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FX_Nolan-Stock Trading Analyst【Nasdaq S&P500】
@josephcurl
Daily research on US stocks, Hong Kong equities, ETFs and options, focused on market trends, portfolio strategy, technical levels and risk control.
838 Following    8.7K Followers
🇺🇸 $NVDA — Feels like something big could be coming. Jensen doesn’t usually show up unless the AI infrastructure story is getting even bigger. Right now, everyone’s waiting for a major announcement, with whispers about deeper AI compute partnerships. No solid confirmation yet. But here’s what’s clear: AI demand isn’t slowing down. SpaceX is locking in huge compute deals. Google needs more GPUs. Anthropic is running out of capacity. And $NVDA is still the centerpiece of the whole AI supply chain. The real play isn’t just AI models. It’s chips, data centers, power, and compute. Watch: $NVDA $AMD $AVGO $TSM $GOOG $MSFT $AMZN $TSLA There might be some crazy volatility ahead. Don’t chase blindly. Follow compute.
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AI isn't just getting bigger. It's also getting cheaper. TurboVec, based on Google Research's TurboQuant, shrinks AI vector memory from 31GB down to 4GB. That means: Less memory used. Faster searching. AI that works offline. No need for expensive GPU clusters. No relying on the cloud. Everyone's focused on bigger models. But the real game-changer might be cost reduction. If AI gets cheaper to run, more people will use it. Stocks to keep an eye on: $GOOG $NVDA $MSFT $AMZN $META $AMD $AVGO My take: The next AI opportunity isn't just about who builds the biggest model. It's about who makes AI cheaper, faster, and easier to roll out.
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