Brian Fry retweeted
I believe to my core that anyone holding a material position in $IREN today will be post-economic before this decade is out.
I’ve built my career on asymmetric bets: Google, ABCD, Bitcoin, and now IREN.
I’m no IREN perma-bull. I’ve been wrong before, and when I am, I cut bait before taking a full goose egg.
But I’m not even thinking about thinking about selling here.
I’ve added almost daily for two weeks. My share count is now 40% higher than in April 2025, previously my second-largest position ever.
I know, I know. Losers average losers.
But a critical company in a critical industry, riding an exponential trend, trading below liquidation value? That’s an asymmetry I simply cannot ignore.
If the past few months have been painful, I see you.
Looking back, the moments that hurt the most were usually the moments I should’ve been buying the heaviest.
Yes, the macro is weaker this time. That makes it feel different.
But every bottom feels different.
To paraphrase the great Ronnie Coleman:
“Everybody wanna make big-ass gains, but don’t nobody wanna take big-ass pains.”
Have some conviction.
Brian Fry retweeted
With sovereign AI top of mind at #NVIDIAGTC Berlin and IREN’s European footprint expanding, our team demonstrated the seamless pathway from GPU capacity to sovereign tokens on in-region infrastructure.
Explore early demo highlights of IREN AI Cloud, currently in development, powered by the k0rdent control plane and NVIDIA DSX OS recipes to deliver:
- Automated, managed cluster provisioning
- Private model serving & secure API token generation
- Full-stack observability
Brian Fry retweeted
$IREN Mackenzie UPDATE:
More angles of NEW expansion, staging yard, and workers camp for your viewing pleasure. Notice, equipment for expansion is already being staged.
Brian Fry retweeted
A Deep Understanding of the DSX Ecosystem and IREN’s Position Within It
Conclusion: DSX is NVIDIA’s system for productizing the “AI factory.” It combines Apple-like system control with Wintel-like externalization of assets. IREN occupies a position of generational exclusivity: the inaugural co-designed operator and a primary source of site-level and operational engineering standards.
I. Platform Architectures Across Three Eras
The PC era: Wintel — two standards and a thin-margin integration layer.
Microsoft defined the software interfaces, Intel defined the processor and platform reference designs, and OEMs such as Dell and Compaq handled integration and shipment. Profits concentrated in the two standards-setting layers, while the integration layer faced intense competition and thin margins. OEMs bore the inventory and capacity risks.
The mobile internet era: iPhone plus apps — a closed-loop hardware platform and a software ecosystem monetized through revenue sharing.
Apple controlled the chips, devices, operating system, distribution, and payments, while also owning the end-user relationship. The more active the developer ecosystem became, the greater the platform’s returns. Apple compounded its earnings through a share of distribution revenue rather than by developing the apps itself.
The AI inference era: the DSX ecosystem — system-level control without end-user ownership.
The aspects resembling Apple: NVIDIA vertically defines the entire system, from compute, networking, power supply, and liquid cooling to digital twins and control software. It uses certification (Exemplar) and flagship demonstrations to select operators.
The aspects resembling Wintel: Productization and integration are carried out by multiple partners. NVIDIA neither owns nor operates the factories, externalizing the heavy-asset and depreciation risks to its partners and operators’ balance sheets.
Where DSX differs from both: it does not own the end-user relationship. Customers remain in the hands of operators, so NVIDIA can exert influence only through certification, reference designs, and demonstration factories.
II. IREN’s Unique Position and Irreplaceable Role
Once the DSX ecosystem begins operating, it will enter a path of continuous iteration and upgrades, much like Wintel and Apple.
IREN has already become the flagship deployment site for DSX AI factories. Combined with its 5.8 GW portfolio of sites backed by PPAs, this positions IREN to be among the leading co-development partners in every DSX generation, conducting joint commissioning with unreleased next-generation hardware and operating it over the long term at real, gigawatt-scale sites.
