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M. V. Cunha
@mvcinvesting
Long-term investor. BSc in Economics, MSc in Finance. Equity Analyst with a focus on Fundamental Analysis and Valuation. Not a financial advisor.
398 Following    95.2K Followers
We need more compute.
$DELL ON AI INFERENCE DEMAND: “Inference has passed training and is pure demand on our industry” Dell expects inference token demand to grow 87x to 3,600 quadrillion tokens by 2030, while training demand grows 5x “Enterprise agentic to be the single largest workload by 2028”
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$WIX is now up more than 130% from its bottom just two months ago. There's still a long way to go, but after getting mocked over and over again for the thesis, this one feels especially good.
Great news for $NBIS!
$NBIS Update: Pennsylvania Gigafactory Phase III zoning is OFFICIALLY APPROVED‼️ I called again and managed to get a hold of the Butler Township Supervisor Chairman Mr. Kessler. We had a nice chat, and he confirmed tonight's ordinances passed 2 to 1. Conversation notes 👇 1⃣ Selection Bias Mr. Kessler told me that out of Butler Township’s ~5,000 residents, only 12 people showed up to tonight’s meeting. Vineland has ~60,000 residents. Maybe 100 showed up to protest at the site amendment hearing. Noise ≠ consensus. The loudest voices are almost never representative of the broader community. Most residents are indifferent, supportive, or just not sufficiently opposed to bother showing up. 2⃣ Butler Township WANTS This Datacenter Kessler told me Pennsylvania is “screwy” right now (with Shapiro), but his view is that datacenters are coming regardless. Eventually, municipalities across the state will be asked to accommodate them. Butler Township decided to get ahead of that. Two years ago, the township passed an ordinance designating where datacenters could be built, deliberately selecting an area along I-81 with substantial separation from nearby residents. Rather than wait for the state to come in and say, “We’re putting a datacenter here,” Butler wanted to already be able to say: “We have a spot.” 3⃣ Noise Study Before the vote, Butler Township commissioned an independent noise study to model the datacenter under a range of operating conditions. Kessler said the analysis incorporated roughly 15 years of local temperature data, because the cooling equipment becomes louder as temperatures rise. He noted that temperatures high enough to push the facility toward its loudest operating conditions occurred only three times over that 15-year period. The study modeled the facility at or near full cooling load during extreme heat, including temperatures approaching the local historical high of roughly 101.7°F. It also modeled how noise attenuates with distance from the site. Kessler said the nearest property owner is approximately 3,500 feet away, and cited modeled levels falling to roughly 52 dBA during daytime, and into the mid-20 dBA range at night farther from the facility. The study gave the board enough comfort to tighten the allowable noise limit from 75 dBA to 65 dBA.
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🚨 ClickHouse's net dollar retention is currently above 200%. 20VC just dropped a fantastic new episode with Aaron Katz, CEO of ClickHouse. A must-listen for every $NBIS investor. Here’s my detailed summary: 1) ClickHouse is growing at an insane pace. The revenue trajectory Aaron shared was: $0M → $12M → $50M → $200M → $500M+ expected this year. He believes ClickHouse can reach $1B in ARR before December 2027. 2) The company could go public as early as next year if it wanted to, but there’s no rush. His goal is to build a company that lasts decades, not optimize around the next financing round or IPO window. He also highlighted some of the downsides of being public today, particularly the volatility and the impact that large stock-price moves can have on employees. 3) Net dollar retention is above 200%. That’s mind-blowing. The reason is that customers tend to start with one workload and then expand ClickHouse into others: data warehousing, real-time analytics, observability, customer-facing applications, etc. That expansion dynamic is extremely powerful. Importantly, gross retention is above 99%. 4) ClickHouse now has 4,000+ customers. Some customers spend tens of millions of dollars per year, while he estimates the midpoint production customer is around $100k. Importantly, AI-native companies still represent less than 12% of revenue. So despite ClickHouse being one of the major infrastructure beneficiaries of the AI boom, there appears to be relatively little customer concentration risk. 5) Enterprise adoption is accelerating. Aaron said sales cycles at large enterprises are compressing significantly. Historically, sales cycles into major financial institutions could be measured in years rather than quarters. Now, companies are adopting new technologies much faster. Open source and product-led growth help here because customers can evaluate, deploy and scale ClickHouse without going through a traditional enterprise sales process first. 