Alex A.C. retweeted
Charlie Munger: “We just look for no-brainer decisions.”
There are plenty of businesses that, for whatever reason, you won’t easily understand. That’s fine. You don’t need many new ideas each year.
You just need the patience to wait for an attractively priced opportunity that’s well within your wheelhouse. Then it’s a no-brainer.
Alex A.C. retweeted
Nvidia’s management change will not alter Gigabyte’s close partnership with the chip maker, said Gigabyte co-GM E-Tay Lee at its 3rd quarter conference, media report. Gigabyte is working on several next-gen Nvidia AI server platforms.
Gigabyte posted record high Q3 net profit of NT$8.57 billion and for the first 9-months, NT$20.45B. Lee said demand remains “very strong”, while order visibility continues to improve.
Server revenue grew 100% year-on-year to top NT$310 billion in the first 9-months and Lee forecast the business will reach new heights in 2027.
Gigabyte raised its 2027 capex to NT$4 billion, up from this year’s range NT$2.8B-NT$3B. $NVDA #AIservers #Gigabyte money.udn.com/money/story/56…
Friends who work at major Korean memory companies told me that all their planned visits to NVIDIA this month have been canceled or postponed. I was hoping to meet up with them when they came to the Bay Area and discuss NVHBM… It certainly sounds like things are pretty hectic inside NVIDIA right now.
Alex A.C. retweeted
Notable signal for $MU and $SKHY:
🚨China's DRAM maker $CXMT notes AI servers are pushing the memory supercycle into a new "tiered era"—while CITIC Securities sees supply shortages potentially lasting into 2028 and beyond.
> Servers now drive >50% of DRAM demand (AI models & computing centers)
> Supply tightness could extend into 2028+
> Automotive memory projected at ~30% CAGR through 2030
> Phones & PCs remain cyclical, shifting competition to full-application portfolios
Alex A.C. retweeted
Elon Musk and Jensen Huang reveal they text each other often (2025)
HUANG: “And we’ll see what happens long term. You know, when currency doesn’t matter anymore, just let me know right before.”
MUSK: “You’ll see it coming. You’ll see it coming.”
HUANG: “We text often, so just...”
MUSK: “Yeah, we do.”
HUANG: “Yeah, just text it off, let me know before.”
Jensen Huang says he loves working with Elon Musk, and reveals their engineering teams are designing a new type of server to put data centers in space
“I’m delighted that I love working with Elon. He’s using our technology for his own AI in training models and such, deploying models, of course."
"Grok Bot is super cool. The demand for Grok Bot, the consumption for Grok Bot is really skyrocketing. And then, of course, he rents it."
"And so the combination of these three things, he’s fairly unique in doing that. I guess Google does that. That would be yet another example."
"And so I think he also has the advantage that he loves the intersection between computing and the physical buildouts. He loves that whole area. Nobody knows more about energy than he does."
"One particular new market that we’re going to go explore together is putting data centers out in space. Our two engineering teams are working super closely together to create a new type of server, a new type of architecture that might be super good in space and on Earth.”
I recently spoke with someone at Microsoft, and they said the company has effectively given up on developing its own frontier AI models to offer directly to users, the way OpenAI does…
이야, 교육 때문에 어쩔 수 없이 Copilot으로 파이썬 코드 바이브 코딩 중인데, 완전 쓰레기네요. Codex와 Claude Code랑 비교하면, 아니 Antigravity랑 비교하는 것 조차 불가능한 수준인 ... 🙊
Short $MSFT
Alex A.C. retweeted
BofA: Western Digital's management does not see any changes in orders from customers from the recent uncertainty associated with neoloud buildouts. The company is seeing increased spending coming from AI labs and neoclouds.
$WDC
Alex A.C. retweeted
$NBIS Our Q3 update deserves more than a revenue beat headline or a reaction to the capex number.
Customer terms improved, financing options expanded and the platform broadened.
