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SK hynix and TetraMem collaborate on experimental chip to bolster energy efficiency for edge AI devices — memristor-based in-memory SoC research leaves performance questions up in the air
What happened
SK hynix, TetraMem, and USC researchers developed a memristor-based in-memory computing SoC for edge AI. The experimental chip targets energy efficiency but currently offers only 2.54 TOPS, significantly below Copilot+ requirements. This R&D milestone has no immediate impact on current supply or pricing.
Impact and signal
Low impactImpact score: 10/100
Affected components and suppliers
MemristorIn-memory computing (IMC) SoC
R&Dmemristoredge AIexperimental
Source and time
Source: Tom's Hardware · 7/10/2026 · View original source
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