MarkoPolo

[Jensen Huang @JensenHuang]

https://t.co/WPqpdj0p2T

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

Congratulations to @IREN_Ltd on achieving NVIDIA Exemplar Cloud status for its NVIDIA GB300 NVL72 deployment.

This validation reflects close engineering collaboration and gives enterprises confidence that demanding AI workloads can perform reliably at scale on IREN’s AI Cloud.

Learn more ⤵️

[Daniel Roberts @danroberts0101]

Every new AI data center creates more demand for AI, not less. That's what people referring to past booms keep getting wrong about this one.

Better AI needs more computing power to run. Cheaper AI gets used more, not less. And every step change in capability creates use cases that didn't exist a year ago.

Demand grows at the speed of software, but supply cannot. Supply grows at the speed of the real world: power connections, transmission lines, concrete, steel, and the thousands of people it takes to build.

In past booms, technology helped supply catch up. This time, technology is on the other side of the equation. It's fueling exponential demand, and the real world can't build fast enough to keep up.

[MarkoPolo @markopolo150]

@IREN_Ltd @StockAnalystPro Amazing work team! 💪

[IREN @IREN_Ltd]

Horizon 1: delivered.

IREN has delivered Horizon 1 to Microsoft and achieved NVIDIA Exemplar Cloud status on NVIDIA GB300 NVL72.

Read more: https://t.co/ItVXSXK1V7

[Frans Bakker @FransBakker9812]

Hello $IREN investors!

Horizon 1 is live and the GPU cluster has been handed over to $MSFT for acceptance testing.

[Daniel Roberts @danroberts0101]

Data centers. Compute. Software. Under one roof. Three layers. One compounding advantage.

Yesterday, we closed the acquisition of Mirantis, strengthening layer three with a team that has spent over a decade building and operating cloud infrastructure for 1,500+ enterprises globally.

https://t.co/AhqgR2cNMx

[IREN @IREN_Ltd]

AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis.

By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads.

Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next.

Read more: https://t.co/zxFLgarIGT

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[IREN @IREN_Ltd]

Ideas big enough to change the world. Infrastructure built to make them happen.

IREN AI Cloud — What will you build next?

Learn more: https://t.co/P67u9SGbhU

[Daniel Roberts @danroberts0101]

One of the most common questions we get about AI data centers is how much water do they use?

Fair question. Older designs cooled servers by evaporating water and people naturally assume ours do too. They don't.

$IREN's sites are different. Direct-to-chip liquid cooling in a closed loop. Same idea as a car radiator or a fridge. Fill it once and the water just goes round and round.

Over the life of a 200MW site, the initial fill plus every top-up averages out to about as much water each year as 3 households.

Not a town. Not a suburb. Not a street... 3 houses.

Water matters in the regions we build in. Which is precisely why our cooling barely uses any.

[Daniel Roberts @danroberts0101]

12 months ago we had ~3MW of self-built AI Cloud capacity. Today: 480MW being delivered this year, $2.8bn in new contracts signed, and our 2026 ARR target raised to $4bn+ with ~85% already under contract.

Demand continues to exceed everything we can build. Recent contracts include customer prepayments covering ~45% of the associated GPU capex, with weighted average contract terms of ~4 years across the portfolio.

Data centers. Compute. Software. The three-layer thesis, executing as written:
https://t.co/VP7KeVpV3F

We're in a good spot. Proud of the team.

[MarkoPolo @markopolo150]

@danroberts0101 @FransBakker9812 🤝

[MarkoPolo @markopolo150]

@IREN_Ltd 💪

[IREN @IREN_Ltd]

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: https://t.co/7W3Ze0JThN

[Frans Bakker @FransBakker9812]

$IREN Has officially broken ground on Sweetwater 2

Ahead of site civil works, a substation and construction warehouse are to be build.

With just 15~17 months until energization, grading of the first part of the site is now in progress.

[Johnny B. @osoloco22]

Stop losing what was said in Spaces.

Project Too Long; Didn't Listen is alive → https://t.co/hW0Dsrxd4i

Transcription with fact-checking, speaker annotation, and a knowledge base built from aggregated Spaces.

[Frans Bakker @FransBakker9812]

$IREN at @RaiseSummit

Kent Draper: 3 layers of AI compute
1. Physical Infrastructure
2. Compute
3. Software & Services

Layers 1 and 2 are the key foundation, without those, your ceiling is capped.

I have been pounding the table on the superior model of a bottom-up approach.
@kentpdraper confirms that @IREN_Ltd sees it the same.

Having a strong foundation of land, power, grid connections, substations, owned GPUs, network core buildings, and storage, will unlock the amount of GPU hours that can be monetized up the stack.

It's very simple: with an abundance of physical infrastructure and chips — software is the layer that can be added when needed.
The foundation of the thesis rests on physical assets and power being scarce, and those are the limiting factors in your ability to grow faster than peers.

[𝐀𝐠𝐫𝐢𝐩𝐩𝐚 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 @Agrippa_Inv]

$IREN's Executive Compensation

My full take on $IREN's controversial RSU package is now live on Substack for FREE.

While this topic has been discussed to death already, I believe my piece brings some unique perspectives to the table and might shift a few opinions.

I'm genuinely curious to hear your feedback in the comments!

If you don't already have a Substack account, it just takes about 2 minutes to set up. Very user-friendly platform.

Cheers!

https://t.co/OeyqAFTf1F

[Daniel Roberts @danroberts0101]

IREN is building AI infrastructure at gigawatt scale. Becoming the provider customers think of first takes more than building it. It takes presence where decisions get made.

Our Golden State Warriors (@warriors) partnership brings us deeper into the Bay Area AI ecosystem: closer to the customers, partners and talent shaping what's next.

As we serve a widening base of enterprises, AI labs and startups, that presence is how IREN stays in the conversations that matter.