Delivery slipped, the 2026 outlook weakened and management changed how it wants investors to measure the business.
Here is how we are working through it.
1. Start with what was actually earned.
Group revenue reached $980.8M, up 571% year over year and 68% sequentially. About $325M came from a nonrecurring initial phase of an asset-light partnership. Subtracting that item leaves approximately $655.8M, but that calculation is not a separately disclosed recurring-revenue figure. We would not annualize the entire headline quarter as compute rental income.
2. The asset-light model is beginning to produce revenue.
Nebius earns money when it enables its architecture and platform on partner-funded capacity, and as that capacity comes online. Management expects a small contribution to available capacity in 2027. The initial fee demonstrates a commercial path, but it does not tell us the eventual recurring fee yield, margin or amount of partner capacity. Those need separate assumptions.
The Q&A adds something important: Ophir Nave said the 2027 revenue guidance excludes potential asset-light and other partnership revenue. That makes the $12–13B outlook a different scope from a model that already includes those activities. Successful new partnerships could add to the outlook, but we should not extrapolate $325M every quarter or treat the upside as contracted revenue.
3. The earnings improvement needs a cash-flow check.
Group adjusted EBITDA was $465.8M. The AI cloud segment generated $518.2M at a 53.2% margin. Group continuing net income remained negative $37.5M, while adjusted net income was positive $90.9M. Operating cash flow was negative $273M and cash capex was $7.3B. These are different measures of progress, and one strong metric does not replace the others.
Dado specifically warned against annualizing Q3’s margin. The quarter benefited from point-in-time revenue, while new sites incur rent, power and payroll before billing starts. He expects owned capacity to improve the margin profile as it arrives in the second half of 2027. That supports a quarterly ramp, not a flat extrapolation of today’s 47.5% group margin.
4. Customers are accepting stronger terms.
Nebius reports more than $12B of contract value signed since the beginning of Q3. Weighted annual contract value per MW exceeded $25M on one-to-five-year deals, while average GPU-hour pricing rose more than 20% sequentially. Reserve auctions cleared over 15% above the reserve price, and short-term clusters priced above twice the reserved rate. The duration and hardware mix still determine what those prices mean for the overall fleet.
5. Upfront customer cash is increasingly important.
More than 90% of Q3 signed contract value carried a prepayment. For eligible agreements of at least a year, prepayments covered more than 100% of associated capex, including construction and networking. That is powerful evidence on those deals, not a statement that customers fund every dollar Nebius spends. Comparable one-to-three-year deal payback improved from 22 months to 19 months, excluding the timing benefit of prepayments.
6. Backlog and bookings need different clocks.
September RPO was $38.7B, versus $37.5B in June. The $12B-plus signing figure runs from the start of Q3 through the update, while RPO is a quarter-end balance affected by revenue recognition and contract scope. Marc clarified this directly: several agreements were signed after September and should appear in the following quarter’s commitments.
The high majority of the new TCV came from AI-native customers, largely existing platform customers scaling up. We cannot treat the difference between bookings and RPO as cancellations or claim enterprise already drives most new business.
7. Vineland is a real execution setback.
Nebius now expects more than half of the New Jersey Microsoft capacity delivered by year-end, with the remainder scheduled for Q2 2027. Some temporary generation was retired before the transition to permanent power; Bloom generation is operating and being expanded.
Other third-party colocation phases also moved into the first half of 2027. Contracts remaining in place protects future demand, but later billing still changes cash flow and financing costs.
8. Owned sites become more central.
Management says its owned projects remain on time or ahead and expects them to supply most future capacity. Missouri, Lappeenranta, a second Mäntsälä site and Alabama are expected to begin deployments in 2027. Their more than 3GW of eventual capacity is a multi-year program, not next year’s billable fleet. The more useful near-term question is how much becomes accepted, paid service in each quarter.