6) AI agents could massively expand database consumption. Aaron thinks the database requirements of agentic applications are fundamentally different from traditional software. Humans tend to run predictable reports and dashboards. Agents can simultaneously execute dozens of unpredictable queries across multiple systems. That makes three things increasingly important: Latency. Throughput. Efficiency. One example he gave: Tesla is ingesting around 1 billion events per second into ClickHouse. And unlike humans, agents don’t naturally care about limiting consumption. That means query volumes could explode. 7) Eventually, agents may choose the infrastructure themselves. Today, a developer might ask Claude: “What database should I use?” And Claude might recommend ClickHouse. Aaron expects that eventually the agent itself will provision the entire stack: database, networking, compute, storage, etc. In that world, infrastructure companies won’t just be competing for developers. They’ll also be competing to become the default choice of AI agents. ClickHouse is already benefiting from that dynamic. He said Anthropic told them it chose ClickHouse for a specific observability workload after asking Claude which technology it should use. His long-term goal is therefore straightforward: make ClickHouse the default database for applications built by agents, not just humans. 8) AI is accelerating ClickHouse’s own development roadmap. Internally, ClickHouse’s Anthropic usage has increased roughly 100x since the beginning of the year. He said the company is shipping products faster than ever and entering product categories roughly two years earlier than originally planned. His view on AI coding costs is simple: if product velocity and revenue growth keep accelerating, he doesn’t care much about optimizing token spend today. Especially because inference costs should continue declining. 9) ClickHouse probably underinvested in sales. The company has only around 100 quota-carrying salespeople despite operating at hundreds of millions in revenue. Aaron admitted that, looking back, he should have increased sales capacity sooner. Competitors in data warehousing and observability can have thousands of salespeople. ClickHouse intentionally focused on product, engineering and product-led growth first, following something closer to the Datadog playbook than Snowflake’s enterprise-heavy GTM strategy. Now it's layering a larger enterprise sales motion on top. 10) The company is unusually efficient. ClickHouse has close to 800 employees and expects to reach around 1,000 by year-end. Despite that, it's already generating hundreds of millions in revenue with only ~100 quota-carrying salespeople. Aaron said average sales rep productivity is very high relative to the industry. 11) ClickHouse is already a very international business. More than half of revenue comes from outside the US. Roughly 40% from EMEA, 10% from Asia. More than half of customers are also outside North America. ClickHouse is live in 36 regions around the world across AWS, Google Cloud and Azure. That global footprint is one reason Aaron believes the company can’t operate from just one or two centralized hubs. 12) ClickHouse is also seeing renewed interest in on-prem infrastructure. Aaron said even some highly innovative digital-native Silicon Valley companies are discussing moving parts of their stack away from hyperscalers and back on-prem. That matters because ClickHouse wants to support multiple deployment models: cloud and on-prem/private environments. His view is that forcing enterprises into one deployment model ultimately limits the addressable market. 13) The moat isn’t simply the open-source database. One common investor concern is: “What stops AWS, Google or Microsoft from just offering ClickHouse themselves?” Aaron acknowledges this risk. His answer is that open-source companies need to maintain proprietary/cloud functionality that's sufficiently difficult to replicate. He also says the competitor he fears most isn’t Snowflake or Databricks. It’s the company that doesn’t exist yet. ClickHouse itself appeared seemingly out of nowhere and disrupted established database vendors. He worries about someone eventually doing the same to ClickHouse. 14) ClickHouse wants to become much broader than an analytical database. The company has already completed six acquisitions in four years. The most recent example mentioned was Langfuse, which pushed ClickHouse further into AI agent observability. His framework is interesting: If ClickHouse can build something internally, let engineering do it. If an exceptional team is already building a product on top of ClickHouse in an area that will eventually belong inside the broader platform, consider acquiring them. The ambition is clearly moving toward becoming a much broader data platform. 