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Given the GIGA AMOUNT of fud and nonsense spread the past weeks bc Tech Market (AI names and related) is dropping AGAINST all the Fundamentals and Guidance, a chart to remember in the future to LOL at it.
You know my recommendation, don't fall in the stupidity and fear
Even more inflation in top of the housing inflation 😌
You want "cheap" housing? You'd better learn what means <<cheap>> in this new context (post-2020 era; Fiscal dominance; countries > 100% GDP in debt; self-destructive Laws against Energy; etc. etc.)
Buy scarce assets or...
$OTIS Otis CEO: Data centers and industrial reshoring are displacing residential construction as higher-value equipment demand drivers
"We're selling high-value units there that now are in our orders that will become -- and now our backlog when you look at fabrication facilities, factories, data centers. And that is overtaking some of the lower -- more volume business, but at a lower -- obviously, lower price point for what we call residential apartments, condominiums."
I post the above, and shortly later pops up this post 🤣 By the comments, there are a lot of ppl that must learn what means "cheap" as I commented 😆
teapaw.org/unusual_whales/status/…
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Not talking about the nonsense the clown Media wants, and not talking about private lives.
But sharing fun 😆
And remember, I'm bullish almost everything AI-related, you know the names 💪
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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.
$NBIS
"An 82% contract margin and a 17% net margin can describe the same business[...]Below EBITDA, the bill is substantial [strong Depreciation & Amort.]"
"[We value the company]at x25 core earnings"
In a mature stage, that margin with a little growth can sustain a x25 mult.
Replying to @InvestNorthwise
Our full Nebius 2027 report, now free to read, with all price targets and the assumptions behind them:
northwiseproject.com/researc…
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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
😱🔥🔥 GPU rental prices being the inverse of the stock Market ones😆
If the "AI cancellation" means that, give me more cancellations 😂
$NBIS 🚀
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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.
Alex A.C. retweeted
$LITE CEO Michael Hurlston addressed the 45% selloff today.
On demand, he said “There’s a massive disconnect between what we’re seeing in our demand book and what the markets are showing. Our demand couldn’t be stronger.”
Asked whether the market reaction gives him pause on $MRVL as the buyer, he said “We really like Marvell. We think they’ve got a lot of upside from where they are, and that’s part of the reason we took all stock.”
He admitted “the timing was bad” but didn’t back off. “Our board of directors never considered anything but taking all stock,” citing diligence on Marvell’s books and design wins.
On getting the deal closed, targeted for 1H28: “It’s going to be a bumpy one.” He named regulatory approval as the biggest hurdle left.
$LITE $MRVL
Alex A.C. retweeted
Mohnish Pabrai: "If you've got a spectacular winner, it's going to take care of itself even with a small position size — as long as you don't trim."
"We don't need to go all-in with a big conviction [from the start]. The winners are going to get there. No matter where they start out, they'll get there. Just be relaxed and patient and they'll be fine." (h/t @TIP_Network)
Alex A.C. retweeted
Charlie Munger: "It takes character to sit with all that cash and to do nothing. I didn't get to where I am by going after mediocre opportunities."
Great opportunities are rare. FOMO makes mediocre ones look great & tempts you into moves you'll regret.
FOMO is temporary. Regret is forever.
Applies for almost ALL the AI names ⬇️ (see my pinned post)
$LITE $MRVL
- CEO states underlying demand remains robust despite significant stock price decline
- Disconnect between business fundamentals and market sentiment suggests potential valuation opportunity
> The CEO's statement reveals a gap between operational strength and stock performance, suggesting the sell-off may be driven by macro concerns or sentiment rather than fundamental business deterioration.
> This could present a buying opportunity for investors who believe in the underlying demand dynamics.
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Short but key post. AI needs REFERENCES, tags, call it as you want.
Once that job is done, it will be like to open the gates. And short after should come the Physical AI..... All those steps after steps.... not even made on purpose to control the tight Supply-Demand 😅
Folks aren't ready for what is coming in in storage, driven by agents, as enterprises scale AI.
When that 80% of unstructured data gets structured, indexed, and becomes contextual, it's a bold new world for enterprises.
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- GPU rental rates 📈📈 non-stop
- Michael Burried new job
You see the connection? 😉
$NBIS $GOOGL $AMZN $NVDA
[chart from @silicondata ]
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Alex A.C. retweeted
One detail from our latest RL work that I love:
The team nearly doubled inference-engine throughput in a benchmark… and the RL training step didn’t get any faster.
The time saved on model calls was lost in the sandboxes.
In another job, fixing our own CPU serving code saved 444 seconds per training step.
These are the details that make systems engineering so interesting. The next big gain can be hiding in request handling, sandbox setup, or how stages overlap, and every successful change can move the bottleneck somewhere else.
Our team built an internal auto-tuner to make that process repeatable: profile, forecast, test, measure again.
Across four models and two workloads, the best configurations delivered 1 to 5x faster RL steps on fixed GPU budgets, with a median speed-up of about 3.5x
@kingsquare2, @Mhr1036 and I wrote up how it works, where the gains came from, and the experiments that surprised us.
Really glad we’re sharing the engineering behind this.
- Not only GPUs, but now even CPUs have resale value LOOL
- Useful life of GPUs is much longer than Market realizes (sorry Michael Burried, your ""insights"" were rather wrong 😆)
$NVDA $AMD $NBIS
What is a GPU worth years after it ships?
At NVIDIA GTC Berlin, I sat down with Thomas Galbraith of Barkr on resale prices, rental rates, useful life and the valuations behind compute financing.
Full interview below.
Chapters
00:00 Opening highlights
00:26 Thomas Galbraith at GTC Berlin
01:03 What Barkr does
02:18 How do you value compute?
03:06 Valuations from resale transactions
03:48 Rental rates versus resale prices
04:37 CPU comparisons and forward valuations
06:07 Methodology, transparency and public comps
06:53 NVIDIA, AMD and other hardware
07:46 The aviation analogy
09:25 Useful life and market expectations
10:22 Financing and the data gap
12:08 Pricing risk and closing thoughts
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