VincentAntonFreeman

The NeoCloud Thesis: Hyperscaler Capex Funnel Why I'm putting $1.5M+ into Neoclouds, and why this might be a 200-300%+ return. 🔹 Buckets Mag7 contracts: $CRWV, $NBIS ✅, $WULF, $CIFR ✅ With compute: $IREN ✅, $BITF Speculative: $WYFI, $GRRR ✅, $SLNH Miners pivoting to HPC: $RIOT, $MARA, $CLSK, $HUT Thesis: Mag7 is AI compute strained, by design from $NVDA. Trillions of capex that normally flowed through AWS, MSFT Azure, Google Cloud for traditional compute, will now funnel into NeoClouds when they cant handle new AI loads from Anthropic, OpenAI, Gemini, etc. This is a once-a-decade opportunity, similar to the GPU arms race that made $NVDA a $4T company, on who powers the infra for AWS/Azure/etc for the next 5-10 years. NBIS (17B from MSFT), CIFR / WULF (3B from GOOGL), CRWV (backstopped by NVDA) are all scaling hundreds of percent (NBIS went from 150M quarterly revenue to likely 1.5B+) with 60-80% gross profit margins. This revenue growth is almost unheard in history. It's mainly because it's the wealthiest hyperscalers funneling capex into tiny companies. NVDA / TSM (2022->): GPU for hyperscalers CRDO / ALAB (2024 ->): hyperscaler wins -> parabolic growth. NBIS/CIFR/IREN/etc (2025 - ) AWS/Azure/etc. -> parabolic growth from AI compute This is how you get hundreds of % in return, not value investing in Paypal. Momentum riding the next generational companies. So bear thesis usually involves around - Execution Risk (before it was more speculative, now companies like NBIS have 4B+ to execute) People can always worry about execution but Microsoft or Google would not be signing such large 5-10 year contracts without their own DD. - Large interest rates (mainly looking at you CRWV), that's why NBIS, CIFR, and others have potential amazing returns. You have 4B+ in funding for $NBIS at $138+ a share (when it's $107 now). And funding for $CIFR at $16+ a share when it's $11 now. ABOVE current price funding is a bullish tell. - GPU depreciation (valid concern but it's almost like oil, even older models kept their value and still deliver equity). - Valuation (I still think we're just getting started. If NBIS scales to 6B rev next year 75% gross margin), 26B marketcap is extremely tiny. - NVDA potentially launching their own GPU-as-a-service and directly competing. Right now these Neoclouds are NVDA's answer to preventing concentration risk to Azure/AWS/etc. - Custom hyperscaler chips like TPU, Trainium. But likely years away, since they're still begging for NVDA compute and signed 5Y-10Y contracts. Regardless these neoclouds like Nebius are really undervalued relative to forward revenue/gross margins. We're still very early. Make sure to ride the Neocloud wave like Crypto/TSLA with Trump election or NVDA with OpenAI release. Of course this is highly speculative and I wouldn't YOLO full port calls, but Risk vs. Reward on these little 5-20B neoclouds powering AI workloads for Google/MSFT/etc, the cash cows of Mag7, is worth it. (Trade time Horizon: 8m - 1 year.) This is the single best asymmetric AI infrastructure trade for 2025-2026.

**Since the dot-com bubble (2000 to May 2026), BRK.B has slightly outperformed SPY overall.** Key highlights from the data: - During the 2000-2002 crash, BRK.B gained big (+28% in 2000, +7% in 2001, -4% in 2002) while SPY got crushed (-10%, -12%, -22%). - Over the last 20 years: nearly identical cumulative total returns (~699% BRK.B vs ~697% SPY). - Longer term (1996-2026): BRK.B +1,939% vs SPY +1,772%. BRK shone in downturns; SPY has led in recent bull runs. Not advice—DYOR.

THE COMPUTE CAPACITY BOTTLENECK $GOOGL just admitted Google Cloud is leaving revenue on the table because it cannot build capacity fast enough with shifts the bottleneck to companies with the power, real estate & operational scale to deploy AI compute: 1. $NBIS building the AI-native cloud layer through vertically integrated GPU clusters & software optimized for training + inference. $NVDA just wrote wrote a $2B check & Nebius now has a $46B contracted backlog, anchored by ~$19B $MSFT deal & ~$27B Meta partnership through 2032. 2. $IREN building the renewable-powered AI compute layer by turning low-cost power into GPU cloud capacity. The pivot to AI cloud is now backed by a ~$10B $MSFT contract, 2.9 GW of grid-connected power expanding to 4.5 GW+ & targeted 140K GPU buildout that could drive $3.4B of ARR by year-end 2026. 3. $DOCN building the agentic inference cloud layer for developers & long-tail AI workloads. AI customer ARR is up 150% YoY to $120M, over 70% comes from inference services & $1M+ customer ARR is up 123% to $133M. 4. $CRWV building the dedicated AI cloud platform for frontier model developers. The company has ~$67B of contracted revenue backlog (nearly $88B including Anthropic) with major commitments from OpenAI & Meta. 5. $CIFR building the Google-backed AI data center layer through contracted power & hyperscale leases. Barber Lake has 300 MW fully contracted with Fluidstack (Google backstops $1.4B with a ~5% equity stake) and AWS signed a separate $5.5B 15-year deal for another 300 MW of capacity. 6. $WULF building the power-backed AI compute layer through long-term data center leases. Lake Mariner has 360 MW tied to Fluidstack backed by a $3.2B Google guarantee & new Abernathy JV adds 168 MW over 25 years representing $9.5B in contracted revenue with $1.3B of Google lease support. 7. $APLD building the purpose-built AI data center layer through its Polaris Forge 1 campus in North Dakota. The full 400 MW critical IT load is contracted to CoreWeave under ~15-year leases worth ~$11B in expected revenue with first 100 MW delivered in Q4 2025 & another 300 MW targeted through 2027.