15) ClickHouse has a very strong balance sheet. Aaron said the company had around $1B on the balance sheet and didn’t actually need the additional capital from its recent financing. That gives ClickHouse plenty of flexibility to keep investing aggressively in product, hiring, M&A and international expansion. 16) Aaron thinks AI infrastructure revenue is more durable than application-layer revenue. He believes the biggest risk when investing in many AI application companies is revenue durability. Applications can have relatively low switching costs. Infrastructure tends to have much higher switching costs once it becomes deeply integrated into production systems. That's one reason he's skeptical of simply extrapolating hypergrowth at some AI application companies indefinitely. For infrastructure, slower initial adoption can actually produce much more durable revenue later. 17) He definitely doesn’t believe AI is a bubble. When asked for a widely held AI belief he disagrees with, Aaron picked the idea that AI is overhyped or simply another temporary hype cycle. “We’re just getting started.” He lived through internet, mobile and social, and says none of those cycles accelerated as quickly as AI is accelerating today. The combination of AI applications, agents and exploding data consumption could create infrastructure demand unlike anything we’ve seen before. FINAL THOUGHTS ClickHouse is incredibly well positioned to benefit from the surge in data consumption driven by AI agents and increasingly compute-intensive workloads. $NBIS investors shouldn’t assume an IPO is imminent. Aaron said ClickHouse could go public as early as next year, but made it clear there’s no urgency to do so. That might actually be the right decision for long-term value creation. If ClickHouse continues executing at anything close to its current pace, I can clearly see a path toward becoming a $100B+ company over the next few years. Any analyst valuing $NBIS without accounting for its stake in ClickHouse is missing a significant part of the picture.
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A few days ago, I came across a very interesting AI healthcare stock that no one is talking about here. I’m really enjoying researching it. Deep Dive coming soon.
It was $CLPT. Now up ~34%.
Re-entered one of my former holdings today.
$NBIS 🚨 OpenAI's usage of ClickHouse has reportedly jumped 10x over the past year, as the company increasingly relies on it for large-scale logging, monitoring, and AI workloads. CEO Aaron Katz said gross margins are around 50-70% and that ClickHouse could become cash-flow positive next year if it chose to. Instead, management plans to keep investing aggressively in growth.
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🚨 JUST IN: ClickHouse has surpassed $350M in ARR, fueled by surging demand from AI agents. Source: The Information $NBIS
It's now clear that $NBIS is targeting Austria for new data center deployments in Europe. Peter Morley, Head of Communications at Nebius, just left this comment on a post from AI Austria discussing the country's AI ecosystem. The post followed a podcast episode with Peter Hanke, Austria's Federal Minister for Innovation, Mobility and Infrastructure.
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🚨 Rumors that $NBIS is eyeing Vienna for a major new AI data center. According to Trending Topics, often described as Austria’s TechCrunch, Nebius is reportedly assessing local AI demand and scouting potential sites after Vienna shelved its EU AI Gigafactory bid. A roughly 300 MW facility is said to be under discussion, which would make it one of Europe’s largest AI infrastructure projects. Nebius declined to comment on Vienna specifically, but confirmed it is continuously evaluating new locations based on power availability, scalability, sustainability and local interests. Still early and unconfirmed, but potentially a major European expansion for $NBIS. h/t @David917S great find!
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NVIDIA today announced that Groq 3 LPX, its interactive AI inference accelerator, is now in full production. $NBIS was named as the first AI cloud to adopt. Groq 3 LPX extends NVIDIA's Vera Rubin platform and is built for ultrafast token generation, targeting agentic AI workloads where latency matters. In Artificial Analysis benchmarking, it reached a record 3,400 output tokens per second running Gemma 4 31B with a 100K-token context, while NVIDIA says it can deliver 4x faster responsiveness for agents and latency-sensitive workloads vs. the nearest alternative platform. Nebius plans to bring Groq 3 LPX to Nebius Token Factory, giving developers access to the accelerator through its production inference platform and existing API.
