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• Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. JMuthal (talk) 22:31, 12 March 2026 (UTC)

MEXT Predictive Memory is a software-based memory tiering system developed by MEXT, a U.S. technology company. According to MEXT, the system uses software to manage data between dynamic random-access memory (DRAM) and flash memory, with the goal of reducing reliance on large DRAM configurations for memory-intensive workloads.^[1] IDC has described MEXT as a company focused on "AI-driven memory tiering" intended for environments constrained by DRAM cost and capacity.^[2]

MEXT states that Predictive Memory is designed to move less-active memory pages from DRAM to flash and to use a predictive engine to move selected pages back into DRAM before they are requested by an application.^[1] The system operates below the application layer and does not require application changes.^[1]

The product includes a predictive engine and related observability tooling.^[1] The company also states that the software is intended for Linux environments and can be used in bare-metal, virtualized, and containerized deployments.^[1]

MEXT publicly presented the technology at the Future of Memory and Storage conference in August 2025. The conference program listed a session by Gary Smerdon, identified as MEXT's CEO and founder, under the title Meet AI-Powered Predictive Memory: DRAM Performance at Flash Cost.^[3] A slide deck associated with the presentation states that MEXT was founded in 2023 and identifies "AI-Powered Predictive Memory" as the company's core product.^[4]

• Memory hierarchy
• Virtual memory
• Flash memory
• Dynamic random-access memory