This position could bring IREN enormous commercial benefits. The specific mechanisms and channels through which those benefits will materialize remain an open question, and we should expect to see multiple ways of realizing them.
IREN can occupy this position because it possesses a combination of attributes that can only be accumulated over time:
Gigawatt-scale power capacity already connected to the grid, with approximately 5.8 GW secured, including 2 GW at Sweetwater.
Sweetwater, the world’s largest single site to be energized first, remains open for joint design and serves as a co-development sandbox.
A neutral position: no proprietary chip development, no token sales, no status as a hyperscaler, and no geopolitical baggage.
An end-to-end chain of delivery responsibility, from site selection through optimization, backed by a unique execution record: Horizon 1 was delivered and accepted by Microsoft on August 13, 2026, and received GB300 NVL72 Exemplar Cloud status on the same day.
Infrastructure software control capabilities through Mirantis.
NVIDIA’s own core R&D workloads running on IREN’s infrastructure, under a $3.4 billion cloud services agreement.
Advanced liquid-cooling expertise, including talent such as John Gross.
Vertical integration and the capabilities of an engineering general contractor.
At present, IREN is the only candidate that combines all these attributes. CoreWeave lacks owned power infrastructure and neutrality. Nebius lacks grid-connected power capacity and carries geopolitical baggage; its Token Factory is a core commercial offering, with multiple areas of overlapping commercial interests with NVIDIA. Crusoe lacks sufficient depth in behind-the-meter power and integration. Hyperscalers have a site-density profile that does not fit the model, while their proprietary chip development creates conflicts of interest with NVIDIA.
DSX standards operate across three layers: the architecture layer, primarily controlled by NVIDIA; the modules and equipment layer, involving multiple partners such as Dell, Vertiv, and Schneider; and the site and operations layer.
IREN is a primary contributor at the third layer and a key source of as-built evidence for the entire system.
III. IREN’s Potential Commercial Benefits
Given the long-term nature of the DSX ecosystem and its continuous iteration and upgrades, IREN’s position within these three layers of standards could create immense potential value, provided it continues to keep pace with the system’s evolution. That continued participation is far more significant than it might initially appear.
IREN operates primarily at the site and operations layers, both of which offer substantial value to develop.
The sites themselves have value. The operations layer, however, serves as the point of contact between the DSX ecosystem and its users. For IREN, this layer plays an even more important role by bridging the upstream system and downstream demand.
Its potential customer base may extend beyond a diverse range of compute users to include multiple customers seeking to build AI compute infrastructure rapidly. Given the broad spectrum of AI users, IREN’s decision to start building its brand now and sponsoring major sporting events demonstrates considerable strategic foresight.
For IREN, NVIDIA is both a customer and an essential routing channel for demand. NVIDIA can direct customers requiring gigawatt-scale, sovereign, or enterprise-grade deployments to IREN, a model that aligns with NVIDIA’s own structural interests.
Option value: A neutral control plane combined with reserved capacity could allow IREN to increase revenue per unit of capacity by serving sovereign, enterprise, and multi-tenant customers requiring capacity partitioning. It could also serve as a natural physical anchor for standardized compute futures.
This is only a very rough overview. There are likely to be multiple additional channels through which IREN can benefit, and I welcome everyone’s contributions.
Brian Fry retweeted
$IREN just secured $363M in GPU-backed financing, Dan is using his previous Experience at Infra investing and capital markets , leveraging GPUs already generating revenue under multi-year customer contracts.
This is where CEO Dan Roberts’ background becomes a competitive advantage.
Dan brings 20+ years of experience in infrastructure investing, capital markets and project finance, including Macquarie Group and Palisade Investment Partners, which managed A$8B in infrastructure assets.
Amid growing concerns over AI infrastructure lending, IREN is demonstrating how contracted, revenue-generating assets can unlock additional capital to fund expansion.
The strategy is simple:
Secure multi-year customer contracts.
Generate revenue from deployed GPUs.
