From Bitcoin Miner
to NVIDIA-blessed Tier-1 Neocloud.
한 주 동안 IREN은 (1) Sweetwater 1 에너자이즈, (2) Mirantis 인수, (3) Nostrum 인수, (4) NVIDIA $3.4B 계약 + $2.1B 자본 약정 + 5GW 파트너십을 한 번에 발표. 8년 전 "디지털 무한 팽창 vs 물리 인프라의 시간차"를 노리고 만들어진 회사가, 이번 주 NVIDIA로부터 사실상의 tier-1 인증을 받음. 이 대시보드는 그 복잡성을 사이트별 디테일과 napkin-math로 정리한 것.
01.13줄 요약
1. 이번 NVDA 딜은 GPU 공급계약이 아니라 "매출 $3.4B + 자본 $2.1B + 5GW 공동 청사진"의 3단 패키지. 핵심은 NVDA 자본투입권이 실제 GPU deployment(60만 GPU 풀 vest 기준)에 vest되는 구조 — passive 투자가 아니라 execution-tied alignment.
2. 현재 발행주식 ~342M주 + ATM 한도 $5.6B 잔여 + NVDA 워런트 30M주(@$70) + Mirantis 약 10M주. 컨버터블 풀전환은 91M주지만 capped call 헤지로 현재 주가 $60대에선 실제 순희석 ~18M주.
3. 풀 5GW 가동 시 매출 $30~45B / NI $4~13B 가능. 주당 가치는 베어 $22 ~ 베이스 $192 ~ 불 $483의 폭. point estimate가 아닌 분기별 catalyst 모니터링이 정답.
01.2핵심 변수 상태
01.3유레카 인사이트 (시장이 아직 다 못 본 포인트)
NVDA × IREN Deal
$3.4B 매출 + $2.1B 자본 + 5GW 파트너십. 단순 GPU 공급계약이 아닌 execution-tied alignment 패키지의 본질을 분석.
"The $2.1 billion NVIDIA investment is structured to reflect that their rights to invest only vest as NVIDIA GPU infrastructure is deployed across IREN campuses and only fully vest upon deployment of 600,000 GPUs. NVIDIA's capital is directly tied to execution. That's not a passive financial investment. NVIDIA is a partner who wins as we deliver."
02.1딜 구조 - 3개 레이어
- Childress 기존 운영 데이터센터 60MW에 Blackwell 배치 → 신축 불필요, 즉시 deployable
- 2027년 초부터 ramp, 5년 contract
- ARR 약 $0.7B (NVDA 자체 가이드, $11.6M/MW/year)
- Microsoft $9.7B/200MW = $9.7M/MW/year 대비 NVDA가 22% 비싼 단가에 사주는 것
- 이 안에 "managed services" deployment 포함 — Mirantis 인수가 이 부분과 직결
- 참고: 이 60MW는 Childress의 2027 추가 250MW air-cooled retrofit 중 일부에서 deploy
- 발표일 종가 $60.98 대비 15% 프리미엄 strike
- "Securities Purchase Agreement" 형태 → 워런트가 아닌 사적 발행 권리
- 규제 승인 필요 (CFIUS 등 가능성)
- ⚡ 핵심 메커니즘: GPU 60만대 deploy까지 단계적 vest
- 즉 NVDA는 IREN 캐파에 자기 GPU가 깔린 만큼만 자본 투입 권리를 얻음
- passive financial investment ≠ NVDA가 IREN의 execution 성공에 직접 baked in
- IREN 입장: NVDA가 단순 투자자가 아니라 "GPU deploy 인센티브를 가진 파트너"
- "NVIDIA AI Factory reference architecture" 표준 적용
- DGX environments + NVIDIA-aligned 아키텍처
- 첫 60MW는 시작에 불과 — 잠재 deployable scale 약 83배
- 산업 표준화 의미: NVDA가 IREN 캠퍼스 전체를 "AI Factory"의 reference로 인정
- 이게 NVDA가 다른 hyperscaler에 IREN을 추천할 때의 인증서 역할
02.2경영진의 NVDA 딜 경제적 가치 설명 (컨콜 전문)
"We are working with NVIDIA to support deployment of up to 5 gigawatts of NVIDIA-aligned AI infrastructure across our global data-center platform, alongside DGX environments and the NVIDIA AI Factory reference architecture. The $2.1 billion NVIDIA investment is structured to reflect that their rights to invest only vest as NVIDIA GPU infrastructure is deployed across IREN campuses and only fully vest upon deployment of 600,000 GPUs. NVIDIA's capital is directly tied to execution. That's not a passive financial investment. NVIDIA is a partner who wins as we deliver the $3.4 billion AI Cloud contract announced today. Supporting NVIDIA's own internal workloads is the first step in that partnership."
