While the AI spotlight shines on names like Nebius and CoreWeave, Iron is making one of the most overlooked pivots in the market—evolving from a Bitcoin miner into a fully funded AI infrastructure provider. With over 10,900 Nvidia GPUs already deployed, billions in revenue potential, and gigawatt-scale expansion underway, Iron is quietly building the backbone for tomorrow’s AI demand. For investors, this could be one of the few small-cap plays combining proven cash flow with explosive AI upside.

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The spotlight in AI has been fixed on names like Nebius and CoreWeave. Both have rewarded early believers with massive returns—Nebius is up 136% year-to-date, while CoreWeave surged 156% since going public. Those rallies are real, but they’ve also crowded attention, leaving a far less obvious name in the shadows: Iron.

At first glance, Iron appears to be just another Bitcoin miner. That’s how most investors still categorize it. And yes, the company continues to mine Bitcoin profitably. But staying stuck on that label risks missing the bigger picture. Iron is in the middle of one of the most aggressive and successful pivots in the market right now—away from being just a crypto play and toward becoming a true AI infrastructure provider.

This isn’t a speculative dream. It’s happening. Already, Iron has scaled from 4,300 Nvidia GPUs in July to over 10,900 GPUs today, with preferred partner status from Nvidia itself. Few companies outside of hyperscalers can claim such a rapid accumulation of cutting-edge AI hardware.

And here’s why it matters: the demand for AI compute is still outpacing supply. Sovereign AI projects, enterprise adoption, and next-generation model training are pushing every data center operator to capacity. Iron isn’t waiting for demand to come to them. They’re building first, securing GPUs, and ensuring that when customers show up, the infrastructure is already in place.

For the investor who doesn’t have time to chase every shiny ticker, this is exactly the type of setup worth noticing. A company overlooked by the crowd, with a proven cash engine, now building the next leg of growth where demand is virtually guaranteed.

Iron’s most recent quarter confirmed just how far it has come. Revenue reached $187.3 million in Q4 fiscal year 2025, with net income of $176.9 million. Adjusted EBITDA stood at $121.9 million, while total EBITDA hit $241.4 million. For the full fiscal year, revenue surged to $501 million, up 168% year-over-year, with net income swinging from a loss to $86.9 million.

But revenue today is just the starting point. Based on current deployments, Iron projects:

These figures aren’t locked in stone—they rely on assumptions like Bitcoin price stability, network hash rates, and on-time GPU deployment. Still, the path to multibillion-dollar revenue is clearer here than in most small-cap growth stories.

Consider the context: Iron is a $6 billion company. Generating over a billion dollars in annualized revenue places it in rare territory for a business of its size. The Bitcoin operations provide steady cash flow to finance growth, while the AI cloud buildout offers the explosive upside. Few companies are funding next-generation AI infrastructure with self-generated cash instead of endless equity dilution. Iron is.

The most telling indicator of Iron’s trajectory is its GPU fleet. In just a matter of months, the company has secured:

This expansion brought the total to 10,900 Nvidia GPUs, with more on the way. Importantly, Iron now has the infrastructure and energy resources to scale far beyond that number. Its Canadian sites in British Columbia alone have capacity for over 60,000 Nvidia Blackwell GPUs, while its Horizon 1 data center supports over 19,000 GB300s.

Then comes Sweetwater—a 2 gigawatt site split into 1.4 GW (Sweetwater One) and 600 MW (Sweetwater Two), scheduled for 2026 and 2027. For perspective, that level of capacity positions Iron to compete directly with hyperscalers in sheer compute availability.

This isn’t speculative land-grabbing. Construction is already underway, backed by committed financing and operational cash flow. Iron’s near-term growth—like the completion of Horizon 1 in 2025 and the ramp at Sweetwater in 2026—is fully funded. That’s rare in this environment, where many AI startups rely on dilutive funding to survive.

Why expand so aggressively? Because demand isn’t just growing—it’s outpacing supply. Enterprises are racing to integrate AI, governments are building sovereign AI capacity, and developers continue to train larger, more complex models.

Iron’s strategy is clear: focus on bare-metal offerings, which are favored by hyperscalers and enterprise developers who want maximum flexibility and performance. Unlike Nebius, which layers software services on top of its hardware, Iron is concentrating on being the infrastructure backbone—the raw horsepower that fuels AI workloads.

The partnerships hint at validation. Iron has already been mentioned in connection with FluidStack, a name tied to multi-billion-dollar deals with companies like Google. These relationships suggest that Iron isn’t just building blindly—it’s aligning with real demand sources.

And importantly, Iron’s execution has been consistent. Quarter after quarter, deployments have been on time, and expansions have been delivered as promised. That reliability in an industry known for delays adds confidence that the projections aren’t simply ambitious slides—they’re achievable milestones.

The stock has already rewarded those who spotted the shift early. From $5 in April to over $25 today, Iron has been a five-bagger in a matter of months. And yes, after such a run, pullbacks are natural, even healthy. But the long-term thesis isn’t about whether shares trade at $25 or $28 this quarter. It’s about where this company could be in five years if its AI pivot continues on track.

Think of the setup:

For the overwhelmed investor who doesn’t have time to chase every AI ticker, Iron represents something different: a company that has already proven it can generate cash, already proven it can scale, and is now positioning itself for the AI wave in a way most of the market still hasn’t recognized.

The market will eventually catch on. By then, the easy multiples may be gone. That’s the advantage of seeing the pivot before it’s obvious.

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