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Base44, owned by $WIX, just hit $200M ARR, five months after reaching $100M. I was told $WIX was going to die soon. Apparently, it was a certainty. Less than two months later, it’s up 100% from the bottom. Still a long way to go, but that doesn’t make it any less funny.
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$NBIS Avride is significantly expanding its autonomous delivery robot operations across U.S. college campuses. By September, the company expects to have more than 1,000 active delivery robots operating across 25+ campuses, with a potential reach of more than 610,000 students. That would represent roughly 4.5x its previous campus footprint. Avride has already launched on 10 additional campuses this semester, with another 11 expected to go live by the end of September. The expansion is being supported by agreements with the three largest university dining-service providers in the U.S., whose combined networks span around 1,000 colleges and universities.
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Priced, and upsized to $5B. ✅ $3B of 0.5% notes due 2030 Conversion price $313.46, a 40% premium $2B of 4.5% notes due 2034 Conversion price $324.65, a 45% premium Option for an additional $750M If every note converts, that's 15.7M new Class A shares. Against 271.9M outstanding, 5.8% dilution, or 6.7% if the initial purchasers take the full option (likely). The amount owed accretes on a fixed schedule: every $1,000 borrowed becomes $1,100 on the 2030s and $1,250 on the 2034s. So $5B borrowed becomes $5.8B owed at maturity. But interest is calculated only on the original principal, meaning annual cash interest is just $105M. The accretion still flows through interest expense as a non-cash charge, so reported interest expense from the deal will be roughly $250M a year while only $105M actually leaves the bank. Important: the accretion is only paid if the notes are repaid in cash. If holders convert, they give it up. That pushes the effective breakeven conversion price at maturity to roughly $345 for the 2030s and $406 for the 2034s. Separately, $800M of the 2029 and 2031 notes (issued back in June 2025) were exchanged for ~15.8M shares. Those notes convert at $51.45, so they stopped being debt long ago and have been sitting in the diluted count for a year. At that conversion rate, $800M was always going to become ~15.5M shares. The cost is the gap, roughly 250k shares, or about $56M, in return for holders giving up the paper years early. For that, Nebius kills $20M a year of coupons, kills the accretion drag running through interest expense, and removes the tail risk of that principal ever coming due in cash. That's a good trade. Dilution has never been the open question here. The real question is how that capital gets deployed, and the latest earnings only reinforced the continued improvement in unit economics. Overall, I'm happy with the terms.
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$NBIS announces proposed private offering of $4.5B of convertible senior notes. • $2.75B of notes due 2030 • $1.75B of notes due 2034 • Potential for an additional $675M Key terms, including the interest rates and conversion prices, will be determined at pricing.
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$TWST is up ~340% since I published my Deep Dive less than a year ago. One of my biggest mistakes of 2026 was being too picky on valuation and waiting for a lower entry. Part of the process, but this one stings given how much I enjoyed researching the company.
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I just published a new article: $TWST: Investment Thesis Explained A fascinating picks-and-shovels play sitting at the intersection of AI and biotech. I truly enjoyed researching this one!
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$NBIS announces proposed private offering of $4.5B of convertible senior notes. • $2.75B of notes due 2030 • $1.75B of notes due 2034 • Potential for an additional $675M Key terms, including the interest rates and conversion prices, will be determined at pricing.
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DA Davidson raised its PT on $NBIS from $175 to $250.
