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Independent investor focused on concentrated conviction and asymmetric opportunities. NFA

United States
Joined August 2025
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Lando retweeted
Horizon 1: delivered. IREN has delivered Horizon 1 to Microsoft and achieved NVIDIA Exemplar Cloud status on NVIDIA GB300 NVL72. Read more: iren.gcs-web.com/static-file…
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Finally, our intel from Dennis was true! $IREN got the exemplar from NVIDIA for the GB300🔥
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No really. THIS IS IT! It could not get more obvious. $500B of third-party capital for the buildout of "AI Infrastructure" over time. IREN is at the epicenter of NVIDIA's plans to accelerate the deployment of AI infrastructure. NVIDIA (NASDAQ: NVDA) and IREN Limited (NASDAQ: IREN) (“IREN”) today announced a strategic partnership to accelerate deployment of next-generation AI infrastructure. NVIDIA and IREN will collaborate on deployment of NVIDIA accelerated compute in DSX AI factories to expand access to AI-native, startup and enterprise customers. Today's announcement: “NVIDIA has reached an important milestone. We began by building chips; today, we are helping create a new class of productive, investable infrastructure: AI factories,” said Jensen Huang “As our strategic partner, NVIDIA is enabling us to scale AI factories. We are excited about further collaboration to build and fund the backbone of AI globally,” said Bruce Flatt, CEO of Brookfield “The AI buildout will require unprecedented investment and a skilled workforce to turn that investment into the infrastructure that will help power future growth,” said Larry Fink, Chairman and CEO of BlackRock We continue to be enormous investors globally across the NVIDIA ecosystem, and this announcement further underscores our confidence in their platform and the future of AI infrastructure.” Jon Gray, President and COO of Blackstone THIS. IS. MASSIVE. FOR. $IREN.
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$IREN: Generational Buying Opportunity? Even after today's incredible market recovery, $IREN is still down nearly 50% from its local highs made in June. There is no doubt that this has been one of the most vicious sell-offs in the company's history. The question any rational investor should be asking at this point is whether the drawdown is justified. Is the market getting this right, or is it mispricing something and presenting investors with a significant opportunity? While it's true that $IREN has been underperforming its peers this year, the honest truth is that most AI and data center related stocks have been sold off aggressively over the past few weeks. Some of it comes down to valuations getting stretched, but a lot of the market-wide panic traces back to a couple of catalysts that spooked investors out of high beta AI stocks. The first that comes to mind is the recent release of Kimi, a Chinese open weight model that's knocking on the door of the frontier, roughly one generation behind in capability. To me this is a DeepSeek 2.0 moment, plenty of panic with little substance behind it. It's true that broader adoption of open weight models threatens the market position of the frontier labs, which have enjoyed extraordinary growth curves so far. But it is by no means a bad thing for hardware makers or cloud providers like $IREN. After all, end users still have to run the model somewhere, meaning on a cloud provider's servers built from AI hardware. If anything, the commoditization of the model layer is a great thing for the companies upstream of it, as cheaper tokens lead to greater adoption of AI (think Jevons paradox). The second scare, and the most recent one, is more nuanced. On Monday a report claimed that a Shanghai-based, state-backed firm has begun mass-producing homegrown DUV lithography machines, the deep-ultraviolet immersion tools ASML has dominated for years. $ASML fell as much as 8% intraday, and a lot of AI stocks went down with it. I have since read plenty of reasonable takes from people far more knowledgeable on lithography than me. Some argue $ASML retains a significant lead for many years to come. Others point to China's track record of commoditizing high-end tech, pressuring the pricing power and market share of Western competitors, and argue it's only a question of time until they catch up. As an $IREN investor, the eventual outcome is pretty much agnostic to me. It's either neutral or potentially even positive. If China stays behind the frontier of DUV lithography for another decade, it's a non-event. If they catch up quickly, then if anything it should be read as a positive for anybody downstream of the hardware sellers. Cheaper hardware directly reduces the capex a cloud provider needs, which is already a positive on its own. But push the thought further and ask what happens with the cost savings from cheaper hardware. This is a topic explored at length in our recent deep dive; The Golden Age of Neoclouds. In a typical competitive market, those savings get passed down to the consumer, making it a neutral event for cloud providers. That only holds, however, if market participants can deploy