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The era of AI is booming, and recently the US stock market's storage sector has been talked about every day, with NAND, DRAM, and HBM flying everywhere. Do you all know what they are? 😂 Here's a popular science post to boost your knowledge
1. NAND
Pronounced /nænd/, roughly like "Nan-de" in Chinese.
Full name NAND Flash, which is flash memory.
Its main feature is that data is not lost when power is off, providing persistent storage.
It's everywhere around us: SSD solid-state drives, USB drives, memory cards, the 256G or 1TB internal storage in phones—all of these use it. Large SSDs in enterprise servers also use NAND.
SanDisk's core asset is NAND; AI datasets and vector databases ultimately rely on it.
In short, it's used for storing data.
2. DRAM
Pronounced /ˈdræm/, roughly like "Dram."
Full name Dynamic Random Access Memory, which is the running memory.
All data is cleared when power is off, but it's much faster than NAND.
Corresponding products include computer RAM sticks, 12G/16G phone RAM, and server memory.
Temporary data during GPU computations is stored in DRAM.
In short, it's used for running processes; it doesn't store data long but runs fast.
3. HBM
No need to memorize the pronunciation; just say the letters one by one.
Full name High Bandwidth Memory, a high-end upgrade of DRAM.
While regular DRAM chips are laid flat on the motherboard, HBM stacks multiple layers of chips vertically, maximizing bandwidth.
High-end AI GPUs like Nvidia H100/H200 and AMD MI series come standard with HBM.
Note that HBM is not a separate category; it is still part of the DRAM family, just a high-end form.
Production mainly relies on three companies: Micron MU, Samsung, and SK Hynix.
Finally, just remember roughly: NAND is for storage, DRAM is for running processes, and HBM is a special fast-running memory for AI.
Is everything clear now? #AI 🦧 #USStockMarketKnowledge

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From now on, I don't want to easily make trial-and-error mistakes with altcoins, especially those involved in various trading competitions. The profits come from the participants themselves.
I trusted too much~
From now on, I can't place orders based on my trust. #交易之声:你的经验值得被听到
Snapshot at 20 Aug 2026, 08:48