CEA-Leti Looks Beyond SRAM and DRAM as AI Reshapes the Memory Roadmap
CEA-Leti’s François Andrieu describes more embedded, persistent, and low-energy memories that will meet the growing demands of AI.
By Pat Brans, EE Times | July 22, 2026
As AI pushes more data through processors, accelerators, and embedded systems, CEA-Leti is rethinking the memory roadmap. The institute is not betting on a single emerging technology to replace SRAM, DRAM, or NAND flash. Instead, it sees new memories filling the gaps to create a more diverse hierarchy adapted to AI’s need for more capacity, lower energy, and closer proximity to compute.
For François Andrieu, head of the memory lab at CEA-Leti and a Leti fellow, the roadmap now follows two main tracks. “One is rooted in Leti’s long-standing work on embedded nonvolatile memory [eNVM], mainly for microcontroller applications,” he told EE Times. “The other is driven by AI, where the challenge is to keep more information close to the compute engines that need it.”
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