Rock and Roll UPDATE: One of original investigating officers into Kurt Cobain’s death now claims lack of blood splatter present on the hand that supposedly pulled the trigger could indicate murder
nypost.com/2026/10/19/us-new…
Mark Hogan retweeted
BREAKING: Russia’s President Putin has proposed a meeting with President Trump and President Xi to negotiate an end to the war with Ukraine, per WSJ.
The meeting is proposed for next month and was floated on an October 9th phone call with President Trump.
This was the same call that produced a deal for the US to buy Russian diesel.
Ukraine War UPDATE: President Trump claims today that great progress is being made negotiating peace between Russia and Ukraine
Iran War UPDATE: Iran urges US to accept same proposal previously rejected by Trump
Reuters reported on October 18, 2026, that Iranian Foreign Minister Abbas Araqchi stated Iran’s offer to the United States to reopen the Strait of Hormuz within seven days remains on the table...
reuters.com/world/middle-eas…
Mark Hogan retweeted
ANTHROPIC: AI COULD PUSH U.S. GDP TO $44 TRILLION BY 2030
Anthropic co-founder Jack Clark says an internal model projects AI could boost U.S. GDP from $30 trillion to $44 trillion by 2030.
Clark credits accelerating AI capabilities and scientific breakthroughs but stresses the need for stronger global AI regulation.
The key takeaway: A potentially massive AI-driven economic expansion, though the forecast remains highly speculative.
$NBIS : Worth Reading @MarcelLarsen_ Engaging the Bears Here 😁
$NBIS
Your one calculation is wrong: $45B divided by $180M is 250x. And trailing P/E is the wrong tool for a company that grew revenue 454% last quarter and sells out every GPU it brings online. Nebius guides $3-3.4B of revenue this year at a ~40% group adjusted EBITDA margin, roughly $1.2-1.4B of adjusted EBITDA, and every dollar goes straight back into capacity customers are fighting over. CFO Dado Alonso: "Once again, we sold out our capacity as demand continued to exceed available supply." CRO Marc Boroditsky: "4 or more customers competing for every GPU we bring online."
What you skipped:
• Q2 revenue up 454% to $582.3M and ARR up 598% to $3.0B, with a 49.7% adjusted EBITDA margin in AI cloud. Four landmark deals averaged over $1B each
• 2026 guidance reaffirmed at $7-9B of ARR by year-end, after the AI cloud pipeline grew 3.5x in Q1 excluding hyperscaler deals
• Over $40B of customer commitments. AAA-rated Microsoft is $17.4B, up to $19.4B, with every tranche delivered, and Meta is up to ~$27B
• Over $9B of customer prepayments expected this year. 70% of Q2 deals included prepayments covering 50-60% of the capex, and payback fell to 1 year 10 months from 2-3 years
• GPU prices raised 17-21% on October 1. H100 went from $3.85 to $4.50 an hour and B300 from $7.85 to $9.50
• 5 GW of contracted power targeted by year-end, including a 1.2 GW Pennsylvania campus whose first 250-300MW arrives by the end of 2027
• Rated Platinum in SemiAnalysis's ClusterMAX 3.0 alongside CoreWeave
Now 2027. Microsoft's $17.4B runs five years out of Vineland, a site designed for up to 300MW. On 300MW that's about $11.6M per MW a year. Meta's $12B of dedicated Vera Rubin capacity, starting in early 2027, also runs five years, so $2.4B a year, or about 200MW at that rate. Volozh says Nebius plans to build more than 1 GW of new capacity a year starting in 2027. Take only 800MW of it:
• 200MW for Meta: $2.4B
• 600MW at $20M per MW, the bottom of Q2's $20-25M deals: $12.0B
• Plus $7B, the bottom of the 2026 guide
That's $21.4B of ARR at the end of 2027, and at Q2's 49.7% AI cloud margin, over $10B of adjusted EBITDA a year. Push 20% of the enterprise capacity into 2028 and ARR is still $19.0B. Wolfe models $13.9B, and BNP Paribas, with a $399 target, sees about $22B.
That gives zero credit for the $40-50M per MW short-term deals Nebius has started signing, "and sometimes above" per Volozh, Token Factory, where inference workloads more than tripled in Q2, or being named Palantir's sovereign AI infrastructure partner. Volozh: "We could sell our entire 2027 capacity on these terms today." The CFO said they're choosing not to, "reflecting our confidence with respect to future pricing dynamics."