enough of the cheaper hardware to compete the savings away through undercutting. I've argued in the report that the primary constraint heading into the end of this decade becomes access to power, and with it the ability to bring data centers online at scale. The end result is that market forces, constrained by data center supply, will lead to most upstream cost savings consolidating at the cloud layer instead of passing through to the end consumer. Users still benefit from token costs falling through technological improvements, but hardware prices coming down is primarily a gift to cloud providers, at least until the power bottleneck lifts, which won't be for a very long time as I've argued in detail in the deep dive. So to sum up, China getting into DUV lithography is either neutral or positive for $IREN. For some semi-related companies it's either neutral or negative, which makes the sell-off more rational as it relates to them. So why is the market selling off the entire AI sector without caring about the nuances of how these events hit individual companies differently? For one, markets rarely behave rationally. After a hot run, any negative-sounding news becomes an excuse to sell, and often to sell everything and ask questions later. Many investors also generalize instead of thinking impacts through the way more sophisticated ones do. And the AI industry being young and not yet well understood, with a limited track record, adds to the pile. In any case, this has produced what I consider a generational buying opportunity in $IREN (NFA, of course). Today the stock trades at ridiculous levels relative to the company's fundamentals. By the end of next year $IREN will have over 1.2 GW of data center capacity online, which should support ARR comfortably above $12 billion. Ironically, $IREN trades at a market cap of $12b today. Let that sink in… I also get the concerns about profitability and dilution, but as someone who has done extensive modelling on this, I consider both fears overblown. $IREN's most recent deals with $NVDA and AI-native enterprises carry very attractive project-level margins of over 25%. That accounts for guided COGS, depreciation of both the DC infrastructure and the GPUs, financing costs, and a hypothetical 21% tax if these projects were taxed in isolation (which they aren't, of course). This gives a good picture of where $IREN's net income margins trend as the company scales. Management is investing heavily into branding and talent right now, but those expenses won't rise anywhere near as fast as the megawatts coming online, so operating leverage does the rest. Today $IREN holds about 5.8 GW of secured power across a rapidly growing powered land portfolio. Once fully built out, that should comfortably carry $50-$60b in annual revenue. At net margins around 20%, which I deem a realistic long-term target at that scale, you're looking at $10-$12b of net income. I believe $IREN is roughly 5-7 years away from that point. Given the tremendous earnings growth the path implies, multiple consecutive years of more than 100% growth, a PE of 50 would be very fair, if not conservative. That implies a market cap of $500-$600b. The way I see it, the opportunity couldn't be more clear. Even accounting for massive continued dilution, say outstanding shares more than tripling from today's levels, we're still looking at a share price around $500 in a relatively short timeframe. And on dilution specifically, model out the pipeline and you'll notice the need for it diminishes over time as operating cash flows scale, all of which can and will be reinvested into growing the pipeline. $IREN is currently in what I consider phase 1 of a decade-long growth spurt, with operating cash flows still tiny relative to where they'll be a few quarters from now, so the need for equity raises is at its highest right now and should gradually level off as revenue-producing capacity comes online. Long story short, dilution isn't something I lose sleep over. It primarily comes down to whether $IREN delivers on the buildout of its powered land portfolio, which I believe they will given their track record. The other factors I watch closely are competitors' ability to bring compute online and the useful lifespans of GPUs. Luckily both are trending in the right direction, with power scarcer than ever and GPU lifespans extending well beyond what most initially expected. TLDR: As someone invested in the stock since $4.8, I believe $IREN today trades at one of the most attractive valuations in the company's history, especially on a risk-adjusted basis. Thank you for reading, cheers! ✌️
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The VIX is finally showing its true colours. A massive breakout on the VIX is exactly what gives you the violent volatility spike you need for the broad market to put in a real bottom. But keep this in mind: $QQQ is already down 12% off the highs, meanwhile the VIX is only sitting at 20. That means there is a lot more pain that can come first before this liquidation is over. And believe me, when that real capitulation spike happens, it is going to feel like the End of the World. But that extreme fear is exactly what is needed to clear out the leverage and reset the cycle.
