It's 2030, your portfolio has 30x-50x why?
Becuase you bought these 4 memory stocks and held:
1. $MU — Micron Technology
Target: $5,000 by 2030
AI servers require massive HBM; memory becomes AI's biggest bottleneck.
2. $SNDK — SanDisk
Target: $4,000 by 2030
Every AI model creates exploding storage demand across the world.
3. $WDC — Western Digital
Target: $2,500 by 2030
Data must be stored forever; AI multiplies storage requirements.
4. $DRAM — DRAM ETF
Target: $300 by 2030
Owns the memory ecosystem powering AI compute and storage.
Memory is the new oil. Without memory, AI cannot train, infer, or scale.
Below are $BAC.PRK projections it shows we're still super early.
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@Banana3Stocks Hi
If you may please address Google Turbovec with your MU thesis.
It’s allegedly going to dramatically reduce memory space.
I am a subscriber of your and would like your thoughts. Thank you!
SAM ALTMAN HAS A NEW PROBLEM. ����
Google just shrunk 31GB of AI memory down to 4GB.
The tool is called TurboVec.
It uses up to 16x less memory, searches faster than FAISS, runs fully offline, and works on a regular Mac.
No expensive GPU cluster.
No cloud dependency.
No compromise on speed.
→ 16x lower memory usage
→ Faster vector search
→ Works with LangChain & LlamaIndex
→ 100% open source
The race to build bigger AI models is loud.
The race to make them dramatically cheaper just got a lot more interesting.
Repo: https://t.co/08TFGtHL6K
2 years ago, I said buy $ASTS at $2 before it spiked to $130+
Recently, I explained why these would explode:
$SNOW $120 → $320
$HPE $30 → $100
$TE $5 → $20
$KEEL $2 → $18
$DELL $240 → $600
Right now, I'm saying $ORCL is next on June 10 then $MU. Both will be massive earnings.
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