"In terms of the 5 gigawatts more broadly... that's obviously a lot of capital today. But the reality is you don't need all that capital day one. There's an S curve of construction that takes time... the funding for that just is progressive over time. As we continue to deliver, we continue to drive revenue. We can reinvest that revenue in CapEx, and it continues to unlock more and more financing sources over time. Part of the partnership with NVIDIA, we've announced they've got the ability to invest in IREN as we commission GPUs. But equally, there's other support mechanisms being discussed to the extent that we need them."
"When you look at the GPU financing, which is the lion's share of that CapEx, the Microsoft contract is a great template. We financed 95% of that CapEx at an average interest rate of about 3% through prepayments and GPU financing. So the capital is out there. As long as you sign good contracts and you show that you can execute and operate this capacity."
02.3$/MW 단가 비교 (anchor pricing)
02.4이번 딜의 임팩트 — 4개 측면
H2 FY26 capex만 $3.5B인데 4월말 cash $2.6B만 있음 → ATM/컨버터블/GPU financing이 강제. NVDA $2.1B이 vesting 따라 들어오면 ATM 한도 $5.62B 중 약 37% 상응 자금원 확보. 단 즉시 cash가 아닌 "GPU deploy → vest → 행사" 구조라 단기 유동성에는 도움 안 됨. 단기 dilution 압력은 NVDA 딜과 무관하게 진행되는 점 시장이 놓치기 쉬움.
이전: MS 한 곳 $9.7B 단일 의존, "MS 협상력 비대칭" 우려.
이후: MS $1.94B + NVDA $0.7B + 기타 $0.5B = $3.1B contracted ARR. MS 비중 100% → 62%로 분산. 두 anchor 모두 시총 $1조+ 기업이라 카운터파티 리스크 0. NVDA 시그널 효과로 다른 hyperscaler들이 IREN 줄에 서야 할 압력 형성.
기존 IREN 디스카운트 3대 요인:
① BTC 마이너 출신 → "AI 변신 진짜 가능?" 의심
② 호주 본사 + 신생 → 거버넌스 우려
③ 단일 고객(MS) 의존
NVDA 딜이 3가지 모두 한방에 해소. 컴프: CRWV ~30x NTM revenue, IREN ~10-15x. 갭 50%+ 좁힐 명분 생김.
NVDA 자본/계약 약정 규모로 본 위계:
· CoreWeave: ~$100M 시리즈 C 투자
· Nebius: $700M 직접 투자
· Lambda: 소규모 + 공급 우선권
· IREN: $2.1B equity right + $3.4B 계약
→ IREN이 NVDA-약정 규모 면에서 단숨에 1위 등극.
02.5리스크 — 균형 시각
IREN 호주 법인 + NVDA 시장 점유 우려로 외국인 투자 심사 가능성. 클로징 지연 또는 조건부 승인 리스크.
행사 여부는 NVDA 결정. 주가 $70 이상 유지 못 하면 dead option. + GPU vesting 진척이 느리면 vest 자체가 늦어짐.
MS+NVDA = 88% of contracted ARR. 둘 중 하나 재협상 시 IREN 매우 약함. 단 두 곳 모두 신용 리스크 0.
NVDA가 IREN의 가장 큰 hardware 공급사 + 큰 고객 + 주주가 됨. 향후 GPU pricing 협상력 제한 가능성.
5GW Site-by-Site
North America 중심 → Europe + APAC 확장. 모두 secured power (pipeline 아님). 사이트별 status, capacity, anchor, timeline 정리.
03.12026 Plan — 480MW AI Cloud Capacity
+ 50MW air-cooled retrofit — H2 2026 GPU 배송
+ 60MW NVDA contract (2027 추가 250MW air-cooled 중)
03.2EU & APAC 확장 (2026 신규)
Spain의 매력: AI policy 우호 + 풍부한 재생에너지 + 낮은 build cost + 유럽 demand 연결성.
permitting은 이미 advanced 단계, 기존/신규 고객으로부터 EU 캐파 직접 요청 받는 중.
APAC 인구 4.8B (세계 60%) — Indonesia/Singapore/Japan/Korea 수요 흡수. 해저케이블 직접 연결.
"Texas가 더 쉬운 시장이라 그쪽이 먼저였지만 호주 incubation 지속, 이제 가속화."
03.3Build-out Timeline 요약
03.4Mirantis — Software Stack 추가
· $625M 전액 IREN 보통주로 인수, 약 10M주 발행 (현 주가 $60 기준)
· 1,500+ 엔터프라이즈 고객 / 10년+ 클라우드 인프라 운영 경험
· Cordon AI 플랫폼: bare metal + VM + Kubernetes 환경에서 AI 인프라 관리
· NVIDIA AI Cloud Ready 창립 ISV 파트너 — NVDA 생태계 깊숙이 박힌 회사
· 의미: IREN이 GPU-as-a-Service에서 AI Cloud "platform"으로 stack 상향 → 멀티플 정당화 + NVDA 계약의 "managed services" 부분 직접 deliver
Capital Structure
발행주식수, ATM, 컨버터블 5종 + capped call, NVDA 워런트, Mirantis 인수 — 모든 dilution 변수의 정량 분석.
