u/NyelsGenovese

Company analysis: IREN Limited (IREN)

Company analysis: IREN Limited (IREN)

Ahead of IREN’s FY26 results, which are expected by the end of next week, I wanted to share my thoughts on where the company stands right now.

IREN is targeting 150K GPUs across 480MW and ~$3.7B of AI Cloud ARR, with more than $3B already contracted, roughly 5GW of secured power, and major contracts with Microsoft and NVIDIA. There’s also an interesting signal from Stanley Druckenmiller, whose family office opened a new 87,100-share IREN position worth roughly $4M in Q2, while also adding exposure to other digital infrastructure names.

But the other side of the equation is capital. The Microsoft deployment alone involves roughly $5.8B of GPU-related capex, while IREN has around $12B of contractual commitments. At roughly $45/share, the market is already pricing in a successful AI transition. My question is whether the returns will justify the capital required. If IREN can reach 30%+ EBITDA margins and meaningful FCF, I think the current valuation can work. If utilization, pricing or FCF disappoint, the downside looks very different.

I looked into the contracts, current economics, capital requirements, dilution and valuation to see what could take the stock toward $90+, what numbers would make me change my mind and written a bit longer post here: Company analysis: IREN Limited (IREN)

TL;DR: At around $45, I think the market is already giving IREN credit for a lot of the AI buildout. The next move higher needs to be earned through strong margins, high returns on the capital being deployed, and real FCF. Until we see that, I see IREN as fairly valued rather than cheap.

And that assumes a more or less rational market. If the broader AI trade eventually gets hit by a meaningful correction, IREN could get hit hard even if the underlying business keeps executing. Valuation matters, and in a sector this hot, the multiple can move faster than the fundamentals.

Bear in mind this is not financial advice. It’s simply my current take on IREN’s situation and the possible scenarios from here. I’m sharing the numbers and assumptions I’m looking at, and what would make me more or less bullish on the company.

How high are your expectations going into next week’s report?

anotherroundplease.substack.com
u/NyelsGenovese — 3 days ago

Some $NVDA due dilligence on the $500 billion partnership to finance ai infra

hey guys,

been looking into NVIDIA's latest announcement with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR and thought it was worth sharing here.

the headline is obviously the $500B+ of third-party capital that these partnerships could mobilize for ai infra. ok. just to be clear, this isn't NVIDIA getting a $500B check. these are financing platforms intended to bring outside capital.

the part i find more interesting is what NVIDIA is actually trying to solve.

building ai infra is ridiculously expensive. you need GPUs, servers, networking, cooling, power, data centers, etc. someone has to put up all that money before the infrastructure starts generating revenue.

so NVIDIA is basically asking: why does the customer have to pay for the whole thing upfront?

if an ai company needs $1B of compute, you could have institutional investors finance the infrastructure and the customer pay for access to it over time.

that's what i think NVIDIA means when it talks about making compute an investable asset class.

it's basically taking something that looks like "here's a warehouse full of very expensive GPUs" and trying to turn it into "here's infrastructure that can generate cash flows over several years."

and there is a reason NVIDIA wants this to work.

more financing → more AI infrastructure → more NVIDIA GPUs → more CUDA/software adoption → more demand for NVIDIA compute.

i believe that's the interesting part for a $NVDA shareholder.

NVIDIA doesn't necessarily need to finance the whole ai buildout itself. it needs someone else to make it easier for customers to afford it.

and the people involved here are some of the biggest pools of institutional capital in the world. they say the platforms are intended to provide capital to its customers at scale and at attractive rates. we'll see.

there's also an interesting capital-efficiency angle here.

if a customer can finance a large GPU deployment instead of having to buy and fund the whole thing upfront, the financing itself becomes another way to unlock demand for NVIDIA hardware. the bottleneck isn't necessarily whether people want more compute. it can be whether they can actually finance all the stuff required to build it.

and this is where i think the distinction between "NVIDIA financing ai" and "NVIDIA helping others finance ai" matters.

