Crypto World News reports that Citrini Research states AMD and Apple are advancing flash memory replacement DRAM solutions in AI products to reduce memory costs. AMD is acquiring MEXT to optimize flash memory performance, while Apple is achieving device-side optimization through LLM in a Flash technology. The demand for KV caching in AI inference is increasing, and HBM occupies 25% of DRAM capacity, while flash memory costs only 1/55 of DRAM. Through controller optimization, NAND stacking, and cell mode adjustments, a capacity and bandwidth alternative can be provided for edge AI.

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MevTeaBreak
· 5h ago
Is the cost of flash memory only 1/55 of DRAM? That cost-cutting room is wildly exaggerated—edge AI is about to take off.
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BridgeHopBella
· 5h ago
HBM consuming 25% of DRAM capacity is indeed a headache; switching to a flash memory solution can ease supply chain pressure.
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HotspotChaser
· 5h ago
NAND stacking + cell mode adjustment, this technical approach sounds like it’s tailor-made for mobile AI.
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RugProofRita
· 5h ago
If Apple's LLM in a Flash technology is implemented, running large models locally on the iPhone is not a dream.
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TvlDownBad
· 5h ago
AMD's move to acquire MEXT is clever; optimizing flash memory controllers is the key breakthrough.
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