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SUMMARY OF FED DECISION (7/29/2026): 1. Fed leaves rates unchanged for the 5th straight meeting 2. Fed votes 9-3 to hold benchmark rate in 3.50%-3.75% zone 3. Hammack, Kashkari, and Logan dissent in favor of rate hike 4. Fed says economic activity is expanding at a "solid pace" despite uncertainty 5. Fed says job gains have "kept pace with the workforce" 6. Fed says it remains committed to its 2% inflation goal The longest Fed pause since the 2008 cycle continues.
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TRUMP: "WE'RE GOING TO BEAT THE F****** S*** OUT OF IRAN" well, I think a ceasefire might be off the table for now
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I don't usually do these long posts, but I think it's important everyone has the full pic from my POV. Whoever owns the compute owns the future. If you're wrong, you overbuilt a shit ton of DCs and destroyed a lot of capital. If you're right, you own the infra powering the biggest technological shift in history. The bull case is simple: Agents explode inference demand, token prices keep falling but usage grows way faster, and the cost of being left behind is existential. The bear case is just as simple: AI gets commoditized, prices collapse faster than demand grows, customers won't pay enough to justify the capex, and hundreds of $bns end up earning utility returns instead of software returns. Frontier GPUs can lose economic relevance every 2-3 yrs while traditional cloud gear stayed useful far longer. That depreciation gap is a huge part of the argument and shouldn't be handwaved away. But focusing only on ROI misses the bigger point. There are 3 buyers that matter. 2 can't afford to wait for the ROI to be obvious. The 3rd has barely started spending. 1. Hyperscalers: $MSFT, $GOOG, $META and $AMZN see the same falling token prices, the same capex, the same skeptics. They're accelerating anyway bc none of them can afford to blink first. If Meta slows and Google doesn't, Meta could lose the next computing platform. Being wrong means wasted capex. Being the only one who underbuilt means irrelevance. 2. Sovereigns: No serious country outsources its intelligence layer. The US, China, Europe, India and the Gulf all want their own models, compute, data, power and security stack. That's defense budget logic, not investor logic. Nobody cancels a strategic program bc the IRR looks thin. 3. Corporates: IMO this has barely started. $PLTR Karp's point is right. The gap won't be between AI co's and non AI co's. It'll be between co's that actually rebuild around AI and co's that let ppl vibe code a few internal tools, buy Copilot, run 3 pilots and call it transformation. Once agents replace real labor and run real processes, inference demand doesn't grow neatly, it explodes. Open source is where I think most ppl get this wrong. Everyone sees cheaper models and assumes bearish. It's def bearish for model margins. It may be massively bullish for compute. Cheaper intelligence gets used by more people, in more products, for more tasks. Satya called it Jevons and I think he's right. Margins move down the stack while demand moves up. The honest bear case isn't that AI is fake. It's telco in 1999. Everyone knew bandwidth demand would explode and they were right. Every carrier saw price per bit falling and built anyway. Most of that capacity went dark and investors got smoked. The demand did show up, just ten yrs late, and the people who bought it out of bankruptcy made the money. Smart money moving together isn't proof. Sometimes everyone sees the same future and still overbuilds it. I know that risk and own it anyway. The depreciation risk sits mostly w/ whoever owns the chips and far less w/ whoever owns the site, power and lease. That's part of why I want exposure to both. I'd still rather own the infra than the models. Models leak, researchers move, papers publish, open source catches up. Compute, power, substations, networking, cooling, land, permits and supply chains don't appear overnight. Model margins can get competed away in months. Contracted MW stays scarce for yrs. That's why I own $IREN, $NBIS and $NUAI bc even if model economics compress, the HS arms race, sovereign buildout and corporate adoption still drive a shit ton of demand for the infra underneath. This is going to be violent both ways for a long time. There'll be drawdowns that make you question all of it and rallies that make you feel like a genius. Both are noise. There'll be huge winners in models, applications and robotics too, I just can't tell you which ones yet. What I can tell you is they all have to be powered somehow.