Andrey identified power and connection timing as the principal constraint. He said all 2027 equipment supply had been confirmed and technical integration work was advanced. Those are management’s assurances, not proof that every system is installed and billing. His comments on Pennsylvania were less precise about revenue timing than the four other named deployments. We should not insert a firm Pennsylvania revenue start from this answer.
9. The power pipeline continues to grow.
Nebius has more than 4GW contracted and retains its 5GW year-end target. Missouri expanded by 300MW to 1.1GW. The pipeline also includes planned capacity in Alberta, a 50MW South Carolina colocation and two India colocations. These widen the opportunity, but power rights, completed buildings and revenue-producing hardware remain separate milestones.
10. There is more to the platform than GPU rental.
Token Factory is approaching a multi-hundred-million-dollar run rate, with contract value up 17-fold sequentially. Databricks and Datadog add enterprise validation; Tavily extends Nebius into agent search and data. Initial Vera Rubin systems are live and being integrated, with CPU and inference infrastructure also expanding. The investment question is how these products improve retained customer spending and returns on capacity. We cannot count the same compute revenue again as an incremental software business.
11. The 2026 outlook moved lower despite the quarterly beat.
Revenue is now expected near the bottom of the $3–3.4B range. The call transcript records Dado narrowing revenue to $3–3.2B, while the written letter says the low end of $3–3.4B. We are preserving that distinction rather than silently treating the two formulations as identical.
The approximately 40% adjusted EBITDA margin is unchanged, but capex rises to approximately $27B. The old December ARR target was $7–9B; the new explicit milestone is above $7B in February. We would not describe that as the whole previous range simply moving two months.
12. The 2027 guide needs to be read as a connected plan.
Management expects $12–13B of revenue, $40–45B of capex and pretax breakeven in Q4, after financing costs and using five-year compute depreciation. Breakeven in the final quarter is not profitability for the full year. The capital spending also supports capacity with a revenue life beyond 2027.
Asked about the assumptions, Dado said the guidance builds in conservative deployment timing, with a larger owned-site contribution giving management more control. He sees customer demand extending into 2028. That gives us identifiable upside variables: earlier acceptance and excluded partnership revenue. It does not justify treating every favorable scenario as the expected outcome.
13. This is why we challenged the ARR communication.
We understand management’s concern that annualizing a single month can distort a growing business, especially with lumpy partnership revenue. But giving the full capex number without an exit recurring-revenue outlook leaves investors less able to connect spending to year-end scale.
A deployment beginning to bill late in the year contributes little to annual revenue while entering the following year with much greater earning capacity. Our request is for a clearly defined bridge between capacity, recurring revenue and the Q4 profitability milestone, with one-time fees separated.
14. Funding is improving, but the obligations do not disappear.
Nebius expects $17–20B of customer prepayments next year. It expects prepayments and financing against investment-grade contracts to cover 75–85% of capex.
The July $775M facility at SOFR plus 2.5% provides a concrete financing example. But expected financing is not the same as cash already drawn, and prepayments create future service obligations. They must be reconciled through cash flow, debt and future collections without being counted twice.
The Q&A also changes how we should model the contract mix. When external funding is expensive, management can allocate more capacity to core and longer contracts with larger prepayments.
When financing becomes attractive, it can retain more short-term and spot exposure. Financing costs therefore affect the revenue opportunity as well as interest expense. Holding a premium short-duration mix fixed while independently assuming unlimited cheap funding would miss this tradeoff.
Prepayments on existing capacity can fund subsequent construction too. That helps liquidity, but it does not eliminate the future service owed to customers.
15. The balance sheet and share count still matter.
Quarter-end cash was approximately $7.4B against approximately $14.2B of debt, with additional restricted cash that cannot simply be treated as freely spendable. Nebius also raised approximately $1B net through its ATM in Q3, alongside August’s convertible financing.
Dado disclosed 4.6M ATM shares issued at a weighted average $229.10, with 7.6M shares still available under that program. Available authorization is not a commitment to issue them. More capital can create value when returns justify it, but equity issuance and conversion terms belong in the per-share model.