04.1현재 발행주식수 (확정)
Loan-funded shares 521,206주 포함
04.2ATM 현황
04.3컨버터블 5종 — 시리즈별 정리
04.4주가별 컨버터블 순희석 — Capped Call 헤지 반영
$20.98
$25.86
$51.40
$82.24
$85.63
$120.18
· S < K → 전환 안 됨 → 희석 0
· K ≤ S ≤ C → 은행이 (S−K) 상응 주식을 IREN에 인도 → 순희석 ≈ 0
· S > C → 은행은 (C−K)까지만 커버 → (S−C) 부분만 희석
슬라이더 움직여 보세요
04.5"$82.24 클럽" — 핵심 분기점
경영진이 컨버터블 발행하면서 "$82까지 안 넘기면 희석 없게 해달라"고 은행에서 보험을 사놨음. 현재 $60대 주가가 $82을 넘는 순간 시장의 희석 인식이 비선형으로 점프. 또한 NVDA strike $70 + cap $82.24의 $12 갭이 IREN의 자금조달 sweet spot.
04.6전체 잠재 희석 — 종합
Valuation Scenarios
풀 5GW 가동 시 매출/EBITDA/NI 시나리오. Point estimate가 아닌 path 모니터링이 정답 — 그럼에도 frame을 줘본다면.
① "5GW"는 secured power지 GPU 가동 캐파가 아님 — PUE/cooling 빼면 실제 IT load ~3.5GW
② Capex 규모가 시총보다 훨씬 큼 — 5GW 풀 deployment 자본 소요 $100~150B (현 시총 $20B)
③ 도달 timeline이 5년이 아니라 7~10년 — 사이트별 전력공급/허가/건설 2~4년씩
④ GPU 가격이 시간에 따라 변함 — 현 anchor pricing $10M/MW는 GPU 희소성 프리미엄, 5년 후 $5~8M/MW로 수렴 가능
05.1시나리오 4종 — 풀 5GW 가동 시점 (~2033)
2.5GW만 가동, $6M/MW
EBIT $3.3B
NI $1.1B
−63%
3.5GW IT load, $9M/MW
EBIT $11B
NI $6.4B
+220%
3.8GW, $11M/MW anchor 우위
EBIT $18B
NI $11.6B
+700%
AI 슈퍼사이클
+1,150%
* Net debt ~$30B 가정 (현 $1.4B → 확대)
05.2대안 검증 — EV/MW Comparable Analysis
05.3확률 가중 Fair Value
= (0.25×22) + (0.5×192) + (0.2×483) + (0.05×750)
= 5.5 + 96 + 96.6 + 37.5 = $235.6 (단순 산술)
↑ Bear 시나리오 path-failure 리스크 ~30% 추가 차감 → ~$170
05.4"MW Commissioning 단순화 Framework"
· Anchor 계약 100MW + commissioning: +$8B EV
· Commodity 100MW commissioning: +$5B EV
· 단순 power secured 추가 100MW (안 지어진): +$1B EV
현재: EV $22B, ~600MW 운영 → 풀 5GW (3,500MW IT): EV ~$300~400B 가능
매분기 모니터링 포인트는 단 하나: "이번 분기에 몇 MW가 commissioning 됐고, 어떤 단가로 anchor 됐는가?" 이게 시간당 가장 빠른 가치 변동 트리거.
Q3 FY26 Earnings Call
2026.5.7 컨콜 전문 — Presentation 부분 + Q&A 부분 모두 원문 보존. 질문자 / 응답자 명시.
06.1Presentation
Good day and thank you for standing by. Welcome to IREN Q3 FY 2026 results. At this time, all participants are in listen-only mode. After the speakers' presentation, there will be a question-and-answer session. Please advise that today's conference is being recorded. I would now like to hand the conference over to your first speaker today, Mike Power Vice President of Investor Relations.
Thank you, Operator. Good afternoon, and welcome to IREN's Q3 FY 2026 results presentation. I'm Mike Power, VP of Investor Relations. With me on the call today are Daniel Roberts, co-founder and co-CEO, Anthony Lewis CFO, and Kent Draper Chief Commercial Officer.
Before we begin, please note that this call is being webcast live with an accompanying presentation. Certain statements made during this call may constitute forward-looking statements... With that, I will turn the call over to Dan Roberts.
Thanks, Mike. And thank you, everyone for joining us today.
Eight years ago, when Will and I founded this business, we spent a lot of time thinking about what the digital future actually meant for the physical world. We talked about films like The Matrix and Ready Player One, not as science fiction, but as a signal — world where digital adoption was total, instantaneous and infinite.
