Antonios

Energy and AI - $WULF since $2 - $IREN since $5

[Antonios @cycladeankitten]

$IREN

Sweetwater site = 1.4 GW
Total secured = 5 GW

•1.4 GW -> $35bn/yr (low end)
•5 GW -> $150bn/yr (high end)
•10x multiple (conservative)

$0.35-1.5t cap

$IREN becomes a $1000-4100 stock

(ex dilution, with current compute costs, but they’ll prob secure more land)

[Antonios @cycladeankitten]

@danielisdizzy Surprised you’re considering $CRWV and did not even mention $IREN (winner)

[Antonios @cycladeankitten]

@FransBakker9812 Where is this screenshot from? First one is crazy

[Antonios @cycladeankitten]

“in this US$3.4 billion agreement with IREN, NVIDIA is, for the first time in its history, leasing third-party compute capacity at large scale and on a long-term basis as a customer, for use by its own AI research teams.”

$IREN to the moon

[franklee6924x @franklee6924T]

There is no larger long-term strategic move than this — NVIDIA joins forces with $IREN to build the flagship AI factory deployment for the DSX architecture

The market will continue to repeatedly reinterpret the deeper intent and long-term objectives behind the partnership between NVIDIA and IREN.

On May 7, 2026, IREN’s CEO reposted NVIDIA’s official announcement on X regarding the partnership between the two companies: NVIDIA and IREN Limited today announced a strategic partnership to accelerate the deployment of next-generation AI infrastructure.

NVIDIA announcement
https://t.co/WW1RJ9ERH3

At the same time, IREN also released another announcement on its own website: IREN signs a US$3.4 billion AI cloud services agreement with NVIDIA.

IREN announcement
https://t.co/f3W6yR90Mq

The two announcements, each emphasizing different aspects of the cooperation, carry extremely significant implications.

First, after careful verification, this is the first time NVIDIA has sought external compute leasing. There are three major turning points in industry development embedded in this move.

A reversal of roles: NVIDIA becomes a “major external compute customer” for the first time

In the past, NVIDIA’s relationship with infrastructure companies was almost always centered around “selling hardware” or “borrowing hyperscaler data centers for DGX Cloud.” But in this US$3.4 billion agreement with IREN, NVIDIA is, for the first time in its history, leasing third-party compute capacity at large scale and on a long-term basis as a customer, for use by its own AI research teams. This kind of “reverse leasing” is unprecedented for NVIDIA in both scale and nature.

The selective external exposure of its most core secrets: this point carries the deepest implications

For a long time, NVIDIA has insisted on keeping its most critical R&D work — chip design, driver optimization, and large-model training — inside its self-built supercomputers such as Selene and Eos, creating a closed loop of “building the shovels and mining with them itself.” But this time, outsourcing a 60MW research workload to an external data center is highly significant. It signals that compute-chip R&D is beginning to transition toward external collaboration.

The first opening of stack management: introducing Mirantis to manage NVIDIA’s internal R&D clusters

Previously, NVIDIA’s internal cluster management was handled entirely by its own engineering teams. But under this agreement, NVIDIA is for the first time allowing third-party management, bringing in Mirantis to participate in cluster orchestration and operations. This also signals a transformation in NVIDIA’s latest compute architecture R&D approach — beginning to “strengthen external collaboration” for lower-level operational work such as server cooling, restarts, and Kubernetes configuration.

As the ability of individual GPU chips to increase computing performance gradually approaches physical and engineering limits, the next phase of AI compute advancement is shifting from “single-chip performance competition” to “system-level scalability competition.” This is NVIDIA’s direction of transformation.

The primary paths for the next stage of AI compute improvement include: GPU clustering, high-speed interconnects, rack-scale computing, and data-center-level coordination. This requires GPU manufacturers (NVIDIA), data center designers/builders/operators (IREN), and supercluster operating systems (Mirantis) to jointly collaborate on development.

What they are developing is precisely the NVIDIA DSX architecture referenced in the NVIDIA-IREN partnership announcement. And IREN’s hyperscale SW site in Texas is becoming the flagship deployment location for NVIDIA’s DSX architecture. This is absolutely not a simple narrative of NVIDIA investing in a company and becoming a shareholder.

For the world’s leading company that holds the core secrets of AI compute chip R&D, this is not a trivial matter.

From NVIDIA’s perspective, there appear to be many potential partners, such as CoreWeave, Nebius, Oracle, Microsoft Azure, Amazon Web Services, and Crusoe, and NVIDIA has already invested in or partnered with these firms before. But why did it choose IREN for this most important transformation?