DA Davidson lowered its PT on $NBIS from $250 to $175. The firm believes the current state of Vineland creates enough execution risk to question the year-end ramp and the company's valuation premium. I've read the entire report, so here are my overall thoughts on the issue: ⬇️ First, let's look at the analyst arguments. 1) The Vineland concern is about the gap between connected power and actual revenue-generating capacity. Nebius needs to scale from ~170MW of connected power at the end of 2025 to 800-1,000MW by the end of 2026, while increasing its ARR from $1.9B in March to $7–9B in December. According to DA Davidson, Vineland is a critical piece of that ramp: the site is expected to grow from ~50MW to 328MW. The firm visited the site and attended the recent public hearing (which was open to the public and livestreamed online, so that's not exactly an edge). Their concern is that permitting has already taken longer than expected, including hearings that had previously been postponed, and, based on the construction progress they observed, they don't believe Vineland currently looks positioned to easily reach 328MW of active power by year-end. There's an important distinction here: Bloom Energy fuel cells are reportedly arriving at the site, so Nebius may still be able to classify that capacity as “connected” by year-end. Davidson's concern is whether the actual data center infrastructure will be ready to turn that connected power into active, revenue-producing capacity quickly enough to support the $7–9B December run-rate target. So their thesis isn't simply “Vineland won't have power.” It's that power availability may run ahead of the site's ability to monetize that power. 2) The PT cut is mostly a valuation-premium argument, not just a Vineland estimate cut. DA Davidson believes $NBIS currently receives a premium because investors view Nebius as the highest-quality neocloud: better execution, a stronger capital structure, a more complete software/infrastructure stack and valuable non-core assets. That reputation has translated into $NBIS trading at roughly 0.98x EV/backlog, versus 0.8x for CoreWeave, meaning Nebius carries about a 21% premium to $CRWV. Their argument is basically this: If Vineland experiences a meaningful delay, it would call into question one of the main reasons investors have been willing to pay that premium: Nebius' perceived superior ability to turn contracted power into connected capacity and ultimately into revenue. Therefore, Davidson believes that if those execution issues materialize, $NBIS should trade closer to $CRWV's valuation, rather than maintaining its current premium. That's the core reason they cut the PT from $250 to $175. They also lowered their financial estimates and are now below consensus, particularly for 2027, while pointing to $NBIS' still-negative operating margins as another reason not to give the company the benefit of the doubt indefinitely. Now, my thoughts. 1) I think Davidson is underestimating the diversification of Nebius’ actual deployment pipeline. Davidson mentioned that, when asked about Vineland, management reiterated guidance and said it remains on track to meet all of Microsoft’s contractual commitments. The analyst also explicitly leaves open the possibility that other sites, higher monetization, or developments not yet disclosed could offset weakness at Vineland. That’s where I think they’re underweighting the evidence. In the report, Davidson includes a table showing what it considers Nebius’ data center pipeline across the U.S., Europe and the Middle East. The problem is that, based on my research and that of other members of the community, I believe that picture is incomplete. There's credible evidence pointing to several additional locations and expansions that haven't yet been formally announced, including Estonia, Wales, Spain, India, Singapore, further UK expansion, etc. Yes, some of them will only be deployed in 2027, but there’s also evidence that some could be deployed as early as this year. I understand why Davidson wouldn’t include unconfirmed locations in a formal research model. But if you’re going to make concentration risk one of the central arguments behind a 30% PT cut, then the completeness of the pipeline you’re analyzing matters a lot. And just as Davidson went looking for evidence that Vineland may be delayed, there's also credible evidence available suggesting that Nebius’ broader deployment footprint is much larger than what appears in their table. This matters because, if Vineland is indeed experiencing some delay, something even Davidson cannot say with certainty, while management is still reiterating company-wide guidance and Microsoft commitments, one plausible explanation is that Nebius has enough flexibility across the rest of its deployment pipeline to compensate for timing issues at a single site. This is also consistent with what management has emphasized before: geographic and portfolio diversification is specifically intended to reduce dependence on any one location and mitigate the impact of individual project delays. Funny enough, Davidson makes essentially the same argument when discussing hyperscalers, writing that they're less exposed to individual site delays because they're diversified across many more locations. If Davidson had visibility into Nebius’ full pipeline rather than only the publicly confirmed portion, I wonder whether they would view that concentration risk differently. 