Ray.NebiusMaxxing 🇸🇬 (@RayT168) header
Ray.NebiusMaxxing 🇸🇬 (@RayT168) profile picture

ALL-IN $NBIS investor since Jan 2025

Singapore
Joined July 2025
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS Office Hours recording for y'all that missed it! We answered tons of great questions and then the Jensen affair dropped... 1. Midterms FUD 2. Bipartisan bill for data centers 3. Clickhouse valuation 4. Asset-lite model 5. and more... Link: youtu.be/2JNvGpHlQFk
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS exited Q3 with 258MW of active capacity If anyone from @nebius is seeing this, feel free to fact-check my numbers (or not). Here's how I got there જ⁀➴ ˎˊ˗ smasimho.substack.com/p/nebi…
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Ray.NebiusMaxxing 🇸🇬 retweeted
🚨 Harwood, North Dakota: Voters overwhelmingly REJECTED new restrictions targeting data centers. The town of just 820 people expects $1.65 MILLION in property tax revenue by 2028, plus 200+ permanent jobs. Harwood's Mayor: “I'm personally very happy to have the data center.”
Voters in Harwood, North Dakota, REJECTED new review requirements for major industrial projects, including data centers, by more than 3-to-1. The town has a $3 billion data center under construction, expected to create more than 200 permanent jobs.
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS Rosenblatt just called the blue wave a "relative non-event" for $NBIS, I 100% agree The two big data center states that flipped were Texas and Georgia. Nebius's biggest planned US expansions? Missouri, Pennsylvania and South Carolina. And even in Texas, the governor-elect says her pause is for future data centers. The ones already approved get to finish, which covers most of what's being built there for 2027. So the stock got dumped along with the Texas names... without actually having the Texas risk… talk about the market being irrational If Texas does slow down new permits, the AI demand doesn't just vanish. It goes looking for powered land somewhere else, and Nebius already has sites in Alabama, Missouri and Pennsylvania.
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Ray.NebiusMaxxing 🇸🇬 retweeted
Past few weeks have been a deleveraging cascade. You have funds blowing up left and right. Walleye, Lone Pine, VARA, and thousands of smaller Leopold dupes (Leopold probably got liquidated a second time). Retail getting margin called or simply weak hands getting flushed out. Leveraged ETFs mechanically amplifying the selloff through continuous rebalancing. Now is not the time to be a headline hostage. You need to know exactly what you own, or you'll be shaken out of some of the best investments by someone else's forced liquidation or misinformed panic selling.
Citigroup CEO Jane Fraser says she does not think this correction will run deeper or longer "I don't think so. I think it's probably time for a market correction at some point" "This is action taken by the hedge funds to de-risk" "The demand behind AI is real... the genie is not getting put back in the bottle here" Fraser said institutions and retail have been quieter than hedge funds in the unwind, and that AI demand is not going away in the next few years ($C $QQQ $NVDA) When the CEO of one of the biggest banks on Wall Street says the correction should not run deeper, that is the tape talking through a bullhorn via @CNBC, featuring @Citi
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS: Really nice visualization ranking inference providers across different dimensions. - S tier for accuracy and models served - A tier for speed - C tier for price (aligned with the other major players in the field) - D tier for day-one support (maybe because most models actually get day-zero?😁 Sounds a bit off) To be fair, Artificial Analysis data cannot capture the full experience or the full suite of features. In Token Factory, sandboxes are still in beta and reinforcement fine-tuning is available as a limited professional service. However, when something is fully released, you know it will be top quality. PS: Great visuals from this profile!
Ranking inference providers six ways
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Ray.NebiusMaxxing 🇸🇬 retweeted
🗣️ Louder for the peanut gallery in the back. I've been hammering this since the midterms: the Blue Wave amounts to NIL for $NBIS. Rosenblatt is leading the charge on this narrative from sell-side crowd. I'll say it one more time. NOW is the time to build abroad, and $NBIS is already there, accelerating its international footprint. We're still in the early innings of the EU's AI Gigafactories initiative, but here's what people are missing. Europe's AI infrastructure buildout goes WELL beyond the EU tender. Look at the Netherlands and Austria. Both are exploring privately financed Gigafactories outside the EU program. And look at what $NBIS has been doing. 🇳🇱 Netherlands: Arkady joined the Dutch AI Infrastructure Think Tank alongside former $ASML CEO Peter Wennink, met with Dutch leadership in The Hague to discuss sovereign AI, and subsequently announced an LOI with VOLT for up to 200MW at its proposed 600MW Rotterdam Gigafactory. 🇦🇹 Austria: Vienna is exploring an independent AI Gigafactory development, and $NBIS has already been linked to a potential 300MW campus. My expectation? A LOT more European site announcements to come. 1. $NBIS could emerge as a winner in the EU's AI Gigafactory selection process, with results expected in early 2027. 2. At the same time, I see $NBIS expanding its pipeline of privately financed Gigafactory projects across the continent, building on its existing VOLT partnership. $NBIS is already Europe's largest dedicated AI Cloud. Its established footprint, operating track record, and relationships across the European AI ecosystem give it a meaningful advantage as countries race to build sovereign AI infrastructure. The opportunity isn't limited to seven EU Gigafactories. And I suspect Rotterdam is just the beginning. Gigawatts to come.