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For two days in July, Paris held the people deciding how the next era of technology gets built. 9,000+ attendees from 90 countries. 350+ speakers. 200+ sponsors. 822 CEOs. 80%+ of participants at C-suite or decision-making level. 168 Fortune 500, CAC 40, FTSE 100, DAX and S&P 500 companies represented. Over $600B in AUM in the building. Leaders from @Google, @Meta, @Lovable, @OpenAI, @Broadcom, @MistralAI, @IREN_Ltd, @cognition, @FireworksAI_HQ, and hundreds more were on the floor and on the stage, setting the agenda for the next decade of AI. @mcuban, @ylecun, @sk7037, @arthurmensch, and @manojnair among the voices that defined the programme. The verdict from the room speaks for itself. "The size of the conference has tripled since last year, and the calibre of speakers has actually improved. And so, it's literally the best AI conference in the world." — Helena Chao, @BankofAmerica. "There is so much room for success, and the need for collaboration is going to be significant. And I think that's going to really take an ecosystem. There's not going to be any one company, Google included, that can solve the problems up and down the stack. So it's going to require tremendous collaboration to make it all happen." - @AminVahdat, @Google Amin is right. No single company solves the stack. Which is precisely what RAISE was built for, not an audience, but a working floor. A room where the people who fund, build, buy and deploy actually meet: thousands of one-to-one meetings running alongside the programme. The stages set the agenda. The tables around them set things in motion. Thank you to every speaker, sponsor, partner, and attendee who made RAISE Summit 2026 the room where the industry comes to decide what happens next. A huge thank you to our partners at Final Chain Films, who documented every moment the way it deserved to be captured. And the room is about to get bigger. RAISE Summit is joining @hyve_group, the formula that built one of the world's most influential technology conferences in three editions now goes global. The 2026 summit ended. What it set in motion didn't.
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Replying to @Agrippa_Inv
@Agrippa_Inv inspired this post with his sharp breakdown of $IREN’s new contracts. The Roberts brothers are first-principles strategists of rare caliber. Few fully grasp the depth and coherence of what they’re building or how deeply they care about the longer-term impact on humanity. From day one, they pursued full-stack ownership: converting low-cost renewable energy into high-value compute. Bitcoin mining served as the bridge to AI Cloud—what Jensen Huang calls AI Factories (as do I). IREN’s AI Factories will rank among the best the world has seen. While hyperscalers still control larger overall power footprints today, much of that capacity sits in older data center designs nearly useless for true AI Factories. IREN stands out with one of the largest and fastest-growing pools of new power capacity and purpose-built data centers specifically available for AI Factories. That is just the starting point. What truly sets them apart is deep vertical integration (power → land → data centers → GPUs → software), purpose-built data center designs refined through in-house modular construction and operational expertise, and the rapid co-evolution with NVIDIA. Select partners get access to NVIDIA’s incredible capabilities, but they lack everything else that enables it at scale. Together, IREN and NVIDIA are using AI-driven digital twins (NVIDIA DSX Air) to simulate, validate, and optimize massive GPU clusters, network topologies, workflows, and operations before a single rack is powered on. These are the sites where major breakthroughs will happen, with real progress already underway as Microsoft, NVIDIA, Perplexity, Figure AI, Together AI, Fluidstack, Fireworks AI, Fal AI, Hume AI and another leading AI developer advance frontier models, robotics and scientific discovery on IREN’s infrastructure. I first saw their vision clearly during the 2019/2020 PodTech merger into IREN (I was a co-founder). It was a masterstroke that brought critical data center design and operational expertise in-house at exactly the right moment. They’ve compounded steadily, scaling sites and vertically integrating the full stack, now amplified by AI-driven digital twins and NVIDIA tools. The result is some of the most efficient, highest-performing AI infrastructure available. Agrippa’s sharp breakdown of the new $2.8B contracts highlights economics most investors are still underestimating: likely ~$4.00–4.30 