The insight we kept coming back to was this: digital adoption curves can go from 0 to 1 overnight. But the real world doesn't scale that way. Power infrastructure and data centers — these take years to permit, finance and build. The bigger the demand, the harder delivery becomes. That gap between exponential digital growth and the physical world's ability to service it. That structural disconnect is exactly what we set out to solve. That scarcity is now defining where AI infrastructure gets built and who can build it.
Eight years later, that thesis is playing out exactly. And this quarter, we demonstrated what disciplined execution against it looks like at a global scale.
In AI infrastructure, secured power is only valuable if it can be converted into customer-ready compute. That conversion is hard. It requires site control, grid connection work, permitting, design, procurement, construction, GPU installation, networking, commissioning, financing, and customer delivery — all coming together on tight timelines. IREN's strength is bringing those pieces together. We have experienced site teams, standardized designs, and repeatable construction processes that allow us to build across multiple sites in parallel.
That execution capability is showing up in the numbers. More capacity. More revenue. Stronger funding certainty. And in the partnerships we are announcing today.
Let me run through the highlights:
On capacity, we increased secured power to 5 gigawatts, added new sites in Europe and APAC, energized Sweetwater One on schedule and have Horizon 1 GPU commissioning now underway for Microsoft. All of our operational capacity is fully contracted. We are not chasing demand. We are racing to build supply fast enough to meet it. The moment compute comes online, it goes to work. That is the nature of the structural imbalance. And it is why time to compute is the most important metric we track.
We increased ARR under contract to $3.1 billion. We remain on track to hit $3.7 billion exiting calendar 2026. And this week signed a $3.4 billion five-year AI Cloud contract with NVIDIA. The first step in a broader strategic partnership I will come to in a moment.
On capital, we had $2.6 billion of cash at April 30, and we continue to progress GPU data center and corporate level financing initiatives to support the next phase of build out.
But the headline today is the NVIDIA partnership, and it deserves a little more than a bullet point. Let me explain what this partnership actually means.
We are working with NVIDIA to support deployment of up to 5 gigawatts of NVIDIA-aligned AI infrastructure across our global data-center platform, alongside DGX environments and the NVIDIA AI Factory reference architecture. The $2.1 billion NVIDIA investment is structured to reflect that their rights to invest only vest as NVIDIA GPU infrastructure is deployed across IREN campuses and only fully vest upon deployment of 600,000 GPUs. NVIDIA's capital is directly tied to execution. That's not a passive financial investment. NVIDIA is a partner who wins as we deliver the $3.4 billion AI Cloud contract announced today. Supporting NVIDIA's own internal workloads is the first step in that partnership.
Eight years ago, Will and I set out to build the infrastructure the digital world would need. Today, the world's leading AI infrastructure company has chosen IREN as the partner to help build it.
[Plan walkthrough — 2026 / 2027 / 2028+]
In 2026, we are targeting 480MW of AI cloud capacity, 150,000 GPUs, and $3.7 billion of ARR by year-end. In 2027, we are scaling to 1,210MW, with an additional 730MW currently under construction across British Columbia and Texas. Beyond 2027, we are building against a 5 gigawatt global power portfolio in North America, our new European platform in Spain, and an APAC pipeline anchored by large-scale Australian opportunities.
One more thing. This week we welcome Mirantis into the IREN family — 650 engineers, operators, and customer support professionals who have spent more than a decade running cloud infrastructure for over 1,500 enterprise customers globally. To Alex and the whole Mirantis team, welcome.
[2026 Build Detail]
The 300 megawatt Horizon 1-4 liquid cooled deployment at Childress, where NVIDIA GB300 NVL72 installations are now underway. Horizon 1 is scheduled for Microsoft handoff in Q3, and Horizons 2 to 4 remain on track for delivery by the end of this year. We have around 3,000 workers on site right now.
Alongside the liquid cooled build, we are also converting existing air cooled capacity into AI cloud deployments across British Columbia and Childress. At Prince George, all air-cooled GPUs have now been delivered. At Mackenzie, 80MW has been prepared for GPU installations commencing in the second half of 2026. At Childress, retrofits are underway across an initial 50MW.
We now have $3.1 billion of ARR under contract, including approximately $700 million of ARR associated with a $3.4 billion five year contract for Blackwell GPUs to be deployed across 60MW of capacity at Childress for NVIDIA. We are targeting $3.7 billion of ARR by year-end across 150,000 GPUs.
[2027 Plan]
In 2027, the pipeline platform scales to 1,210MW. Childress continues to be the largest single contributor — 100MW additional liquid cooled IT load for Horizons 5 and 6, plus 250MW of additional air cooled retrofits. Of that 250MW, approximately 60MW will be deployed to support the NVIDIA AI Cloud contract.
