Blog

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

DRAM scaling has reached the angstrom level—and the advanced architectures and processes that make higher performance and lower cost per bit possible. Watch now to see how memory keeps getting smaller.

Lam Research and CEA-Leti have formed a multi-year partnership to accelerate the development of specialty technology devices critical for AI hardware. This collaboration focuses on advancing materials, processes, and manufacturable solutions to improve energy efficiency and performance in AI data centers.

Lam Research’s Aether dry resist technology eliminates pattern collapse and reduces defects, enabling precise, high‑aspect‑ratio features for next‑generation 3D DRAM and HBM.

With over 40 years in making semiconductor equipment, Lam Research has demonstrated leadership in etch and deposition that meet the precision and yield demands of advanced packaging, helping customers ramp new technologies with confidence.

Not every chip on a wafer behaves the same; even small variations can impact yield. The Lam Semiverse Solutions team explains how engineers use virtual fabrication to understand why these differences happen and how to fix them.