At $45B, Nebius trades at 2.1x that $21.4B and 2.4x the stress case. The average analyst target is ~$284, and Rosenblatt is at $304.
"Worthless": at June 30 Nebius had $10.34B of shareholders' equity and $8.04B of cash, plus a stake in ClickHouse, a company valued at ~$15B in January. Microsoft and Meta's commitments alone come to up to ~$46B, about the entire market cap you call worthless. Lenders priced its first secured loan, $775M, at SOFR + 2.50%, and investors bought $3.45B of its converts at a 0.50% coupon. They read the filings you didn't.
On 1999: name one dot-com whose customers prepaid half the cost of its buildout, or that signed $17.4B with Microsoft and delivered every tranche. 27 years should be long enough to tell a company with no customers from one with over $40B of signed commitments.
On "short any rally": anyone who shorted Nebius on P/E at $76.77 last December had lost $223 a share, nearly 3x what they sold it at, by the time it hit $299.86 in June. That's the trade you're recommending today.
I'm long $NBIS.
Despite recent market volatility and the AI selloff, $NBIS remains my highest-conviction investment and is once again the largest holding in our portfolios.
It’s rare to find a generational opportunity at the intersection of seemingly insatiable demand, low-cost financing, and management execution that continues accelerating despite the company’s growing scale.
The Street expects roughly $16B in exit ARR for 2027. Following Q2, our full-company model projected approximately $31B. I increasingly believe even that may prove too low.
Management has discussed short-term capacity deals approaching $50M in annualized revenue per MW. If Nebius can capture more of this demand through short-term auctions rather than locking capacity into lower-priced multiyear agreements, revenue per MW could meaningfully exceed our assumptions.
Combined with accelerating capacity deployment, $NBIS could potentially exit 2027 at more than 2x current Street expectations.
I’ve been deploying significant cash from our flagship and active Growth portfolios during this selloff.
Looking beyond 2027, our models suggest $NBIS could surpass $100B in annual revenue by 2030. I increasingly believe even that extraordinary forecast could be exceeded.
Two developments are changing my expectations.
First, Vera Rubin could materially increase the revenue potential of newly deployed capacity, particularly in short- and medium-term contracts. Alongside Nebius’s expanding software stack, including Token Factory and zero-day model support, the company is moving further beyond commodity GPU rentals.
Second, capacity acquisition is accelerating. Much of our original forecast depended on greenfield developments across the US and Europe coming online in 2028 and 2029. Management’s hybrid approach, incorporating brownfield acquisitions, colocation, and faster near-term deployments, could pull substantial revenue forward.
Higher revenue per MW combined with faster capacity deployment creates enormous upside to our existing scenarios. New management announcements continue strengthening the probability of our bull case.
Of course, none of this comes cheaply. Our CapEx forecasts are also substantially above Street expectations. But unlike the financing concerns recently surrounding $CRWV , Nebius benefits from a strong cash position, attractive debt terms, and significant flexibility across debt, convertibles, equity, and potential subsidiary monetizations.
Management has demonstrated an impressive ability to balance these financing sources without compromising growth.
I suspect the upcoming Q3 earnings could be a major catalyst if management provides formal 2027 ARR and CapEx guidance. Both figures could catch Wall Street badly off guard.
The market continues to underestimate not only the scale of infrastructure Nebius is building, but also the increasingly valuable software platform sitting on top of it.
$NBIS remains my highest-conviction long-term holding, and recent volatility has only strengthened that conviction.
Mark Hogan retweeted
How could you POSSIBLY be bearish on compute right now when GPU rental prices are doing THIS?
According to data from FastGPU, GPU rental prices increased as many as 81 times across providers over the past 60 days, with some of the most important chips used for AI training and inference seeing MASSIVE price increases. NVIDIA B300 rental prices increased 52.8%, going from $8.50 to $12.99 per GPU hour. H200 prices jumped 33.3%, B200 prices increased 27.8% and H100 prices rose 30% and the RTX PRO 6000? Rental prices surged an absolutely INSANE 307%.
We're watching AI infrastructure companies get absolutely DESTROYED in the stock market, with investors freaking out about debt, financing costs, oversupply, and whether these companies will ever generate attractive returns on their investments. Meanwhile, the actual cost of renting the underlying compute is going UP.