At Sweetwater One the high voltage substation has been energized on schedule, and construction is now underway for the initial 200MW IT load phase. Sweetwater One is being designed for next-generation chip architectures, including the NVIDIA Vera Rubin. Like Childress, we are deliberately sequencing the build so that the first phase creates the backbone for faster subsequent phases.
[5GW Global Platform — North America / Europe / APAC]
We now have 5 gigawatts of secured power. That is not a pipeline number or an aspiration — that is secured power, and it represents one of the largest portfolios assembled for AI infrastructure anywhere in the world.
North America: Sweetwater and Kiowa, our flagship gigawatt-scale campuses in Texas and Oklahoma, expected to commence ramping across 2027 and 2028. Multiple development projects advancing through connection processes, including batch 0 candidates in Texas.
Europe: Today we announced the acquisition of Nostrum Group — adding 490MW of secured power in Spain, a gigawatt-scale development pipeline, and a team of more than 50 people. Gabriel Nebreda, who spent nearly two decades in European energy at EDP Renewables, most recently as CEO of EDP Solar, is leading IREN's European platform.
APAC / Australia: Roughly 4.8 billion people, around 60% of the world's population, including some of the fastest growing AI demand markets — Indonesia, Singapore, Japan, Korea. Australia is uniquely positioned with abundant renewables, trusted jurisdiction, strong rule of law, and direct fiber links into major demand centers across the region.
[Mirantis]
This week we welcome Mirantis into the IREN family. 650 people joined IREN this week — a team that has spent more than a decade building and running cloud infrastructure for over 1,500 enterprise customers globally. Their Cordon AI platform manages AI infrastructure across bare metal, virtual machines and Kubernetes environments. They are also a founding ISV partner of the NVIDIA AI Cloud Ready initiative. They will play a central role in supporting our NVIDIA AI Cloud contract.
So what you've heard today is a company that has secured power at scale, is contracting revenue at scale, and is now building delivery capability at global scale. Anthony Lewis will now walk you through how we are funding it.
Thanks, Dan. The capital strategy is designed to support the phased build out of capacity Dan discussed, while maintaining flexibility and capital discipline.
As of April 30, we had $2.6 billion in cash and cash equivalents. We expect this together with operating cash flows, GPU financing, and additional financing initiatives to support our near-term CapEx program, which includes delivery of the Microsoft contract and deployment of air cooled capacity across Mackenzie and Childress.
For GPU CapEx, we are leveraging secured debt and customer prepayments. Approximately 95% of Microsoft GPU related CapEx is expected to be funded through prepayments and GPU financing, and we have work streams underway for additional GPU financing to support upcoming deployments.
On the data-center side, we expect our financing approach to evolve as projects move from development to construction and contracting, and ultimately to stabilized operations. Early stage development can be supported by balance sheet capacity and corporate level sources. As projects reach construction and customer contracting milestones, asset and project level financing can be introduced. As assets are stabilized, refinancing and capital recycling can help support future builds.
[Q3 FY26 Financial Results]
Revenue was $144.8 million for the March quarter, compared to $184.7 million in the prior quarter. Within that, Bitcoin mining revenue was $111.2 million, down from $167.4 million, driven by a lower average Bitcoin price and the ongoing decommissioning of mining hardware ahead of GPU installations. This was partially offset by continued growth in AI cloud services revenue, which increased to $33.6 million compared to $17.3 million in the prior quarter.
Net loss for the quarter was $247.8 million, impacted by non-cash impairments of $140.4 million primarily related to the decommissioning of mining hardware, as well as $23.7 million of unrealized losses related to capped calls associated with our convertible notes. As we continue to transition our remaining Bitcoin mining operations towards AI cloud, we expect to incur additional non-cash impairments.
Adjusted EBITDA was $59.5 million, compared to $75.3 million in the prior quarter.
As Dan noted earlier, we continue to target $3.7 billion in ARR by the end of calendar 2026. We expect that ramp to be back-end weighted with Microsoft revenue and revenue from the additional 5,000 GPUs procured during the quarter.
I will now turn back to Dan for closing remarks.
Thanks, Anthony. So eight years ago, Will and I asked a simple question: what does the world need to build the right digital future? The answer was power, land, data centers and compute — and the ability to bring them all together at scale faster than anyone else.
Today, that thesis is playing out. We are just getting started. With that, we will open the call for Q&A.
Hey, good afternoon. Thank you for the questions and congratulations on all the progress. I just had two questions, if I could.
First, [on the] five-year NVIDIA AI Cloud contract. I was just wondering if you could talk a little bit about how many GPUs are being supported by the 60MW and the cost per GPU.
Second, for Sweetwater and Oklahoma, I think you mentioned the data-center capacity is coming in 2027 and 2028. I'm just wondering if you could talk a little bit about at what point do those sites become marketable, or maybe they already are. And what milestones do you typically need to hit to increase the likelihood of a tenant being willing to take that out?