Leverage those assets and contracted cash flows for financing.
Reinvest capital into the next phase of AI Cloud expansion.
Less reliance on equity dilution, greater capital efficiency and faster scaling.
IREN isn’t just building AI infrastructure. It’s applying sophisticated infrastructure financing to scale it.
Brian Fry retweeted
$IREN Mackenzie UPDATE:
Thermal imaging from 10/24 shows significant heat coming from data halls 4 and 2. All 8 segments of data hall 4 are showing enough heat to suggest commissioning. With fiber optics still being tied in, however, they are most likely not billing yet. As for hall 2, 6 of 8 segments are showing heat signatures and are most likely being commissioned, yet not billing since fiber optics has not been tied in.
Lots of work has been done since 9/23 footage was taken. I believe 3-4 halls could be online and billing before year-end.
It’s great to see more people recognizing the extraordinary capabilities of $IREN’s @danroberts0101. He’s one of the next-generation superstar CEOs of the AI era. Looking forward to many more posts like this.
Why I take @danroberts0101 of $IREN seriously when he talks about building AI infrastructure at scale.
Before founding IREN with his brother Will in 2018, Dan had built a career financing, investing in and overseeing major infrastructure.
Airports. Wind farms. Solar farms. Gas pipelines.
Assets requiring substantial capital, technical expertise and reliable operations.
That background matters when your business involves turning land, power and billions of dollars into functioning AI infrastructure.
Start with Macquarie.
Dan spent six years across M&A advisory, debt structuring and principal investment, working in infrastructure, real assets and renewable energy.
Experience directly relevant to the decisions IREN faces:
How should projects be financed?
Where should capital be committed?
How should risks be allocated between investors, lenders, contractors and customers?
He also holds a Master of Finance from INSEAD, where he made the Dean’s List.
Then came Palisade.
Dan became an executive director and the second-largest individual shareholder of Palisade Investment Partners.
A 2020 account described the business as managing A$8bn of infrastructure across 23 businesses.
His responsibilities included originating opportunities, business development and overseeing portfolio assets.
That was Palisade’s portfolio value—not construction personally delivered by Dan. His experience was in making major infrastructure investment decisions and overseeing assets.
His board roles included Northern Territory Airports, Sunshine Coast Airport, Granville Harbour Wind Farm, Ross River Solar Farm, ANZ Terminals and the Tasmanian Gas Pipeline.
That is a substantial foundation in infrastructure leadership.
Now look at the team around him.
Michael Nudelman joined as Chief Development Officer with more than two decades of experience and senior roles at Google, CyrusOne and Beale Infrastructure.
His remit includes global data-centre development, site planning, permitting and economic development incentives.
John Gross, Chief Innovation Officer, brings specialist expertise in data-centre engineering, high-density infrastructure and liquid cooling.
His work on liquid-cooled servers dates back years, well before the current AI investment cycle.
Dan brings infrastructure investment and oversight experience. The team adds specialist development and engineering capability.
There is delivery behind the ambition.
IREN reported in August that Horizon 1—a 50MW liquid-cooled deployment at Childress—had been delivered to Microsoft.
That moves the story from securing land and announcing capacity to delivering infrastructure for a major customer.
The $9.7bn Microsoft agreement provides a substantial commercial foundation.
Mirantis adds software and cloud-services capabilities.
The NVIDIA relationship connects IREN’s infrastructure ambitions with the ecosystem supplying the compute.
IREN is bringing the pieces together:
Power → development → cooling → GPUs → networking → software → operations.
A co-CEO overseeing this expansion needs to recruit specialists, allocate capital, structure agreements and establish accountability across an enormous programme of work.
Dan’s career provides relevant experience for those responsibilities.
For me, the bullish case is the combination:
An experienced infrastructure investor leading the company.
Specialists with major industry credentials.
Large customers committing to its services.
Physical delivery demonstrating progress.
From two brothers founding an Australian company to delivering AI infrastructure for Microsoft.
