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NVIDIA’s AI GPUs Face Overwhelming Data Growth Bottleneck, But Samsung’s V10 NAND Production For Next-Generation CMX Storage To Offer Relief, At The Industry’s Expense
NVIDIA's AI GPUs are grappling with data bottlenecks due to an explosive increase in temporary context data, which necessitates the use of Samsung's V10 NAND chips for Context Memory Storage (CMX). Although this partnership aims to remove limitations on NVIDIA's GPU performance, it poses a challenge for the wider industry due to an expected supply deficit. The situation recalls historical shortages in DRAM that hurt prices across markets, and with NVIDIA's growing demand, the impact on other companies and consumers could be severe. Although Samsung is on track to earn significant profits, the focus on NVIDIA's needs may leave others struggling.
MonitorConfidence: MediumShort term horizonSupply chain risk: High
Published 20 Jul 2026, 12:20 UTC3 min read
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Summary
TL;DR
- NVIDIA GPUs face unprecedented data growth bottlenecks.
- Samsung reallocates V-NAND production to meet NVIDIA's demands.
- CMX storage designed to alleviate data bottleneck.
- Potential supply shortages will negatively affect other companies.
- NAND manufacturers are shifting focus due to lucrative partnerships.
Interesting facts
- Samsung's V10 NAND production will enhance storage density to 500 layers.
- NVIDIA's storage chip demand is projected to rise to 100 million terabytes by 2026.
- Samsung's production shift could lead to record profits, outpacing the last 40 years.