per GPU-hour on shorter ~2.3–2.5 year durations (vs consensus ~$3.60 and 3 years). The mix looks deliberate—higher yields, faster payback, 85%+ EBITDA margins, and flexibility to capture rising prices while diversifying the customer base. Year-end ARR should comfortably clear the $4B floor. This is classic Roberts playbook: foundational moves, long-term optionality, relentless execution. The same discipline that made the PodTech merger brilliant years ago is now driving superior economics the market continues to underappreciate. That’s not a one-off. That’s compounding at scale. I want my IREN share price to rise short term like everyone else, but I’m willing to trade that for long-term share growth and the massive benefits of IREN’s AI Factories. Playing even a small part in what the Roberts brothers are building feels genuinely meaningful, and we as investors should feel good about supporting something this important. The rest of the market will catch on soon. Until then, we get the rare chance to own something truly special while it’s still underappreciated. $IREN
$IREN New Contract Economics I have seen a lot of discussion on $IREN's new $2.8b of AI Cloud contracts, and I believe most people are underestimating just how attractive these contracts are. The most common assumption I've come across is that the new contracts have an average duration of roughly 3 years and generate around $3.6/GPU-hour. I believe the available evidence points elsewhere. Management didn't disclose the exact contract economics. However, they provided enough breadcrumbs throughout the announcement that we can reverse-engineer them with a surprisingly high degree of confidence. Here is the new information we got: - Combined value of new contracts: $2.8b - New year-end ARR guidance: over $4b - 85% of the new guidance has been contracted - Weighted average contract duration across $IREN's portfolio: ~4 years - Prepayments of new contracts amount to 45% of GPU related CAPEX Previously known information that remains useful: - New contracts are for a portion of the 50k B300 units that are being installed at Mackenzie & Childress this year - The recently signed $3.4b contract with $NVDA has a 5 year duration, paying ~$3.77 per GPUh - $MSFT accounts for $1.93b of year end’s ARR - PG accounts for $500m of year end’s ARR The reason many investors arrive at roughly $3.6/GPU-hour is because they assume $IREN's year-end ARR will be exactly $4b, even though management guided to over $4 billion. Starting with a $4b ARR target, they subtract Microsoft's ~$1.93b ARR and Prince George's $500m ARR, leaving roughly $1.57b of ARR attributable to the 50,000 GPUs being deployed across Childress and Mackenzie. $1.57b / 50,000 GPUs / 8,760 hours = ~$3.6/GPU-hour. The same assumption also leads to the commonly cited ~3-year contract duration. If total ARR is $4b, then 85% contracted equals $3.4b of contracted ARR. Subtract Microsoft's ~$1.93bn ARR and Prince George's $500m ARR, and you're left with roughly $970m of ARR for the new $2.8b contract cohort. $2.8b / $970m = ~2.9 years, which gets rounded to ~3 years. The issue is that both conclusions depend on treating “over $4b” as though it were exactly $4 billion. Once that assumption is removed, both the implied contract duration and the implied $/GPU-hour would sit higher than that. All we know for certain is that the new contracts are collectively worth approximately $2.8 billion. This means that the longer their duration, the thinner the attributable ARR becomes. There is another variable that most investors appear to be ignoring: management stated that the average contract duration across $IREN's entire portfolio is now “approximately 4 years”. Importantly, management did not limit that statement to capacity commencing this year. It was framed as applying to the entire contracted portfolio, which should therefore include the recently signed $NVDA contract, as well as $MSFT and Prince George and the newly signed $2.8 billion cohort. That allows us to work backwards and estimate how long the newest contracts would need to run for the overall portfolio average to land at ~4 years. We know the value and duration of the Microsoft and NVIDIA contracts precisely: Microsoft is worth $9.7 billion over 5 years, while NVIDIA is worth $3.4 billion over 5 years. We also know that Prince George represents $500 million of ARR, although IREN has not disclosed the average contract duration of that cohort. Fortunately, my good friend @_Sgr_A_Star recently analyzed $IREN's latest 10-Q and used the quarter-over-quarter change in remaining performance obligations to estimate that the