16. The other businesses remain separate sources of value and cash needs.
Avride is expanding its autonomous fleet and delivery footprint. TripleTen reduced consumer cash burn. Toloka reported strong growth, while ClickHouse remains a minority investment. Their potential matters, but an equity stake is not cash available for construction until it can be monetized on acceptable terms.
17. Enterprise and open models broaden the opportunity, but the mix is still emerging.
Management does not publish an enterprise-versus-AI-native revenue split. It sees partnerships with Databricks, Datadog, Snowflake and Palantir as leading indicators, alongside direct enterprise adoption.
Roman sees more open and specialized models expanding the customer base that Nebius can serve. We would test that through paid workloads and expansion, not import an ecosystem token-volume statistic as Nebius market share.
18. The software explanation goes beyond a generic margin premium.
Token Factory is a per-token managed service with different service commitments from GPU-hour infrastructure. Routing, caching, optimization and post-training are intended to help customers move across the platform.
Eigen and Clarifai are integrated; Inferize brings faster model loading intended to improve utilization on spiky workloads. Roman did not give standalone product margins. An owned-infrastructure cost advantage is a thesis to model, not permission to add an unsupported software margin on top of compute economics already counted.
19. Community and permitting risk remains site-specific.
Management said it has no Texas operations and does not currently anticipate material schedule effects from the political shift in its operating states. It emphasized local engagement and answering concerns from both parties. That is management’s assessment. It should inform a site-by-site risk ledger, not become a blanket assumption that permitting cannot delay projects.
Overall, we believe $NBIS continues to execute at an extremely fast paced elite level on tasks within its control.
We do believe that releasing capex guidance and not exit 2027 was an overlooked stumble that we hope to see rectified in the coming days.
We will be releasing our updated 2027 model shortly, with new models for 2028, 2029, & 2030 coming soon as well.
We are still incredibly bullish on the company and are taking advantage of this post earnings dip.
However, we do admit that the lack of clarity here will likely take some time for the market to digest with the current negative environment in place.
Alex A.C. retweeted
A sad day for NVIDIA, developers, America, and all humanity. Jensen founded and ran one of the few companies to reach a massive scale while driving massive continued innovation and ubiquity, while others fell into the trap of ever-increasing extraction.
Alex A.C. retweeted
Look at the absurdity of the situation around $NVDA Jensen Huang right now:
Washington hawks are using "espionage" leaks to push him out and tighten chip restrictions—while Beijing just publicly told the US to stop using Jensen as a pretext for tech blockades.
When both sides of a geopolitical standoff are fighting over the narrative around one CEO, it proves one thing:
Jensen wasn't a security liability.
He was the last pragmatic bridge keeping the global AI semiconductor supply chain functional.
If $NVDA’s board sacrifices him to political noise, everyone loses—investors, hyperscalers, and the pace of global AI progress.
Save Jensen.
$NVDA Rumors so far:
1. Jensen is already out before next week's $NVDA earnings—board has drafted the announcement to name CFO Colette Kress or Chris Malachowsky as Interim CEO.
2. Jensen is joining @elonmusk at xAI or leading Tesla’s custom silicon after Elon tweeted "Would be an honor" to hire him.
3. Cloud hyperscalers and Neoclouds are freezing 2027 rack orders over compliance fears, rotating billions into $AVGO and $MRVL.
4. The coordinated leaks are a hit job by the closed-source AI cartel (OpenAI / Anthropic) because Jensen’s open-source push was destroying their moats.
5. DOJ will use the Megaspeed/security probe as a pretext to force an antitrust breakup of $NVDA.
6. Prediction market odds of Jensen leaving in 2026 secretly hit 75%+ on insider flow.
Save Jensen.
Alex A.C. retweeted
$NBIS earnings call — live notes 7:
Mgmt: the 2027 revenue guide is conservative. It does NOT include potential revenue from the asset-light model or other partnerships. If those land and scale, it will affect the guide.