Dan’s background helps explain how IREN reached this point—and why I’m excited to see what the team builds next.
$IREN
Sources below:
Brian Fry retweeted
$IREN started grading land to pour concrete for new data halls in Mackenzie, weeks before the election results came in.
And you are still worried about Abbott's office and the multiples of 5GW pipeline? 😂
Mathematician vs Wizard.
No Brainer.
🚨BREAKING NEWS🚨 10/24 footage confirms massive expansion is underway at $IREN's Mackenzie site in BC.
Will @danroberts0101 discuss this on the 11/5 earnings call?
More details to come!
Brian Fry retweeted
@elonmusk: “Debt markets have shut off funding for pure AI data centers. 200+ neoclouds face guppy-level death. SpaceX isn’t buying any. Pointless.”
Translation: “Oh f’ckk, I need massive amounts of ready power and data-center capacity for the 10+ GW buildout I’ve boldly announced to the world, so now I’m publicly FUD’ing those assets down so I can get them easier and cheaper.”
$IREN (and similar power-rich players) already control the scarce resource - grid-connected renewable megawatts and convertible sites - that Elon is racing to build and/or acquire.
In other words, Elon’s “guppy death” sermon is actually a huge compliment to companies like IREN 🔥🔥🔥
cc: @jiahanjimliu
Pretty much.
As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers.
SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue.
That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.
Brian Fry retweeted
🚨BREAKING NEWS🚨 10/24 footage confirms massive expansion is underway at $IREN's Mackenzie site in BC.
Will @danroberts0101 discuss this on the 11/5 earnings call?
More details to come!
Well said @franklee6924T. $IREN!
$IREN: Economics Always Comes First
Investing is, to a large extent, about investing in people. Behind every successful company stands one or several key individuals. I have studied enough successful businesses to have developed a deep appreciation for this. Without Ray Kroc, McDonald’s would have been just another ordinary hamburger chain. Without Howard Schultz, Starbucks would have been much like any other coffee shop. Without Steve Jobs, Apple might have disappeared after 2000. And without Jeff Bezos’s persistence, Amazon would have long ago succumbed to Wall Street’s short-term thinking, started prioritizing profits, and stopped increasing its investments in the future.
I could name 100 examples of people like these and the successful companies they built. The defining characteristics of successful entrepreneurs are vision, high aspirations, and an understanding of how to turn those aspirations into reality. They are highly conscious of risk, have the conviction to stand by their own judgment, and are not swayed by external pressure.
A large part of the reason I invest in IREN is that its founders and management team, as a whole, have demonstrated some of the essential qualities of successful business leaders. I have never believed that securing 5.8 GW of guaranteed power capacity was the primary reason to own this company. The only thing this achievement proves is that they have vision and the ability to execute. What really matters is their ability to anticipate the future and understand how to act on that foresight.
What IREN has done over the past 12 months is figure out how to turn that 5.8 GW, along with the additional guaranteed power capacity it will continue to secure, into the highest-value assets possible, with the lowest costs, the highest efficiency, the greatest scale, and the most difficult-to-replicate competitive moat—ultimately achieving the best economics.
Everything IREN does is aimed at making the company the most economically competitive player in the industry.
Achieving all of this is difficult. It is a massive, system-wide engineering undertaking that was planned well in advance and continues to be adjusted as the industry evolves. Yet some of the most fundamental benchmarks will never change. IREN will not engage in the kind of frantic construction spree where it builds facilities everywhere, turns to gas turbines today and Bloom’s solid oxide fuel cells tomorrow, and suddenly adds billions of dollars in costs. Nor will it accept price-cutting demands from hyperscale customers, sell its valuable computing capacity at bargain prices, and then find itself forced to lease or build data centers everywhere just to fulfill those economically unattractive contracts, leaving it with no time to consider the economics of what it is doing.