With respect to your first question, we haven't disclosed the specific amount of GPUs, but as we mentioned on the call, approximately 60MW of air cooled Blackwells. And we think that the contract value that we're getting, and obviously the relationship that we continue to build with NVIDIA, is very beneficial. Importantly, this is a managed services deployment. And so it shows our ability to be able to service different segments of the market as we move forward.
With respect to your second question, as Dan mentioned earlier, we are still seeing extremely strong levels of demand within the industry, certainly outstripping supply. Capacity becomes increasingly scarce further out than people were expecting. If we rewind even a number of months ago, 2027 — people were thinking that there was a relatively decent amount of capacity available. We're already seeing that capacity available in 2027 is extremely scarce, and that is continuing to push into 2028 now as well.
So for us, there is certainly the ability to market those sites for 2027 and 2028 online dates. We're working through the type of customers that we bring into the mix. Certainly the demand signals are very strong.
Maybe just add to that quickly — to directly answer the question, there's nothing stopping us contracting that capacity today. It just gets easier the closer you get. So the focus is on time to compute. The demand we know is there, and it just makes the conversations and the negotiations that we are having live time much easier when you've got a defined construction and delivery plan.
Thanks so much and congrats on all the progress. I wanted to ask about air cooled GPUs in general. So it sounds like with the 60MW deployment at Childress for NVIDIA, that will be an air cooled deployment along with the rest of the uncontracted capacity that you're deploying across British Columbia and Texas. Air cooled is going to represent a meaningful part of the strategy.
I just wanted to ask how you see efficiencies as well as hardware performance looking so far, based on the deployments that you've planned for, and how we can look at that from a financial perspective as well.
In terms of efficiency and performance, what we're deploying across the air-cooled portfolio is the latest generation of NVIDIA air cooled GPUs being Blackwell. So they perform extremely well. There is very high demand for those across all Blackwell GPU types. And we certainly continue to see other customers finding a very good degree of performance versus cost efficiency from those units over time.
Just wondering, with sort of retrofitting and repurposing of Bitcoin mining infrastructure for these air cooled deployments, how that seems to be working out, maybe from a margin perspective relative to some of the liquid cooled deployments that you're doing around the Horizon projects.
From an operational margin perspective, it is slightly more efficient than the liquid cooled deployments. But where we get the real benefit is, as Dan mentioned earlier, it's very capital efficient because we're taking existing air cooled data centers that require relatively little CapEx to retrofit them compared to brand new build, liquid cooled facilities. So that is the major difference. At an operating margin level, yes, air cooled is probably slightly higher, but immaterial.
If I could just sneak one more in around Europe and the Nostrum acquisition. As we think about the roadmap there, are you looking to use a similar form factor to what you've used, either at Horizon or with air cooled facilities, or is there a bespoke form factor you plan to leverage from that platform as you do the European rollout?
One of the things that attracted us to the Nostrum Group opportunity, and we've been looking at Europe for a while, is that it did have significant land holdings that came as part of that and access to a large amount of secured power. So that gives us quite a large degree of flexibility as we build out that platform over time.
As to the form factor that we use, typically in Europe, you do tend to see slightly more condensed build outs, but we do have the ability there to utilize our typical modular design that we use across North America, which obviously may well bring construction advantages with it.
Perfect. Thanks, guys. Congrats on the multiple acquisitions over the last week and the NVIDIA partnership and deal.
I wanted to touch on Mirantis a bit because I thought that was important to the long-term story. Could you maybe just elaborate how that fits into your go-to-market motion, how it might accelerate your go-to-market motion when it comes to landing these enterprise deals, which is also what it seems like NVIDIA partnership wants you to do as well.
It brings with it a number of elements that we think are significantly attractive to our business. The ability to deploy quickly, the ability to service enterprise customers that may require a higher level of software over and above bare metal.
They also, as a large company that has very big internal engineering resources, bring very good capability on the software development side. And that can flow through to the business not only in terms of the software stack, but also the operations of these large clusters more generally.
And further to that, again, having serviced customers for decades, they have an extremely well built out customer support function internally. So all of those elements are things that attracted us to the Mirantis team.
If I could maybe just do a follow up, just double clicking on the capacity ramp for '27. Am I right in thinking that of the 730MW, 450 will come from the remaining Childress capacity? And I guess the 280 would be coming from Sweetwater?
That's correct.
Yeah Thank you Operator. Hi everyone. Guys, congrats on all the developments here. I know the IREN team has a lot of experience in developing infrastructure in Australia, but maybe less so under the IREN platform. So I was curious if you could walk us through some of the key differences, specifically in power procurement, maybe commercial strategy, so on and so forth.
In some ways, Australia's very similar to other markets. The operation of the electricity market in Australia, managed by AEMO, is very similar to what we see in Texas as ERCOT. There are markets in Australia which resemble Texas in other ways — lots of land, good transmission line capacity, good fiber connectivity and abundant renewables which aren't located close to other demand centers, similar to what we see in West Texas. So there are a lot of parallels.