The guide also leaves a big buffer for possible capacity delivery delays. On-time delivery would bring better results.
$NBIS earnings call — live notes 6:
Citi asked: TCV signed since start of Q3 is $12B+, but Q3-end RPO grew only 3% QoQ. Why?
Mgmt (Marc): a batch of newly released capacity in early Sept raised pricing, prepayments and contract length.
Deals signed after quarter-end show up in next quarter's disclosed commitments. Signing momentum continued into Q4.
“Our focus remains on building a healthy, profitable business for the long term. We will continue to invest across the business — in our capacity and infrastructure build-out, in our platform and products, and in the team that takes this to market.”
– Arkady Volozh, founder and CEO
Highlights from our Q3 results:
- Customers are paying more up front. Prepayments on Q3 agreements covered more than 100% of the related capex, including data center construction and networking, up from 50–60% in Q2.
- Pricing continues to rise. Annual contract value on Q3 deals topped $25 million per MW, up from more than $20 million in Q2, and GPU-hour prices rose on average by more than 20% from Q2.
- Our customer base is growing. We added more AI-native companies and signed our first agreements with leading enterprise data and AI platforms.
Alex A.C. retweeted
One thing is clear: large energy consumers need oil storage—additional oil storage, and more of it.
Spending billions on battery storage instead at this time is a big mistake.
Alex A.C. retweeted
People used to say « you could see the computer age everywhere but in the productivity statistics »
Factories had electric motors for about 40 years before they got much faster
the first one went into a factory around 1884.
by 1899 motors ran less than 5% of the machinery in american factories, and they didn't pass half until about 1919.
even then most owners did the obvious thing. they pulled the big steam engine out of the basement, put a big electric motor where it used to sit, and kept everything else.
one motor turned a long iron shaft along the ceiling, belts dropped from it to every machine on the floor, and the whole thing spun from morning to night whether you were running one lathe or fifty.
the gains showed up once people stopped copying the old layout. when every machine got its own small motor, you didn't need the shafts, so you didn't need tall narrow buildings stacked around the power source.
Factories went flat and single story, machines got lined up in the order the work moved, and one snapped belt no longer stopped a whole room.
Power per unit of capital stayed flat for 30 years, then climbed fast through the 1920s and 30s, the same years factory productivity took off.
paul david, the stanford economist, used this in 1990 to answer robert solow's line that you could see the computer age everywhere but in the productivity statistics.
The computer gains did show up a few years later, in the late 90s.
So when people argue over charts like these about whether ai is paying off yet, i'd watch who tears out the line shaft aka rebuilds from scratch
most companies are still bolting a model onto the old org chart but my guess is the numbers move when somebody builds the single story version of a company around it
Hard for me to look at these charts from the FT, especially the first one, and not see some evidence of “ROI on AI.”
Seems like a productivity surge post-Covid era overhiring that began to reverse before ChatGPT came out and then resumed its upward trend after ChatGPT.
Especially given the @a16z data on revenue per employee at their portfolio companies and the @EPBResearch data showing that the 3 industries that have most heavily adopted AI have gone from 2.2% productivity growth to 5% productivity growth.
And makes sense that it is showing up in the US first - America is 72% of Anthropic revenue vs. 50%ish at most application software companies.
Great stuff from @jburnmurdoch even if I disagree with his conclusion.
Alex A.C. retweeted
HUGE
- $TSM reports 60% revenue increase, signaling sustained demand for AI chips
- Strong performance underscores continued reliance on advanced semiconductor capacity for AI acceleration
> $TSM's significant revenue growth reflects robust demand for advanced chips used in AI infrastructure, reducing near-term concerns about demand normalization.
> The scale of this growth suggests the AI buildout cycle remains energized despite industry-wide capacity additions.