the second one is potentially much more attractive for NVIDIA. the financial institutions provide the capital and take the investment/credit risk, while NVIDIA potentially gets a much larger pool of customers that can access the capital needed to buy its systems. the announced platforms are intended to be independently financed, and the $500B figure is capital that could be mobilized over time, not $500B of guaranteed NVIDIA revenue.

there is obviously a big "yeah, but..." here.

the projects still have to make money. customers still have to generate enough revenue to pay for the compute. utilization matters. GPU useful life matters. power costs matter. and lenders need to be comfortable that the infrastructure they're financing will actually produce the cash flows they're expecting.

that's probably the part i'd watch most closely.

because if NVIDIA-powered compute becomes something lenders are comfortable financing like other infrastructure, NVIDIA may have helped remove one of the biggest bottlenecks in the AI buildout: who actually pays for all this shit?

and there is already a precedent for GPUs being treated as financeable assets. CoreWeave, for example, has previously used NVIDIA GPUs as collateral for debt financing. that's obviously not the same structure as what NVIDIA announced this week, but it shows that the idea of financing compute isn't completely theoretical.

the other thing i find interesting is what this could do to NVIDIA's position in the ecosystem.

if more institutional capital starts flowing directly into compute infrastructure, NVIDIA doesn't just benefit when someone buys a GPU. it potentially benefits from a much larger ecosystem of infrastructure being built around its platform. and because CUDA sits on top of the hardware, every new deployment can potentially reinforce the software ecosystem as well.

that's a pretty powerful flywheel if the economics actually work:

more capital → more infrastructure → more NVIDIA compute → more software adoption → more demand → more capital.

but that's also where the risk is.

the $500B number is a target for capital mobilization, not guaranteed NVIDIA demand. the final agreements still need to be executed, and the underlying projects still need to make economic sense.

so i don't think the takeaway here is simply "$500B = bullish."

the more interesting question for me is whether NVIDIA is helping create a financial market around compute itself.

if the answer is yes, NVIDIA could end up selling into an infrastructure market that has access to dramatically more capital than the companies building it could provide on their own.

if the answer is no, then $500B is just a very impressive number in a press release.

i went a bit deeper into this in my latest weekly post, including what i think this could mean for NVIDIA. if you want to dig into it, i'll leave it here: substack post where I write more about the $500 billion Nvidia partnership

curious what you guys think. am i reading too much into it?

u/NyelsGenovese — 9 days ago
▲ 65 r/ONDS

$ONDS DD: The Bull Case, The Bear Case & What I’m Watching Into Q2

Hey there!

Been digging into $ONDS over the past few weeks and did some DD that I wanted to share here and get your opinions on.

Mainly around their M&A approach (the acquisitions, World View, DZYNE), but also about the management, funding, financials, all of it.

Positive news about it: $457M Pro-forma Q1 backlog, versus $68.3M at the end of 2025.
That’s a huge increase and one of the stronger pieces of evidence that the transformation isn’t purely narrative.
But backlog still has to convert.

What I find most interesting is that Ondas seems to be trying to become something more than just “a drone company.” There’s a pretty ambitious autonomous defense stack being assembled here.

The obvious question is whether all these pieces will actually fit together, or whether this eventually turns into a pile of acquisitions under the same ticker…

My read is that management is betting defense customers will eventually prefer an integrated system (sensing, autonomy, communications, software, counter-UAS and effects) rather than having a bunch of disconnected vendors.

The bull case:
Acquire → integrate → cross-sell → improve margins → generate cash → grow organically.

The bear case:
Acquire → issue stock → report more revenue → acquire again.

They haven’t really proven which one it is yet.

Q2 earnings are next Friday, so I’m curious to see if we get any more evidence of which direction this is actually going.

I put all my research together into a longer post on Substack. Would genuinely like to hear what you guys think, especially if you disagree with the thesis or think I’m missing something.

You can read it here: Substack research post

open.substack.com
u/NyelsGenovese — 11 days ago