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Kioxia to use upgraded NAND CXL modules to replace some DRAM

Kioxia plans to deploy CXL modules designed for AI workloads to speed up NAND flash processing and substitute for some DRAM. At a recent technical briefing, the company said the modules can cut data read times to under one-tenth of conventional products, approaching DRAM performance. Replacing part of DRAM with CXL modules could double capacity and boost performance by 30%.

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AI take

This signals a shift in memory hierarchy economics, where CXL-enabled NAND starts to blur the line between storage and main memory for AI workloads. The key implication is for system architects and cloud operators, who may soon weigh cost-per-capacity against latency trade-offs when designing servers. The claimed 10x read-time reduction and 30% performance uplift are the metrics to scrutinize in real-world deployments, as vendor benchmarks often diverge from production results. Whether this technology gains traction with major CPU and platform vendors will determine if it becomes a standard alternative to DRAM, or remains a niche solution for specific AI inferencing tasks.

Generated by AI for reference only.

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