3D® Analytics is useful in calibrating FinFET device profiles, helping engineers achieve high precision in modeling fin etch depth and critical dimensions.

With AI's overwhelming demand for DRAM, Lam is accelerating its response with streamlined workflows and specialized tools help speed efficiency, yield, and cost savings.

As a viable alternative to silicon, gallium nitride (GaN) can help data centers meet the growing demands of AI by enabling more efficient power delivery and reducing energy consumption.

Boise investment keeps Lam’s capabilities tightly coupled to customer roadmaps