Lambert

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

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From GPUs to Gigawatts: Mapping the AI Data Center Stack 🧵 GPUs create the demand, but the data center stack decides how much compute can actually be used. Memory feeds the accelerators. Networking keeps clusters synchronized. Servers turn silicon into deployable systems. Storage moves data into the pipeline. Power and cooling set the hard physical limits. Compute silicon $NVDA $AMD $INTC $AVGO Memory and Storage SK Hynix, $SNDK $MU Samsung $WDC $PSTG $NTAP Networking & Connectivity $ANET $CSCO $MRVL $CRDO $CIEN Neo Clouds $NBIS $IREN $CRWV 👇

The California wealth tax is not on income… It’s 5% of your net worth. It’s state seizure of private assets. This is now on the ballot and likely to pass. Realize where we are.

The AI Inference boom is now driving demand across the full compute stack from silicon & memory to optics, power, packaging & cloud: • AI Silicon: $NVDA, $AMD, $AVGO, $INTC • Foundry & Packaging: $TSM, $AMKR, $GFS • Memory & Storage: $MU, $SNDK, $WDC, $STX • Cloud Platforms: $AMZN, $GOOGL, $MSFT, $BABA • Power & Analog: $TXN, $ADI, $NXPI, $STM, $MPWR • Optical Network: $LITE, $COHR, $AAOI, $TSEM, $GLW, $MRVL, $AXTI

$NVDA has built one of the deepest strategic investment portfolios in public markets with bets across nearly every layer of the AI stack: • Physical AI: Figure AI, Wayve • Nuclear Fusion: Commonwealth Fusion • GPU cloud: $CRWV, $NBIS, Nscale, Lambda • Chip Design & Manufacturing: $INTC, $SNPS, Groq • Networking & optics: $LITE, $COHR, $MRVL, Enfabrica • Foundation models: OpenAI, xAI, Mistral, Cohere, Perplexity Nearly every investment either consumes Nvidia GPUs today or helps create demand for more of them tomorrow.

CHEATSHEAT and price targets for PHOTONICS STOCKS: Here’s the full stack + WHY each matters + price targets 1 year from now: 1. MATERIALS & WAFERS $AXTI — Enables indium phosphide wafers for ultra-fast optical chips → Current: ~$76 | PT: $130 $WOLF — Silicon carbide boosts efficiency, reduces heat in AI systems → Current: ~$32 | PT: $44 $COHR — Vertically integrated materials powering lasers + optical scaling → Current: ~$336 | PT: $400+ $LWLG — Electro-optic polymers unlock next-gen ultra-fast data transfer → Current: ~$12 | PT: $18 2. TOOLS $ASML — EUV lithography = ONLY way to manufacture advanced AI chips → Current: ~$1,460 | PT: $1,800 $AMAT — Deposition + etch tools build photonic integrated circuits → Current: ~$420 | PT: $520+ $LRCX — Precision wafer processing = yield + scale for AI hardware → Current: ~$280 | PT: $360 3. LASERS $LITE — Lasers + optical interconnects powering hyperscaler AI clusters → Current: ~$875 | PT: $1200 $LASR — Industrial + photonic lasers enabling chip manufacturing precision → Current: ~$76 | PT: $110 $SMTC — Optical + analog chips powering signal transmission in AI systems → Current: ~$110 | PT: $180 4. FOUNDRIES $TSM — Manufactures advanced AI + photonic chips at global scale → Current: ~$410 | PT: $500 $TSEM — Specialty analog + photonics foundry for optical chips → Current: ~$200 | PT: $240 $GFS — Diversified chip manufacturing including photonics + RF → Current: ~$62 | PT: $90 $UMC — Cost-efficient manufacturing supporting optical IC production → Current: ~$12| PT: $20 $INTC — Building integrated photonics for AI interconnect dominance → Current: ~$82 | PT: $130 5. TEST, INSPECTION & PACKAGING $AEHR — Burn-in testing ensures AI chips don’t fail at scale → Current: ~$97 | PT: $160 $VIAV — Tests optical networks for hyperscale AI performance → Current: ~$47 | PT: $70 $ONTO — Inspection systems ensure precision at nanometer scale → Current: ~$311 | PT: $360 $AMKR — Advanced packaging connects chips for AI compute clusters → Current: ~$80 | PT: $110 6. OPTICS (MODULE LAYER) $AAOI — Transceivers moving data between GPUs at insane speeds → Current: ~$155 | PT: $260 $POET — Optical interposers enabling chip-to-chip photonic communication → Current: ~$15 | PT: $32 $GLW — Optical fiber backbone of global AI data traffic → Current: ~$176 | PT: $180 7. NETWORKING $CRDO — High-speed connectivity chips for AI clusters + data centers → Current: ~$190 | PT: $240 $MRVL — Custom silicon + optical interconnects for AI infrastructure → Current: ~$170 | PT: $300 $AVGO — Dominates switching + networking chips for hyperscalers → Current: ~$420 | PT: $600 $ANET — AI-optimized networking for ultra-fast data center scaling → Current: ~$180 | PT: $240 $CIEN — Optical networking connecting global AI data centers → Current: ~$520 | PT: $650