IREN will not operate this way. The pricing on its Microsoft contract is also quite low, but the contract value itself is not the main point. The real objective is to leverage Microsoft’s top-tier creditworthiness to facilitate the construction of data centers that IREN itself owns and controls.
Building its own data centers is indeed slower than leasing capacity, but once completed, they offer far superior economics in multiple areas: cost control, responsiveness to changing conditions, the accumulation of operational data, interaction with the power grid, and economies of scale across entire site campuses, among others. These advantages are beyond what behind-the-meter power generation and leasing-based models can offer. More importantly, these assets will also have financial value in their own right: they can serve as collateral and potentially be securitized. Their overall economic potential is substantial.
The fundamental reason for the recent market sell-off is that investors are questioning the economics of AI infrastructure investment. This is because the so-called platinum standard of the industry, CoreWeave, has presented institutional investors with such a dangerous business model. From the very first day I learned about this company, I wrote off its model. I could not believe it was willing to scale up so aggressively, so early in the upward trajectory of chip performance. In an article I wrote quite some time ago, I predicted that it would eventually trigger an earthquake across the industry.
In fact, its most painful period is probably not now, but next year and the year after. Chip efficiency is improving too quickly, yet CoreWeave has too many first-generation chips and inefficient data centers. In the liquid-cooling era, these data centers will be almost entirely unsuitable for newer generations of hardware, leaving them capable of running only first-generation GPUs. Although CoreWeave leases these facilities and therefore does not bear the depreciation costs of the underlying data centers, the economics of its business will inevitably deteriorate. To improve efficiency, it will have to compete for access to liquid-cooled data centers, while its capital expenditure requirements remain perpetually stretched, with no sign of relief.
IREN recognized certain common characteristics of the high-performance computing industry back in the Bitcoin mining era. Pursuing speed at all costs inevitably means sacrificing efficiency. If a company ultimately wants to achieve an overwhelming advantage in both efficiency and economics, it must take a holistic view: What needs to be done in advance? What should be deferred? What matters most? What can wait? These are the decisions that ultimately determine who wins.
CoreWeave’s supposed platinum-tier status in software, under this business model, is like having a master chef working in a kitchen whose conditions keep deteriorating. If the equipment and facilities cannot keep up, there will inevitably come a day when even the best chef can no longer produce great dishes. I have never paid much attention to rankings of software capabilities among these neocloud companies. Nebius has a relatively strong technical background, while CoreWeave itself was a cryptocurrency miner just a few years ago. AI is still at a very early stage, and the infrastructure ecosystem has yet to reach a stable phase of technological development. Software capabilities will inevitably begin to diverge as the underlying infrastructure evolves and complexity increases. Companies that are ahead in infrastructure design and construction will have greater opportunities to achieve major advances in software as well. The recent series of announcements involving IREN and NVIDIA has already opened a window through which we can observe this trend.
IREN also has a strong tradition of financial discipline, which is consistent with the team’s Macquarie background. Macquarie is a leading force in infrastructure and one of the most authoritative investment banks in this field. When it comes to infrastructure finance and financing strategies, IREN is undoubtedly among the most competitive of all neocloud companies.
At this point, I still do not have a complete picture of IREN’s business model. But I can see that everything it does is driven by economics, and its business model must ultimately be built around achieving the best possible economics. As for its sponsorship spending, that reflects the entrepreneur’s judgment about the future. Investors who believe this is a waste of money can simply wait a while before passing judgment.
IREN’s recent decline has been even more severe than that of CoreWeave, the company at the center of the storm. It is true that IREN does not yet have a sufficiently large revenue base to support its valuation. This year, the market has simply favored the backlog-driven model. If IREN has been sold down to these levels, then so be it. I believe value will eventually assert itself. If the market is now questioning the economics of these businesses, sooner or later it will discover which company truly has the best economics.
Sometimes, an eagle flies lower than a chicken!
Brian Fry retweeted
Good data showing that NVIDIA AI infrastructure is a durable, investable asset that retains value.
New applications and workloads keep landing on our fungible platform, increasing demand because of its productivity.