Because IREN possesses too many things that are uniquely its own:

Multiple GW-scale single sites with secured long-term power supply
Grid interaction capabilities
Vertical integration
Ultra-long-term site planning and abundant land supply
Green energy
Acting as its own design-and-build general contractor
Long-term accumulation of data center operational experience
Advanced design and technical capabilities

Compared with the companies above that NVIDIA has already partnered with, even if IREN temporarily lacked software capabilities, NVIDIA was still willing to wait until IREN acquired a software company before announcing this deep cooperation. Moreover, Mirantis has long been one of the three software companies that have collaborated with NVIDIA for many years. It is highly possible that NVIDIA itself played the role of connector behind IREN’s acquisition.

NVIDIA is transforming toward system-level compute scaling and building an AI factory template. In the future, the products it sells may no longer simply be GPU chips, but complete racks, clusters, or even entire AI factories.

That inevitably requires standardized data centers in order to guarantee performance, compatibility, scalability, and token efficiency.

What NVIDIA needs are facilities with massive long-term secured power supply, land, GW-scale campuses, HPC DNA, rapid construction capability, neutrality, automated scheduling capability, workload routing, GPU virtualization, fault recovery, and cluster operating systems capable of distributed training management.

At present, IREN is the only company that possesses all of these elements simultaneously.

What they are trying to build is the industrial standard for the next phase of the AI industry.

The greatest companies do not merely participate in industries — they define the standards.

From this perspective, there is no larger strategic theme than this one.

Selling compute capacity to hyperscalers, partnering with Anthropic, or developing new sovereign AI businesses are all important, but none compare with this.

The deeper meaning of last week’s announcement will require time for the market to fully interpret and understand. I believe I have already analyzed this trend relatively clearly.

This move by NVIDIA and IREN, once executed successfully, could once again widen the gap between the NVIDIA ecosystem and Google just as Google had begun catching up — and it carries major implications for the entire AI industry.

[FreeFromMatrix @ViralMuzik1989]

David Sacks just laid out the math on a 1GW data center:

→ ~$50B capex
→ $25–30B annual revenue
→ ~2 year payback

Now do the math for $IREN with 5GW secured power (Sweetwater 1.4GW already energized):

→ Potential **$125B – $150B ARR** at full scale
→ At 15–20x revenue multiple = $1.9T – $3T theoretical market cap

Even at 2–3GW ramp: $300 – $800 stock price potential

[Antonios @cycladeankitten]

@chad_ventures @MarketMaestro1 Prob fake considering 150 likes on his post

[Antonios @cycladeankitten]

@barejayogi @franklee6924T How are we doing with the short my friend?

[Antonios @cycladeankitten]

@barejayogi @franklee6924T Bookmarked. Will come back to check how you’re doing

[Antonios @cycladeankitten]

@cantonmeow How are things looking cat?

[Antonios @cycladeankitten]

@barejayogi 😂😂😂 you have no idea what you’re doing. IREN has already contracted the capacity. Delays of other connections are bullish for $IREN

[Antonios @cycladeankitten]

@Lisan6p @ShootImpro Cant DM you! Send me a DM?

[Antonios @cycladeankitten]

@chad_ventures $IREN

[Y Combinator @ycombinator]

.@Servo7Robotics builds industry robots that work in existing operations without long and complex installations.

The AI-trained robots adapt to existing processes, learn on the job, and deploy fast.

Congrats on the launch @pieterbecking and @JasperLeuven!

https://t.co/0nGeNQm4NJ

[Antonios @cycladeankitten]

@chad_ventures Gap completely filled?

[Antonios @cycladeankitten]

@cantonmeow Socrates would approve

[Antonios @cycladeankitten]

@chad_ventures @Sijoiltaan Thanks! $ASST is ripping. I’m hoping we don’t revisit the gap anytime soon

[Antonios @cycladeankitten]

@chad_ventures @Sijoiltaan He’s not happy we might have to go down to fill the gap. Why do we often have to fill these gaps anyway? What’s the logical explanation

[Antonios @cycladeankitten]

@mikealfred https://t.co/MJXHBxiNc6

👀

[Kalshi @Kalshi]

JUST IN: Trump's $DJT bought $40 million worth of Bitcoin

[Antonios @cycladeankitten]

@gabz_investing @elonmusk Check out Lightyear, EV company I used to work at

[Antonios @cycladeankitten]

@ideanoc17 Solar & wind in the mix produces the same effect. The Netherlands has <3% nuclear in its electricity mix and still experienced >450h of negative electricity price hours on its day-ahead market in 2024 due to its renewable penetration, up from 85h in 2022