These photonics stocks have strong growth runway over the next decade. Here's is the full cheat sheet - Photonic Materials and Substrates 1. $GLW +128% 2. $LWLG +246% 3. $AXTI +350% 4. $ALMU +8% Packaging and Assembly 1. $FN +50% 2. $AMKR +82% 3. $TSM +26% 4. $GFS +68% Lasers and Light Sources 1. $LITE +128% 2. $COHR +73% 3. $IPGP +66% 4. $LPTH +38% 5. $LASR +98% Optical Components and Transceivers 1. $AAOI +309% 2. $OPTX +207% Photonic Integrated Circuits 1. $MTSI +207% 2. $POET +110% 3. $AVGO +22% 4. $MRVL +84% 5. $CRDO +37% Test, Sensing, Broader Photonics 1. $CIEN +111% 2. $CSCO +17% 3. $MKSI +67% 4. $VIAV +163% 5. $AEHR +333% Photonics super cycle is just starting. Bookmark this post for research!

In 2 years, POET grew 18000% from $1 to $16 so far. When POET was trading at $4, I said, "This is the NEXT AMD" in AI. No one listened. Here's my favorite 14 photonics AI stocks to focus on: 1. AEHR | Aehr Test Systems (~$96) Tests photonic burn-in every hyperscaler order runs through them. Buy zone: $60–$70 2. AAOI | Applied Optoelectronics (~$163) 800G/1.6T transceiver wins with MSFT backlog accelerating fast. Buy zone: $80–$90 3. LITE | Lumentum Holdings (~$881) $2B NVIDIA deal. OCS backlog sold out through 2027. Buy zone: $550–$600 4. CIEN | Ciena (~$520) WaveLogic 6 DSP dominates. 45% backlog surge signals runway ahead. Buy zone: $300–$300 5. MRVL | Marvell Technology (~$163) Custom AI ASICs + optical DSP NVIDIA $2B partnership confirmed. Buy zone: $100–$120 6. GLW | Corning (~$175) Fiber monopoly. $6B Meta deal funds AI data center buildout. Buy zone: $120–$130 7. COHR | Coherent Corp (~$340) Deepest optical platform. Book-to-bill above 4x — capacity constrained. Buy zone: $220–$230 8. MTSI | MACOM Technology (~$288) LPO tech cuts DSP cost. 3.2T roadmap positioned for next cycle. Buy zone: $220–$230 9. FN | Fabrinet (~$720) Manufactures for everyone optical foundry with zero customer drama. Buy zone: $480–$500 10. CRDO | Credo Technology (~$195) 201% YoY revenue growth. DustPhotonics deal adds silicon photonics IP. Buy zone: $90–$100 11. VIAV | Viavi Solutions (~$45) Hidden alpha. Test infrastructure every optical vendor relies on. Buy zone: $25–$30 12. AXTI | AXT Inc (~$76) InP wafer chokepoint. $60M backlog. Doubling capacity by end-2026. Buy zone: $40–$45 13. LWLG | Lightwave Logic (~$15) EO polymer tech could replace lithium niobate. 4 Fortune 500 design-wins. Buy zone: $7–$8 14. POET | POET Technologies (~$16) Optical interposer on a single chip. Marvell order = first real commercial signal. Buy zone: $6–$8 Remember, LWLG and POET are early-stage plays on a real AI bottleneck: moving data faster and more efficiently inside data centers. LWLG is developing polymer-based optical tech that could outperform current materials with lower power and higher speed. POET is building integrated optical chips that simplify and reduce the cost of high-speed data transmission. These stocks can both hit $100+ in less then 2 years but it will require strong adoption, major partnerships, and a continued AI-driven market rally. ♻️ RESHARE this post and reply with 1 comment for my trading strategy for FOMC on April 29.

PHOTONICS / OPTICAL STACK 10 layers - check this out

2026 IS THE YEAR OF PHOTONICS • $GLW glass fiber & cable infrastructure for optical networks • $MRVL optical DSPs & custom interconnect silicon for AI clusters • $CRDO retimers, DSPs & active cables for rack-level signal integrity • $AEHR burn-in & reliability test systems for photonics & AI hardware • $CIEN optical transport systems that move long-distance data traffic • $ALAB PCIe & CXL connectivity chips linking CPUs, GPUs & memory • $FN contract manufacturing for optical modules & networking hardware • $AAOI data center optical transceivers with in-house laser manufacturing • $LITE high-speed lasers & optical components for data center transceivers • $COHR photonic materials, lasers & components across industrial & AI systems • $AVGO Ethernet switch chips, custom ASICs & optical components for AI networks