Chart by @a16z
GPUs are aging like fine wine, with rental rates up across the board since January 1st
Approximate change YTD:
- H200: +160%
- B200: +120%
- RTX PRO 6000: +65%
- H100: +35%
Even the 6-year-old A100 rents for more than it did at the start of the year
Charts of the Week: a16z.news/p/charts-of-the-we…
Brian Fry retweeted
Key Takeaways from IREN’s Collaboration with NVIDIA on Minerva
IREN’s collaboration with NVIDIA on Minerva marks a transition from “deploying compute infrastructure” to “jointly building an industrialized operations and management system for AI factories.” NVIDIA’s selection of IREN as a core reference operator for Minerva means that IREN is no longer merely a purchaser of GPUs, but has become a real-world testing ground for NVIDIA to validate its DSX architecture and AIOps models. With more than 5 GW of power resources and gigawatt-scale data center plans, IREN is one of the few partners globally capable of providing Minerva with a real-world operating environment featuring high density and complex topologies. Meanwhile, Minerva’s modular integration approach aligns closely with IREN’s emphasis on ensuring that “new technologies must be seamlessly integrated into existing operational systems.”
For IREN, the value of Minerva lies in advancing the operation and management of hyperscale clusters from “reactive troubleshooting” to “proactive prediction.” In AI factories operating at the 100,000-GPU scale, minor hardware anomalies can trigger alert storms and hidden performance degradation. Minerva can filter out the vast majority of noisy alerts, identify the true root causes, and detect gradual performance degradation of 1% per day, triggering maintenance in advance to prevent any impact on token output. It also breaks away from the old model in which “scaling up necessarily requires a proportional increase in headcount,” enabling ordinary operations personnel to support clusters several times larger through natural-language interaction and automated root-cause analysis. More importantly, by improving uptime, reducing MTTR, and stabilizing multi-tenant concurrency, Minerva enables IREN to maximize the productive output of every GPU and every megawatt of power, directly strengthening the economics of its AI factories.
This collaboration clearly highlights the dividing line in industry competition: the shift from a hardware arms race to a competition in intelligent operations. For IREN, Minerva is a software moat that enables the secure deployment and productive utilization of gigawatt-scale compute capacity. For NVIDIA, IREN is a flagship benchmark for establishing an end-to-end industrial standard built on DSX + Minerva.
Brian Fry retweeted
The new features announced for the DSX system at this Berlin GTC seem to weaken NBIS’s position at the software layer while strengthening IREN’s. I think this assessment of the direction of travel is probably sound, although I still need to study and research the details more thoroughly.
Minerva, in particular, could have a significant impact on SemiAnalysis’s rankings. As NVIDIA’s AI Factory-specific AIOps platform continues to interact with IREN’s gigawatt-scale clusters, the software capabilities that CoreWeave and Nebius have built in-house could potentially reshape the industry landscape.
I’m not certain that my interpretation is entirely accurate, but one trend emerging from this GTC is clear to me: IREN is focusing on what it does best—building infrastructure hardware—while NVIDIA’s DSX system provides multiple software capabilities. The two sides continue to interact, refine their integration, and grow stronger through ongoing feedback.
The larger and more complex the infrastructure hardware ecosystem becomes, the more comprehensive and powerful the corresponding software capabilities need to be.
I’ve consistently observed that, although all three companies work with NVIDIA, IREN’s relationship with NVIDIA is fundamentally complementary, while CoreWeave and Nebius face areas of conflict and even potential competition with NVIDIA. This is particularly evident with Nebius. Its collaboration with NVIDIA is also deep, yet many of their capabilities overlap.
So what will Nebius do going forward? Will it continue to maintain a self-contained, vertically integrated software stack, make it compatible with DSX, or eventually move to using DSX entirely?
Anyone with insights into this would be welcome to share their thoughts.
@jiahanjimliu , I’d particularly like to hear your opinion.