2) A site visit from the outside doesn't tell you the commissioning timeline. Davidson repeatedly emphasizes that it visited Vineland and, based on what it saw, doesn't believe the site can “easily” become 328MW of active power by year-end. That is a relevant observation, and I don’t think it should be dismissed. But there’s only so much you can infer from looking at a data center construction site from the outside. I looked closely at the photos included in the report from the "site visit." They don’t appear to have even entered the parking lot, let alone the facility itself. You can see that construction is ongoing, but you can’t see anything that gives you meaningful visibility into the deployment timeline. So I think calling this a “site visit” gives the observation more authority than the photos themselves justify. What ultimately determines when capacity becomes revenue-generating is the commissioning schedule: energization, electrical and mechanical fit-out, equipment installation, phased activation, and the timing of customer workloads. The report doesn't demonstrate that Davidson has direct visibility into those internal schedules. So a site visit can support the conclusion that execution risk exists. It cannot, by itself, establish exactly when specific MW will become active and monetized. And I think Davidson’s own wording reflects that uncertainty. They don’t say Vineland cannot reach 328MW of active power by year-end. They say they don’t believe the site can “easily” be transformed into 328MW of active power by then. It was never supposed to be easy. 3) There’s a big difference between a delay and a thesis-breaking delay. I’m not dismissing the possibility that Vineland is delayed. Davidson is mentioning a credible execution risk that we all have been monitoring for quite some time. But the real question isn’t whether every MW at Vineland becomes active on the exact originally expected timeline. The real question is whether any delay is significant enough to: - make Nebius miss its 800–1,000MW connected-power target; - make it miss the $7–9B December ARR guidance; - interfere with Microsoft’s contractual commitments; - or materially change the economics of the capacity being built. Those are very different outcomes. Davidson hasn't demonstrated that any of them will actually happen. In fact, again, its own report says management reiterated guidance and said Nebius remains on track to meet all of Microsoft’s contractual commitments. So even if we assume Vineland is running behind schedule, that doesn't mean it's material at the company level. And Davidson’s own estimate revisions suggest they’re modeling a relatively small timing impact. 4) The numbers barely changed. The narrative did. DA Davidson cut its PT by 30%, from $250 to $175. But look at what they actually did to their revenue estimates: • 2026 revenue: $3.36B → $3.303B, a reduction of only ~1.7% • 2027 revenue: $10.604B → $9.874B, a reduction of ~6.9% So this isn’t really a story about Davidson dramatically changing its expectations for Nebius’ underlying business (that's why I said their own revisions suggest only a small delay). The overwhelming majority of the PT reduction comes from multiple compression. Their argument is that, if the execution concerns around Vineland materialize, $NBIS should no longer deserve its current premium and should instead trade closer to $CRWV. Davidson points out that Nebius trades at ~0.98x EV/backlog versus ~0.8x for CoreWeave, and effectively uses convergence toward $CRWV's multiple to justify the new $175 target. But I think EV/backlog is far too simplistic a metric to determine whether two companies deserve the same valuation. Backlog tells you how much revenue has been contracted. It tells you much less about the quality and economics of that backlog: margins, contract duration, CapEx required to fulfill it, financing costs, utilization, revenue per MW, customer quality, or ultimately the returns generated on the capital deployed. Two companies can have the same amount of backlog and that backlog can have very different economic value. That said, I don't want to make this a discussion about $NBIS vs. $CRWV. It’s fair if one believes their multiples should converge. The point is that Davidson itself has historically argued that Nebius deserves a premium because of characteristics that have nothing to do with simply having more backlog: its stronger capital structure, full-stack offering, management track record and valuable ancillary businesses such as its ClickHouse stake. I'm using their words. None of those things suddenly disappear because one facility may take slightly longer than expected. [Not to mention that their PT gives no explicit value to Nebius’ non-core business units.] If Vineland ultimately causes Nebius to miss guidance, fail to meet contractual commitments or proves that its execution advantage was overstated, then I agree some de-rating would be justified. But going from “there may be a delay at Vineland” to “Nebius should effectively lose the valuation premium we previously argued it deserved” is a much bigger leap. Davidson also points to Nebius’ still-negative operating margins and broader uncertainty around the