newly commenced Prince George contracts have a duration of roughly 3 years. I independently verified the analysis and believe that is a reasonable assumption. Including the older contracts still running at Prince George, I estimate the entire Prince George portfolio carries a weighted-average remaining duration of ~2.7 years. At $500 million of ARR, that equates to ~$1.35 billion of remaining contract value. Microsoft, NVIDIA and Prince George therefore represent ~$14.45 billion of total contract value against roughly $3.12 billion of annualized revenue. That implies a weighted-average duration of approximately 4.6 years before including the newest $2.8 billion cohort. For the entire portfolio to then land at management’s stated average of approximately 4 years, the newest $2.8 billion cohort would need to average ~2.35 years in duration. That would imply ~$1.19 billion of attributable ARR ($2.8 billion / 2.35 years). Adding that to Microsoft’s & PG’s ARR results in approximately $3.62 billion of contracted ARR that counts toward this year’s year-end ARR guidance. Management stated that roughly 85% of its expected year-end ARR was already contracted. If $3.62 billion represents that contracted 85%, it would imply a total year-end ARR of ~$4.26 billion. We can then subtract the $1.93 billion attributable to Microsoft and the $500 million attributable to Prince George, leaving $1.83 billion of implied ARR for the broader 50,000-GPU fleet. Spread across 50,000 GPUs and 8,760 hours per year, that translates into ~$4.18 per GPU-hour. This is notably above the $3.60 per GPU-hour figure most people are anchoring towards. The honest caveat is that management described the 4 year weighted-average contract duration as an approximation. How much leeway they allowed themselves is impossible to know. Under the lower-yielding, roughly 3 year assumption for the latest cohort, the weighted-average duration across the portfolio comes out to ~4.22 years. Technically, that still rounds to four years, so it could reasonably be viewed as fitting management’s description. Here is why I believe the $4.18/GPU-hour and 2.35-year outcome is closer to reality than the alternative. First, as I have repeatedly noted, the $3.60/GPU-hour / 3 year estimate is derived by treating management’s “over $4 billion” year-end ARR guidance as exactly $4 billion. We already know that is not what management said. If anything, $3.60/GPU-hour should therefore be viewed as the hard floor. Another factor pointing toward a materially higher GPU-hour rate is a recent note from Needham analyst John Todaro, published after a call with $IREN's IR team shortly after the latest contract announcements. In that note, he stated that the newest cohort of contracts was priced above the NVIDIA agreement, which came in at ~$3.77/GPU-hour. We cannot know whether that was his own inference or whether management gave him an additional piece of information. But it is difficult to see how he could state that with confidence without some degree of management confirmation. Purely from a commercial perspective, it would also make little sense for the NVIDIA contract to yield more than the newer deals. The NVIDIA agreement is at least 2 years longer in duration and is backed by one of the most creditworthy counterparties in the world. Lower counterparty risk and longer duration should result in lower pricing, all else being equal. The NVIDIA contract is also significantly larger than any individual agreement within the $2.8 billion cohort, and economies of scale should place additional downward pressure on pricing. It is true that the NVIDIA contract includes managed services, while we do not know how much of the newest cohort consists of bare-metal capacity versus Mirantis-managed services. But that incremental service component should not outweigh the combined impact of materially longer duration, lower counterparty risk and greater scale. TLDR 👇 I believe management deliberately chose to sign a mix of higher-yielding, shorter-duration contracts. That would make strategic sense given that GPU-hour pricing is rising across the market and $IREN's previous contract mix was heavily skewed toward lower-yielding, long-duration agreements. Management has also made it clear that it wants a diversified customer base and a broad mix of contract structures. This latest cohort appears to fit that strategy. A roughly $4/GPU-hour rate on the newest contracts would allow the underlying GPUs to be fully paid off and even generate a modest hardware profit by the time the contracts expire approximately 2.5 years later, even after assuming gross operating