If we were genuinely heading toward a massive compute oversupply, you would expect rental prices to start collapsing as providers competed to fill their available capacity. Instead, we're seeing pricing strength across some of the most important GPUs powering the AI industry. And remember, we're still in the EARLY stages of AI adoption. Frontier labs are scaling their training clusters, inference demand is exploding as more people and businesses adopt AI, and the amount of compute required to serve increasingly sophisticated models continues to grow.
This is EXACTLY why I've been so bullish on companies like $NBIS , $MU , $CRDO , $IREN etc. I genuinely believe compute will remain one of the most valuable resources in the AI economy for years to come. And while Wall Street continues panicking over the short term volatility, I'm BUYING THE DIP.
If you want to know exactly what I’m buying on this dip and how I’m positioning across the compute buildout, check out portfolio below.
link.milkroad.com/tx5qip
GPU rental prices went up 81 times in 60 days, per FastGPU's report.
The biggest increases were on the chips used for frontier training and production inference:
→ B200: 7 increases (~17.7% each)
→ H200: 6 increases (~17.5% each)
→ H100: 8 increases (~14.3% each)
→ B300: 6 increases (~10.4% each)
For a team renting 8 B200s around the clock, a single $1.20/GPU-hour increase adds roughly $7,000 to the monthly bill.
And when supply is short, the provider controls the price, and you absorb the increase.
It doesn’t have to work that way.
With B3IQ, you own the machine and pay for it once.
We build, host, and run it for you. And you can also rent out the hours you don’t need.
Mark Hogan retweeted
Almost a year later, we’re back at that point.
Using a VERY conservative estimate for the value of the non-core business units, $NBIS' core business is effectively trading at ~1-2x YE2027 ARR at today’s market cap.
It’s been a long time since the stock was this cheap.
Using a VERY conservative estimate for the value of the non-core business units, $NBIS' core business is effectively trading at ~1-2x YE2026 ARR at today’s market cap, with half of that ARR already pre-booked.
It’s been a long time since the stock was this cheap.
Also, this marks the third time this year $NBIS has experienced a 40%+ drawdown. For stories like this, periodic sentiment resets are normal, and often where the best opportunities emerge.
Mark Hogan retweeted
Blackwell Ultra (B300) GPU rental prices up 17 consecutive days to a new all-time high, according to Compute Desk's index of verified transactions from U.S. neoclouds.
$NBIS : Worth Reading @daniel_koss on How the Ai Bear Case of Lower Token Costs and Rising GPU Prices is Actually the Ai Bull Case Based on Unit Economics 🔥
Respectfully, this thinking is very common among AI bears, but gets the unit economics of AI almost perfectly backwards!
With this thinking you'll get the Math wrong by orders of magnitude. Let me break down why:
1. "input costs are skyrocketing"
input cost per gpu is definitely the wrong unit. what matters is cost per token, and that's collapsing because each new generation makes far more tokens from the same power.
for example: $NVDA gb300 makes up to ~50x the tokens per MW of hopper. cost per 1M tokens went from $4.20 to $0.12. that's ~35x cheaper, even though each gpu "costs more".
2. "token prices are hyper-deflating"
the falling prices are for old capability. new models make smarter tokens, and smarter tokens sell for more
openai's cheapest model is $0.50 per 1M output tokens, its top model is $50. 100x apart. Quite important to understand that not all tokens are equal.
3. simple example:
hopper: cost $4.20 per 1M tokens. sell at $10
gb300: cost $0.12 per 1M tokens, ~50x the tokens. now let's just for the sake of argument assume we sell at half the price, $5
profit per 1M tokens:
hopper: $10 - $4.20 = $5.80
gb300: $5 - $0.12 = $4.88
about the same per token. but gb300 makes ~50x as many from the same power
total profit: ~40x higher, with token prices down 50%
cheaper tokens also unlock way more usage. google went from 9.7T tokens a month to 3.2 quadrillion in two years
what you call the bear case is the most bullish setup in the industry.
$NBIS : Did Vara Ai go the way of Leopold and get blown up on leverage?
$NBIS : I’m a buyer of Nebius on this extreme fear, picked up 1,000 shares 🔥
Tons of positive catalysts recently and I love the way the business is developing on a fundamental level. Of course it’s hard to time the bottom, but I think it’s undervalued here
(Not Financial Advice)






