The reality is Texas is just an easier place to do business, and we've been able to accelerate faster there. But it hasn't stopped us continuing to incubate projects down in Australia. And we're getting far closer to those projects, becoming a bit more of the reality. The demand environment and the ability to service APAC and the demand constraints we're seeing in our conversations with hyperscalers mean that Australia looks like a fantastic frontier for us, and we'll look to accelerate that in parallel with North America and Europe.
Hi guys. Thanks for taking my question. Congrats on the progress. How should we think about regional customer mix as the platform expands? Are certain markets globally better suited for enterprise and sovereign AI customers versus hyperscalers? And does that change the expected contract structure or margin profile?
Look, it's going to evolve. And there's a lot of unknowns around this. But if you break it down, hyperscale contract can mean two things. It can mean hyperscalers using capacity for their own purposes in terms of training and servicing workloads, such as their own AI models. Or it can mean they're just acting as intermediaries to aggregate capacity for end customers that we're talking to directly. So obviously, in the case of the latter, whether you're dealing with a hyperscaler or going directly to the end customer, the end demand is the same.
Then you've got different types of workloads. Inference is a little more latency sensitive. Training, you can probably afford a bit more latency. Indicatively we've had conversations around training models in Australia. Yes, the USA to Australia is a long geographic distance, but it's actually not that far over fiber, particularly where you're talking about training models.
Our objective is to build out an expansive ecosystem of end customers. The partnership with NVIDIA is designed around that. The Mirantis integration is designed to help facilitate that over time.
Can you help bridge the 490MW in Spain from secured power to time to first token? What has to happen before construction begins?
That is secured power and the sites across the portfolio are secured as well. So from here it's a matter of working through final design, permitting (which is already well advanced at a number of those sites) and then ultimately construction of those facilities.
One of the elements that we found very attractive was the near term security of power. That is power that is available on a timeline that we think is going to tie in very well to general European demand. And we are already seeing a number of direct requests from existing and new customers for European capacity.
Hi, this is Austin Ortiz on the line for John Todaro. Maybe just a quick question on how you intend to finance the build out for the recently announced NVIDIA deal? Seems to be around 5 gigawatts, so just any color on that would be helpful.
I can take that. So the CapEx involved for the retrofitting of the air cooled data centers in Childress is pretty modest in the scheme of things. In terms of the CapEx for GPU, obviously, we've got a range of financing sources available to us that obviously includes initiatives at the corporate level, but we can also look to finance GPU acquisitions in various ways in the debt capital markets through debt capital as well. So we'll be looking at all those initiatives.
In terms of the 5 gigawatts more broadly, that's obviously a lot of capital today. But the reality is you don't need all that capital day one. There's an S curve of construction that takes time. It takes years to deliver this. This is the whole point around time to compute. It's not just a case of getting power and land — it's assembling multi-thousand construction teams and actually delivering it.
The funding for that just is progressive over time. As we continue to deliver, we continue to drive revenue. We can reinvest that revenue in CapEx, and it continues to unlock more and more financing sources over time. Part of the partnership with NVIDIA, we've announced they've got the ability to invest in IREN as we commission GPUs. But equally, there's other support mechanisms being discussed to the extent that we need them.
The reality is capital markets are open. They've been very supportive of our plan. There's a whole world of capital out there in terms of other options. When you look at the GPU financing, which is the lion's share of that CapEx, the Microsoft contract is a great template. We financed 95% of that CapEx at an average interest rate of about 3% through prepayments and GPU financing. So the capital is out there. As long as you sign good contracts and you show that you can execute and operate this capacity.
Thanks guys. Good morning. Good afternoon. My congratulations here as well on the great progress. Just a couple of thoughts on demand out there. I know you threw out a 3.1 billion contracted going to 3.7 billion contracted in ARR exiting the year. Your confidence in that uncontracted capacity and signing contracts — how is the demand out there for that say extra half a billion of ARR and what kind of clients you may be looking to bring on board there?
Look, again, we're trying to reiterate this as much as we can, and I'm very happy for someone to point it out. But there are no idle GPUs and the prospect of there being GPUs sitting there unused, given how structurally constrained this market is — let alone the near term, but in the medium term — it's not the focus.
We are having a lot of customer conversations, but all of our operational capacity is fully contracted. We're contracting substantial portions of capacity before it even arrives. We're in discussions with a variety of customers all the way from hyperscale clients down to AI native labs for all of that 2026 and 2027 capacity. So when a signature is put on paper it just flows naturally. Our conviction is around the demand/supply, and you cannot tap into that unless you bring the capacity online. A customer contract doesn't deliver revenue. Having compute online delivers revenue.