expenses equal to 15% of revenue, or roughly 85% project-level EBITDA margins (previously guided). This also raises the question of why management chose to guide to “over $4 billion” rather than disclose the precise year-end ARR figure it is currently targeting. My view is that management intentionally left room to come in comfortably above the $4 billion level investors will naturally anchor to. The remaining contracts still need to be finalized, so maintaining a buffer instead of publishing the exact figure they are trending toward is prudent risk management. It reduces the chance of missing a closely watched year-end target due to timing or execution slippage. My current estimate is that year-end ARR will land between $4.1 billion and $4.3 billion. That would imply the recent cohort of contracts is yielding roughly $3.80 to $4.30 per GPU-hour. Thanks for reading, cheers! ✌️
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Lando retweeted
After reviewing this chart by @BenBajarin I’ve become even more bullish on $IREN and the AI compute thesis If you look closely there are 5 companies with more GW than IREN, of which all of them are hyperscalers @creativestrat also sees IREN having ~4.5-5 GW operational by 2028-2029 This is more than Coreweave, Nebius, Cipher, Wulf, Hut, and more importantly very close to Oracle + Microsoft ($ORCL $MSFT) The need for compute is vast and the hyperscalers, no matter how much funding they have, cannot build fast enough. That is the neocloud thesis, well done Ben + team!!
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Macquarie Equity Research published a note on July 13th, which had an interesting point: "The market debate is too binary. Bears focus on supply growth, pricing pressure and token deflation, while bulls focus on extreme demand. We think the better framing is that short-term performance remains demand driven, but through the cycle business quality will matter. Winners will have stronger supplier access, better architecture, more durable customers, disciplined financing and lower refinancing and obsolescence risk. " 7/20: Enter $IREN - $NVDA preferred supplier, B300 exemplar status, GB300 exemplar status around the corner, @MirantisIT acquisition nearing finalization, VR200 samples confirmed on hand as first of 10 partners, VR200 allocation for first mass production batch, DSX-aligned partnership with Nvidia, DSX reference design AI factory flagship in SW1. -> Stronger supplier acces: check ✔️ -> Better Architecture: check ✔️ - 45% GPU capex prepaid by customers, Microsoft, NVIDIA, Perplexity, Figure AI, Together AI, Fluidstack, Fireworks AI, Fal AI, Hume AI, as customers. Average weighted contract duration of 4 years with <3 year payback term on GPUs. Selective in allocating capacity ahead of commissioning. 95% of $MSFT contract financed, without cash outlay. Owned data centers, introductory for ABF. -> More durable customers: check ✔️ -> disciplined financing and lower refinancing: check ✔️ -> lower obsolescence risk: check ✔️ Maybe Macquarie is not the all-knowing financial institution in this AI buildout, but they do make a prudent, conservative, point here, which fits " The @IREN_Ltd way" really well. If flashy deal headlines are your thing, then 2026 is your year at almost all other neoclouds and colo providers. But investing in a durable neohyperscaler, will require a more sophisticated look on things. The time for mid-curving this market will soon be over. Winners will differentiate, and tourists will know their place. Long $IREN
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Lando retweeted
Everyone’s guessing when Microsoft “accepts” Horizon 1. Stop guessing — the $IREN x $MSFT contract is public on SEC EDGAR (Exhibit 10.3, Dec 31 10-Q). Section 2.1: → IREN sends a “Delivery Notice” → Microsoft gets 5 days to test → No written rejection in 5 days = deemed accepted → Silence is a yes Microsoft can’t slow-walk this. Once notice goes out, the clock is measured in days, not months. Ctrl+F “Acceptance Period”: sec.gov/Archives/edgar/data/… $IREN @jiahanjimliu @FransBakker9812
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The $IREN bears’ only strong point was “massive amounts of dilution”. Today’s PR showed that companies are willing to pay up front for compute. The 45% prepayment shows they will not need to raise so much cash. With the delivery of Horizon 1, it opens the door to new financing options. The CAPEX needed to build out the 5GWs will come from prepayments, their existing cash, revenue from existing contracts, and financing. The dilution will be minimized. The bear case is fizzling out.
