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News articleYahoo Finance· March 29, 2026
Lam Research Weighs AI Equipment Strength Against TurboQuant Memory Questions
View original at finance.yahoo.comLam Research Weighs AI Equipment Strength Against TurboQuant Memory Questions Make better investment decisions with Simply Wall St's easy, visual tools that give you a competitive edge…
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Lam's role in enabling new chip architectures, higher layer counts, and tighter geometries could support tool demand even if memory usage per AI model changes
60% confidenceLam Research is highlighted for its role supplying equipment used to produce AI focused chips as demand for advanced etch and deposition tools intensifies
60% confidenceLam Research sits at the core of AI chip manufacturing, providing etch and deposition tools that chipmakers rely on to build advanced memory and logic devices
60% confidenceGoogle's TurboQuant algorithm could reduce memory requirements for certain workloads
60% confidence