Many of the same things. The one addition I would add is particularly for our air cooled capacity, where we are adding substantial amounts across second half of 2026 and into the early part of 2027, there is very significant demand on those timelines. That is the most constrained portion of the market, and that is directly what is leading into the dynamic that Dan discussed where there just are not GPUs that are not being used in this market.
If you are in the catbird seat here relative to fulfilling demand from multiple parties, how are you looking at your broadening, deepening, diversifying that customer mix over time?
It's something that we're looking closely at. There is no set formula as to the proportional splits between different types of customers. There are benefits in having hyperscale clients in terms of financeability, contractual certainty. But there are also consequences in terms of price because you're not servicing the end customer in many of those instances.
The ability to service the end customer has been something we've focused on since day one. All of our early deployments have been very focused on non-hyperscale customers and getting as close to AI natives and enterprise as we can. So the Mirantis acquisition certainly helps that. The reality is that that blend will just emerge organically over time. This again is part of the close working relationship we've got with NVIDIA. We've spent a lot of the last fortnight in their San Jose office working through how we service all types of customers.
Speaking to someone the other day — you don't need a sales team in this market, particularly when you've got NVIDIA. They see the whole ecosystem, the introductions, the referrals, putting us in touch with anyone that needs capacity. It's just happening so organically, so quickly live time.
Hey. Yeah. Good afternoon and thank you for taking my question. So I was curious a little bit on older generation GPUs. I know you've talked in the past, as you've seen the useful life of older generations for like H100 extends out further than maybe people originally thought. So I'm kind of curious what you're seeing on the demand profile there and what potential type of workloads are going on to those older generation GPUs.
The comments that we made about no idle GPUs — that applies to all GPUs, not just the latest generation. So older generations, A100s, H100s, H200s are all effectively fully utilized across the industry. The demand picture continues to be strong. In some instances you're actually seeing pricing for older generation units climbing significantly. There's a number of observable pricing points out there in the market where you can see that happening.
The type of demand may shift over time. You may have older generations being used more for inference, but those older generations are equally suitable for certain types of training. So we just see strong demand across the board, both on the inference and the training side. That continues to drive demand and elongated life cycles for those older generations of equipment.
On potential future conversations that you're having for potential contracts down the line, is there any talk of prepayment structures similar to that of Microsoft, or just curious what you're hearing in the market on that end?
It certainly plays a role in a number of those conversations. We are still seeing prepayments being on the table in a large number of instances. Now, it obviously factors in as part of the overall equation. So it's not the single factor that you're looking at. Everything has to go together with a combination of term length, prepayment, creditworthiness, price. But prepayments are certainly very much on the table in the current environment.
Thanks, operator. Thanks, everyone for joining us today. We remain focused on execution — delivering the 2026 plan, advancing the 2027 build out, and positioning our now global platform for the opportunity beyond that. And we look forward to updating you as we deliver. Thanks, everyone.
Catalyst Watchlist
매분기/매월 모니터링해야 할 6대 인디케이터. 각 catalyst가 fair value를 동적으로 재평가하는 트리거.
07.1핵심 모니터링 포인트 6개
07.2분기별 체크리스트 (다음 분기 = Q4 FY26, 2026.8월)
✓ Horizon 2-4 build 완료 진척
✓ 3rd anchor 계약 (Anthropic / Meta / Google 등)
✓ Sweetwater 1 first 200MW 건설 진척 / partial commissioning
✓ NVDA 첫 vesting 발생 announcement
✓ Mirantis / Nostrum 클로징 완료
✓ ARR contracted $3.5B+ 도달
✓ AI Cloud 매출 $50M+ /quarter
✗ ATM 사용 가속화 ($1B+ /분기)
✗ NVDA 딜 클로징 지연 / 규제 이슈
✗ 추가 컨버터블 발행 (전환가 더 낮은)
✗ 추가 BTC 마이닝 hardware impairment 대규모 발생
✗ MS 또는 NVDA 계약 수정 / cancel 옵션 행사
✗ AI GPU 가격 급락 / 단가 압력
✗ 호주 / 스페인 사이트 timeline 후퇴
07.3Action Implication for Position Management
각 catalyst를 (+1 / 0 / -1)로 점수화하면, 분기별로 fair value가 자동으로 재평가됨.
예시 (이번 분기 Q3 FY26 score):
· NVDA 딜 발표 = +1
· Mirantis 인수 = +1
· Nostrum (EU 진출) = +1
· Sweetwater 에너자이즈 = +1
· Q3 FY26 어닝 미스 (BTC 마이닝 transitional 손실) = −1
· 컨버터블 캡드콜 unrealized loss = −0.5
Net = +2.5 → 시장 +11.4% 반응 적정
이런 식으로 분기마다 net score가 +면 fair value 상향 조정, − 면 하향. 최종 fair value $170에서 시작해 catalyst score에 따라 매분기 재계산.