Alex A.C. retweeted
SEMI has joined a Samsung, SK Hynix and Micron early-stage working group to set a charging standard for mobile robots in semiconductor fabs, media report, including batteries, charging-station communications, connectors and battery-management systems, aiming to reduce maintenance burdens and dependence on individual robot vendors. $SKHY $MU $SSNLF #Samsung #SEMI en.sedaily.com/technology/20…
Alex A.C. retweeted
Esto va a reventar. Es imposible defender un sistema en el que tú pagas para que se beneficien extranjeros que nunca han pagado un € en España. O para que tu voto valga igual que el de alguien que no ha pisado España. Es la prioridad nacional al revés.
Alex A.C. retweeted
With $NBIS reporting Thursday, November 12, and so much fear and volatility across AI infrastructure, we’ve made our latest Nebius 2027 report free to read in full, including the valuation and every price target our Premium members received in October.
We think the market is underestimating how much business Nebius can deliver next year. In our October 26 report, we forecast $21.86B of 2027 revenue against the $12.24B Street estimate we reviewed, a gap of 78.5%. Our EBITDA forecast is $12.49B against $6.53B, or 91.3% higher.
Most of that difference comes from the amount of capacity we expect to earn revenue during 2027. We worked through the sites, hardware deliveries, customer commitments and commissioning schedules quarter by quarter. At our expected fleet yield, the Street revenue estimate would require roughly 513 average billable MW. Our model reaches about 938 MW.
Our targets for December 31, 2027:
Bear: $340.31
Base: $471.44
Bull: $628.75
Probability-weighted: $479.29
We weight those cases 30%, 40% and 30%. Even our Bear case produces $19.07B of revenue, more than 50% above the Street estimate in the report. Our disagreement with consensus runs through the operating forecast, well before we put a valuation multiple on the business.
The build accelerates sharply toward the end of 2027. Our Base case closes the year with 1,613 MW of accepted IT capacity, but much of it earns revenue for only part of the year. Pennsylvania and Independence arrive late in our schedule. We expect a much larger business by December, while recognizing that a delayed commissioning date would remove months of revenue from the forecast.
We also follow who is paying for that capacity and on what terms. Longer contracts bring customer advances that help fund construction and equipment. Shorter contracts give Nebius more exposure to the prices customers are willing to pay for scarce compute. We expect that mix to support strong growth, with the financing burden increasing if prices weaken or customers contribute less cash upfront.
Our Base case includes $58.77B of cash capex and $12.46B of new equity during 2027. Those new shares are already included in our targets. We remain bullish after allowing for that financing because we expect the additional capacity to support far more revenue and earnings than the Street estimates in our report.
Thursday’s disclosures will help us judge whether the sites, contracts and financing are progressing as we expect. After earnings, we’ll refresh the data and publish separate Premium models for each individual year: 2027, 2028, 2029 and 2030. Members will be able to follow how the expansion develops year by year, including the revenue, funding needs and dilution along the way.
Our members received this research first, and their support allows us to open selected reports to the wider community. We hope this one gives people something useful to work through ahead of Thursday. The full report is linked in the first reply. Thanks again for supporting independent research.
🤖 Made with AI
Alex A.C. retweeted
China is turning its political system into a strategic advantage by concentrating national resources on science and technology.
The U.S., Europe, and other East Asian economies need to rethink how they compete.
Free-market competition is excellent at fostering diversity, creativity, and disruptive innovation. But it is not always the most efficient way to mobilize limited time, capital, and resources.
This matters enormously in AI, semiconductors, quantum computing, and other capital-intensive industries.
Technological supremacy is no longer just about who invents the best technology.
It is also about who can mobilize capital, talent, infrastructure, and industrial capacity the fastest.
We should preserve the strengths of free markets without ignoring the strategic advantages of coordinated national investment.
The real competition is not simply technology versus technology. It is increasingly system versus system.

