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Lando retweeted
So you’re telling me $IREN has the following customers at sub 15B MC?? - NVIDIA - Microsoft - Perplexity - Figure AI (the cool robots company) - Together AI - Fluidstack - Fireworks AI - Fal AI - Hume AI - New Leading AI developer (private as of now) And you’re bearish??
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Lando retweeted
$IREN today dropped a lot in one press release. $2.8 billion in new multi-year AI Cloud contracts. Year-end ARR target raised from $3.7B to over $4B, with 85% of it already under contract. The customer base is now greatly diverse. Microsoft, NVIDIA, Perplexity, Figure AI, Together AI, Fluidstack, Fireworks, Fal, Hume, plus one unnamed "leading AI developer" they haven't revealed yet. Contract quality is the part I keep coming back to. Customers are prepaying roughly 45% of the GPU capex on the new deals. Clients funding nearly half the hardware upfront. Weighted average contract term is about 4 years. Scale check: 12 months ago IREN had about 3MW of self-built AI Cloud capacity. This year they're delivering 480MW, targeting 1.2GW in 2027. They say demand exceeds everything built and everything planned. $7.6 billion in cash on the balance sheet. Why release all of this in one go and who is the customer they're not naming yet?
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Goldman Sachs on $IREN: We estimate that the newly announced $2.8B contracts represent an additional ~$1 bn in contracted revenues with an average term of ~3 years.
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$IREN For anyone paying attention to any of the accounts actually providing real insights and analysis of the IREN story, this ARR raise was obvious. To state the obvious, GPU unit economics are improving - yes, a portion of it is coming from the increased capex costs of GPUs, but a lot of it is from improved hourly rates. Coupled with the hourly rates improving, getting 45% prepayment across the associated GPU Capex is absolutely massive. Getting both the hourly rate improvements and 45% prepayments is validation of the "no need to rush" approach IREN's been taking. No need to lock in rates early for the sake of adding to a Backlog number that will be many months or years from generating revenue. Beyond the obvious there are a few other things we can glean from these disclosed numbers. Incremental ARR: >980M ARR (>4B * 85% - MSFT ARR - PG ARR) 2026 Contracted ARR is now at 3.4B Total Contracted ARR is now at 4.1B Implied hourly rate: ~3.60/GPU-hr (1.58B / 50,000/ 8760) Contract length: ~3 years (2.8B Total Contract Value / 980M ARR = ~3) In all likelihood these unit economics are for the majority if not all of Mackenzie GPUs, and none of the Childress 50MW-Air GPUs. It makes Mackenzie per MW unit economics: Implied $M/Gross-MW: $12.25/Gross MW (980M/80MW) Implied $M/IT-MW: $14.1/IT-MW (980/(80/1.15)) There is a possibility as the Childress 50MW-Air GPUs get contracted that this 4.0B ARR floor is raised again sometime this year. It's not a coincidence the company said "Contracted pricing continues to strengthen". If the remaining GPUs from these 50K are as in demand as IREN says they are and pricing continues to strengthen, I could see the remaining block clearing above these figures and raising the 4B floor. I won't assume it yet, but 4.0B is probably not the real ceiling for 2026 end of year ARR. 🚀🚀🚀🚀🚀🚀🚀🚀 More later.
IREN has signed $2.8bn in new multi-year AI Cloud services contracts with leading AI developers and raised its year-end 2026 AI Cloud ARR target from $3.7bn to over $4.0bn. “Our vertically integrated AI Cloud platform is scaling at pace. In the past 12 months we have expanded from approximately 3MW of self-built AI Cloud capacity to 480MW being delivered this year, with 1.2GW targeted for 2027, broadening our customer base across hyperscalers, enterprises and AI developers.” “We are proud to support leading companies building frontier applications across design, physical AI and robotics, generative media, AI search and model development.” - @danroberts0101 Press release: iren.gcs-web.com/static-file…
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