$NBIS Rosenblatt Securities: Blue Wave a Relative Non-Event for Nebius !!!!!!!!!!!!!!!!!!!!!
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Ray.NebiusMaxxing 🇸🇬 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
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Ray.NebiusMaxxing 🇸🇬 retweeted
I’m not sure if I’ve misunderstood everything here. Two days ago, Citrini was reported here to have opened a $NBIS short. Now they’re saying they’re replacing $NBIS with $IREN on the short leg of their neocloud pair trade. So they’re already closing or reducing the $NBIS short? And they’re doing it after just two days, assuming the report wasn’t delayed? And people keep sharing them?
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Ray.NebiusMaxxing 🇸🇬 retweeted
$ORCL FUD spreading to $NBIS and other AI Infra players again. Read the full print. $MSFT doesn't want to renew a deal for A100s LOL. "renting became less useful because it no longer fit the company's specification" "Oracle hardware used older-generation $NVDA chips"
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Ray.NebiusMaxxing 🇸🇬 retweeted
The market is treating a Dem sweep as an existential threat to AI infrastructure. It’s not. Data centres can (and already are) being built outside the US. Hyperscalers have major footprints and active expansions across Europe, Asia, the Middle East, Canada and LatAm. Power, speed of permitting and cost drive site selection more than pure US policy. If domestic buildouts slow, capital will simply reallocate. Global AI compute demand doesn’t disappear because Northern Virginia or Texas gets harder to permit. Latency-sensitive training prefers concentrated clusters, but inference, regional capacity and a large share of workloads work fine abroad. The nutty part is the indiscriminate selling of the whole growth stock complex. High-quality, FCF-positive AI names and infrastructure software companies with multi-year visibility are getting lumped in with pure high-beta, negative-FCF builders that actually do have financing and execution risk. Policy friction in one country ≠ the end of the AI buildout. International optionality is real.
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Ray.NebiusMaxxing 🇸🇬 retweeted
GPU rental prices still rising! Chart: @FundaAI
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RT @TopTechStocksUS: $NBIS There is a lot of talk around about the need of appointing an AI representative to squash the negative rumours t…
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Ray.NebiusMaxxing 🇸🇬 retweeted
Citrini just went short $NBIS (paired with long $ORCL) Meanwhile Nebius customers: Higgsfield $1B run rate, 20x in a year. Cognition $1B, 2x since May. Fal $800M. Baseten 20x YoY Shorting the landlord of the fastest growing startups on Earth. Bold
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$nbis excellent overview of the company.
$NBIS is diversified in at least 7 ways. If you can count all 7 you will sleep well in times like these. Let's see: 1. Across the stack GPU cloud → managed Kubernetes & Slurm → Token Factory inference → post-training (Eigen AI) → GPU snapshots (Inferize) → search for agents (Tavily) → sandboxes. 2. Across countries Finland, France, Iceland, UK, Netherlands, Israel, US. Saudi Arabia next (NEOM, from Q4 2027). Partners now selling in Türkiye, the UAE and Saudi, plus first customers in Asia-Pacific. 3. Across customers Hyperscalers (Microsoft up to $19.4B, Meta up to $27B), AI labs, enterprises, startups and universities. Plus distributors like TD Synnex. 4. Across pricing Multi-year contracts, on-demand, dynamic spot, preemptible, per-token. 5. Across hardware Hopper → Blackwell → Vera Rubin, plus the first cloud on Nvidia's Groq 3 LPX for ultra-fast inference. 6. Across how it builds Owned data centers, leases, self-builds, and an asset-light model where partners bring the capital. 7. Beyond the AI cloud → Avride: robotaxis with Uber and Hyundai in Dallas, delivery robots for Uber Eats. Uber and Nebius committed up to $375M to it last year. → ClickHouse: a reported ~28% stake in a database company valued at $15B in January. Roughly $4B on paper. → Toloka (AI training data, backed by Bezos Expeditions) and TripleTen (tech education). So less dependence on any single customer, country or chip generation. And the stakes double as a funding source: Nebius has framed ClickHouse as an asset to help fund the AI buildout.
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS $NVDA $CRWV $MSFT Modal CEO @bernhardsson gave the clearest explanation of AI margins I've heard. "Almost no company today has software margins anymore." The reason is "almost topological": "You have applications, you have models, you have infrastructure, you have cloud, you have Nvidia. When a customer pays a dollar at the top of the stack, it has to flow through a lot of different layers, and at every layer there's going to be maybe 20%, 30% gross margins." His own long-term target: 40-60%. "We're never going to get to software margins." ELI16: every middleman between your $1 and the GPU takes a cut. Now look at $NBIS. Nebius designs its own servers, writes its own firmware, runs its own cloud, sells its own tokens through Token Factory, and owns some of its data centers. The more layers you own, the fewer cuts you pay. Source: youtube.com/watch?v=1dwyL6Iz…
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Ray.NebiusMaxxing 🇸🇬 retweeted
Citadel in October: Tech companies created an AI bubble reminiscent of the dot-com crash. Citadel in November: “The setup has improved” Earnings continue to beat while AI infrastructure valuations compressed sharply.
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Ray.NebiusMaxxing 🇸🇬 retweeted
$NBIS EU-West2 paying a whopping $13.10/hr in spot price today. This is the highest I have seen so far 🤯🤯
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