neocloud business model as additional reasons for caution. Those are legitimate risks, but they’re not new ones. Nebius also had negative operating margins when Davidson’s PT was $250. The uncertainty around long-term neocloud profitability existed then too. Overall, the valuation framework seems to fit the typical sell-side analysts’ playbook: use the assumptions that best fit your narrative. FINAL THOUGHTS Overall, I think Davidson mentioned a legitimate execution risk at Vineland, but then used several weak arguments to make that risk look much more consequential than the evidence currently supports. To be clear, I don't really care about the $175 PT itself. An analyst can change a PT very easily by changing the multiple they apply. What I care about is the narrative being built around it. An outside site visit isn't visibility into the commissioning schedule. Vineland also isn't binary, it doesn't have to be either 50MW or 328MW by year-end, as capacity can come online progressively. And while Vineland is clearly important for the near-term 2026 ramp, zooming out, the full facility represents only ~8% of Nebius' >4GW YE2026 contracted-power target. It's also not part of the owned-facility portfolio that represents the large majority of Nebius' contracted capacity and, in my view, matters much more to the long-term thesis. That's exactly why diversification matters. Nebius has consistently built its infrastructure portfolio across sites, geographies and deployment models to reduce dependence on any single project. If Vineland slips by a few weeks or months but other deployments compensate and company-wide guidance remains intact, I don't see that as particularly relevant. The threshold for me is simple: does Vineland cause Nebius to miss its connected-power guidance, the $7–9B December ARR, or Microsoft's contractual commitments? So far, we have no evidence of that. Management has actually reiterated all of those commitments Davidson asked about. And that's ultimately my issue with the report: the risk is real, but I think the conclusion is much stronger than the evidence. The financial estimates barely changed, while the PT fell 30% through multiple compression and previously known bearish arguments suddenly received much more weight. Fortunately, we should get much more clarity next week with earnings. To me, this remains exactly what it was before this report: a short-term risk worth monitoring, not a reason for me to change the thesis. I’ll publish my full preview of next week’s earnings over the weekend.
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Vineland Planning Board approves $NBIS' site plan. Just like management told us would happen last week. Let them cook.
Isn’t it hilarious that just a month ago, some investors were freaking out over a misleading headline claiming $META had “excess AI compute”?
16 months later, Higgsfield AI has gone from $0 to $700M in ARR, scaling with $NBIS from day one. The company just raised $400M at a $5.4B valuation. Pretty amazing to have followed this journey literally from the beginning. Hats off to Alex and the team!
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As a $NBIS shareholder, I really love this. Higgsfield AI is one of the best AI video tools out there, and in this short interview, its Founder explains why they chose $NBIS over other GPU cloud providers. 👀 Key takeaways: - Nebius is very friendly to start-ups. If you talk to developers off the record, you'll often hear that larger cloud providers have unclear terms, while Nebius offers full transparency and fair terms with its on-demand GPU offering. As I explained in my previous article, this is particularly attractive for start-ups and smaller developers because they can't predict exactly how their workloads will change. "Nebius has much better flexibility than any other cloud." - Larger cloud providers typically aren't interested in start-ups — they prefer higher-volume customers. "Nebius provides infrastructure and reliability at the same level as Google or Amazon." Again, just like I said in my last article, hyperscalers are not a threat because they often serve different needs. - Nebius uses a pay-per-token model, and the AI Studio is highly versatile in terms of model offerings, supporting everything from ChatGPT to DeepSeek and other LLMs. - It's very easy to work with Nebius. The team is highly responsive, unlike larger cloud providers. - "Nebius' flexibility, combined with its strong support, will likely attract many media companies." - Other cloud providers have lengthy agreements — sometimes up to 200 pages — while Nebius keeps it simple with 3-5 page contracts. Transparency matters. - Most cloud providers require commitments for a fixed number of GPUs per year, which most start-ups can't handle. Nebius, however, offers resource-based commitments, where a minimum spend unlocks discounts instead of requiring a set GPU quota. - Nebius provides a level of customization and flexibility that no other cloud provider offers. Long $NBIS.
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Just noticed my articles have already crossed 1M+ views YTD, and we're still only in August. Pretty surreal. I'm really grateful for how much my life has changed over the past couple of years. Onwards! 🥂
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