Lambert

If you want exposure to memory, $DRAM is a great ETF. 1. $MU - 24.63% 2. Samsung - 24.11% 3. SK Hynix - 23.08% 4. $SNDK - 4.9% 5. Kioxia - 4.86% 6. $WDC - 4.77% 7. Nanya - 3.89% 8. Winbond - 2.4% SK Hynix is sold out of HBM, DRAM, and NAND for 2026. Micron has exited consumer memory entirely — and even with that focus, can only meet ~67% of medium-term AI customer demand.​​​​​​​​​​​​​​​​ You are not bullish enough

Key stocks in the data centre value chain. Ai can’t run without them $AMD — CPU compute for AI training and inference $VRT — Cooling and power delivery for dense GPU clusters. $MU — HBM memory; feeds data to GPUs at speed. $SNDK — NAND flash storage for datasets and model checkpoints. $ANET — High-speed ethernet switching between servers and GPUs. $NBIS — Deploys and operates GPU clusters as a service. $IREN — Cheap-power GPU hosting; miner pivoting to AI compute. $VST — Grid-level power generation feeding data centre demand.

“TPUs don’t make money — the bottlenecks around them do.”

Google didn’t just launch new TPUs. They split the AI stack. Training vs inference, separate lanes now. That’s a big deal. More compute → more interconnect → more power → more cooling. Follow the chain: $MRVL $CRDO (data flow) $COHR $LITE (optics) $MPWR $VICR (power) $VRT (cooling) $TSM $AMKR (build it) This isn’t one trade. It’s an ecosystem shift.

If you're looking for exposure to the AI memory and HBM supercycle, the DRAM ETF is worth a look. The top 3 memory gaints are all in there: • $SSNLF (Samsung) - 25% • $HXSCL (SK Hynix) - 25% • $MU (Micron) - 24%

$NVDA just told you exactly where to invest your money. They just poured $4 billion dollars into photonics. Here are 10 of the most important photonics companies you need to be aware of: 1. $LITE - Lumentum (Lasers) The laser source that powers photonics interconnects. NVIDIA just invested $2B with a multibillion-dollar purchase commitment for advanced laser components. Building a new 240,000 sq ft InP laser fab in North Carolina. Added to the S&P 500. When NVIDIA writes a $2B check to secure your supply, the market is telling you something.

If you invested $10K in Nvidia back in 2010… You’d now have $6.2M. $NVDA

Here’s my 15-stock AI infrastructure watchlist AI INFRASTRUCTURE CORE $MRVL → Custom AI silicon for hyperscalers like Google and AWS → Data center now the core growth engine → Strong XPU positioning in AI compute $CRDO → Critical connectivity layer inside AI clusters → Expanding into silicon photonics and optical transceivers → Direct beneficiary of hyperscaler GPU scaling $ALAB → PCIe/CXL connectivity solving AI server bottlenecks → Key enabler for GPU communication efficiency → Strong execution and AI infrastructure leverage $AAOI → Riding the 800G and 1.6T optical upgrade cycle → Vertical integration gives margin and supply edge → Hyperscaler demand remains strong $MXL → Emerging optical DSP player in AI infrastructure → Pivoted from broadband into data center growth → Early in hyperscaler qualification cycle MEGA-CAP AI COMPOUNDERS $MSFT → Enterprise AI leader via Copilot and Azure → Massive distribution advantage through software ecosystem → AI monetization still in early innings $GOOG → Search funds AI innovation and cloud expansion → Strong custom silicon and AI infrastructure strategy → Multiple growth engines beyond search $AMZN → AWS remains the AI cloud backbone → Aggressive AI infrastructure spending → Retail and ads fuel long-term AI investment SEMICONDUCTOR CYCLE PLAYS $AMD → Leading Nvidia alternative in AI compute → Enterprise traction growing with MI300 → Multiple cycle tailwinds in AI and PCs $MU → HBM memory is essential for AI GPUs → Direct play on AI compute demand → Strong AI-driven memory cycle setup $INTC → Foundry turnaround with strategic US importance → Big upside if execution improves → High risk, high reward setup $ARM → Royalty model across global chip ecosystem → Expanding into AI edge and data center → Benefits from industry-wide chip growth CONNECTIVITY, POWER & INFRA $SIMO → Storage controllers powering AI data growth → NAND cycle recovery adds tailwind → Undervalued storage infrastructure play $NOK → Optical and fiber backbone for data traffic growth → Beneficiary of telecom and hyperscaler upgrades → Defensive infrastructure exposure $BE → On-site energy for power-hungry AI data centers → Solves grid bottleneck challenges → Direct energy infrastructure AI play AI is not one stock. It’s chips, memory, optics, networking, storage, and power. Follow the infrastructure. That’s where the real compounding happens. Not financial advice.