Brian Fry retweeted
WELL, WELL, WELL? $IREN is the only name on this Southwest Power Pool (SSP) chart with a contracted service agreement.
Public Service Company of Oklahoma row: “IREN service contracted” (dark green).
That’s the 1.6 GW Oklahoma campus. Grid studies done, power from 2028.
Everything else is pending or undisclosed, so while the rest of the queue waits, IREN already has the service locked.
Power + land + DCs + GPUs + cloud. 150k GPU path. Multi-GW pipeline.
(Table: @ModoEnergy 🙏)
Brian Fry retweeted
IREN is partnering with NVIDIA to launch Minerva, NVIDIA’s new AIOps platform, on IREN AI Cloud.
Our VP of AI Cloud, Jason Forrester, joins NVIDIA’s Gilad Shainer and 650 Group’s Alan Weckel to explore how IREN’s approach to AIOps enhances visibility, strengthens operations and keeps compute productive.
Watch the conversation: youtu.be/MWVjiWYs1sw
Keeping an AI factory running at full yield starts with clear operational insight.
Our SVP of Networking, Gilad Shainer, joins @AlanWeckel, Co-founder of @650Group, and Jason Forrester, VP AI Cloud at @IREN_Ltd, to unpack how NVIDIA Minerva cuts alert noise, speeds root-cause analysis, and maximizes GPU uptime in production.
Watch the full discussion: youtu.be/AYGSUv-EAfY
If you’re long $IREN, follow @g_duerksen. Early connection to PodTech, personal knowledge of the Roberts brothers, and clean analysis on the company’s setup and deals. Worth the follow.
From the day I met the Roberts brothers, it was clear they had a different arroach. It focused on positive and proactive community engagement. Making sure to take care of "the moms and dads".
@IREN_Ltd
AI sovereignty requires more than a single campus. IREN is executing it globally by developing and operating its own sites in renewable-rich regions across NA, Europe and APAC, while using Mirantis capabilities for workload isolation and local operational controls. The result is customer choice over data location and infrastructure operator backed by vertical integration rather than reliance on third-party colo.
IREN is advancing sovereign AI in Europe, bringing together its European data center capacity and managed cloud services for customers seeking more choice over where their AI workloads run and how their data and infrastructure are managed.
Announced today at NVIDIA GTC Berlin, IREN has established IREN Europe and appointed Ángel Corcóstegui as Chair of the newly established board of directors.
IREN also secured the civil works license for its planned 300MW campus in Badajoz, Spain. Following the completion of its acquisition of Mirantis, IREN’s software capabilities include workload isolation and operational controls that can help customers address data residency, security and governance requirements.
Read more: iren.gcs-web.com/static-file…
Brian Fry retweeted
$IREN: Close Collaboration with Nvidia to Develop Open Source Security for AI Clouds
Just as Linux became the dominant OS for x86 CPUs, the Nvidia Open Source stack will become the dominant platform for AI Clouds. It’s fully vertically integrated software-firmware-hardware and part of Nvidia’s expanding moat.
The IREN announcement at GTC will be advancements in AI Cloud Security for Agents on Nvidia’s stack.
Mirantis is a founding member of the Open Secure AI Alliance, now hosted by the Linux Foundation (@linuxfoundation).
An AI system runs on a full stack of model, harness, runtime, and infrastructure. It is only as secure and as open as the layers underneath.
We are advancing that work from the infrastructure upward, grounded in what we know best. That means turning hard-won operational experience into open artifacts that others can deploy, test, and trust, instead of keeping it in private runbooks.
For the operators who run this infrastructure, you can reproduce a deployment in an environment you control and inspect the evidence behind every claim.
See what open AI infrastructure really means. buff.ly/AfSo2tD
#Mirantis #k0rdent #OpenSource
Brian Fry retweeted
$IREN was blasted for not signing deals earlier, now @danroberts0101 😎 👇
$SPCX: "It is not impossible that we will have a six-month payback period for compute next year."