This is why I own $TSM. TSMC does not pick sides. It collects from all of them. $MU and $DRAM SK Hynix need it because HBM must be physically bonded to the logic die during the CoWoS process. Memory and packaging are now one supply chain. $ARM needs it because virtually every ARM-designed chip in existence is fabricated at TSMC. The architecture and the foundry are inseparable. Own the IP. Own the fab. Own everything in between. $AMD needs it for SoIC chiplet stacking and high performance compute. AMD was the first SoIC customer and is deepening that relationship every generation. $NVDA needs it for 3nm and CoWoS-L packaging. NVIDIA alone has booked over 70% of all CoWoS-L capacity. The anchor tenant of the entire AI infrastructure build. $AAPL needs it for InFO advanced packaging and 2nm exclusivity. Apple funded TSMC's yield learning curve for every major node transition since 20nm. $AVGO needs it for co-packaged optics and high speed networking ASICs. One of the top CoWoS customers behind only NVIDIA. $QCOM needs it for mobile silicon and every Snapdragon platform on Earth. MediaTek needs it for every mobile, TV, and AI edge chip it produces. One of TSMC's largest and most loyal volume customers globally. Hyperscalers need it for proprietary AI ASICs at massive cloud scale. Google, Amazon, and Meta are now competing directly with NVIDIA for TSMC packaging slots. Every AI winner routes through TSMC. Every single one. It is not a semiconductor company. It is the de facto semiconductor index. A proxy for the entire industry that frees every partner to compete while TSMC collects from all of them. You do not need to pick the winning AI chip. You just need to own the foundry that makes them all. $TSM is not a position. It is a thesis.

WE'RE GONNA NEED A BIGGER BOAT $NVDA

SK Hynix reported a more than 5X increase in net profit in Q1 with an operating margin of 72%, more than 14 points above TSMC’s operating margin of 58%. $TSM $MU $NVDA

@MarcosMillaYT This is an AI generated video of Jensen Huang. Deep fake.

NVIDIA $NVDA is a $1,000 stock… “$3 trillion in revenue is possible for NVIDIA in the near-future” - Jensen Huang

Daniel Loeb’s Stock Portfolio Visualized:

The S&P 500 is not as diversified as you think.

Nvidia $NVDA just posted this: “Introducing NVIDIA Nemotron 3 Nano Omni, an open multimodal model that unifies video, audio, image and text reasoning within a single model. Built for agentic AI workloads”

J.P. Morgan just announced: "we are in dire, absolute NEED for nuclear." If you want to become a potential billionaire, make sure you have these nuclear stocks in your portfolio: 1. Oklo $OKLO 2. NuScale Power $SMR 3. Nano Nuclear Energy $NNE 4. Centrus Energy $LEU 5. ASP Isotopes $ASPI 6. Lightbridge $LTBR All my buy and sell signals in Discord @ stockwhale.vip.

THIS IS MASSIVE: Nvidia $NVDA CEO Jensen Huang expects revenue to surpass $1,000,000,000,000 by 2027. For context: Nvidia made roughly $130B in its most recent fiscal year. This would be an 8x jump.

$NVDA launched Nemotron 3 Nano Omni which is an open omni-modal AI model built for enterprise agents that can process text, images, audio, video, documents & charts with up to 9x higher throughput than comparable open models. Nvidia clearly moving deeper into the model layer by building faster & cheaper AI models that make its platform more central to how enterprise AI agents actually get deployed.

Nvidia CEO Jensen Huang just revealed the ‘Five Layer’ AI Model. These 5 layers include; 1. Energy - $BE $OKLO $VRT 2. Compute - $NBIS $IREN $CIFR 3. Photonics - $AAOI $LITE $SIVE 4. Memory - $MU $SNDK $STX 5. Chips - $NVDA $AMD $AVGO All of these stocks will explode in 2026 & 2027 as AI continued to expand. (This list isn’t exhaustive, just some of my favourites).

BREAKING: $1 trillion in 'taxable' wealth has left California since the launch of a one-time 5% tax proposal on billionaires Larry Page, Sergey Brin, Zuck, Peter Thiel, Don Hankey, Travis Kalanick, and Andy Fang are among the billionaires packing up