Compare moats

One-of-a-kind silicon sold to very few buyers: the IPO prospectus discloses G42 at 24.0% of 2025 revenue (85.0% in 2024), MBZUAI at 62.0% of 2025 revenue, and a December 2025 MRA with OpenAI representing 'a substantial portion of our projected revenues over the next several years' — against a competitive field the same document names as NVIDIA, AMD, Intel, hyperscaler accelerators and the major clouds.

source: sec.gov

The FY2026 10-K (filed 2026-08-27) shows IREN holds an input the industry competes on: it names 'access to secured and energized power' first among what it believes are the principal competitive factors in its industry, and reports 'executed grid connection agreements, letters of agreement or equivalents representing approximately 5GW of total power capacity' in the United States, Canada, Spain and Australia as of June 30, 2026. It does not claim an advantage over rivals in that input. It says 'Certain competitors may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections,' and 'Many of our competitors have greater financial, technical or commercial resources, longer cloud operating histories or larger customer bases, compared to us.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026, and the stored XBRL fundamentals from this 10-K show an FY2026 operating loss of about $1,046.7M on revenue of about $707.0M, so no durable advantage is yet demonstrated.

source: sec.gov

The FY2025 20-F positions Nebius as 'one of the few global, at scale, multi-tenant clouds purpose built for AI,' but the same filing names its central dependency plainly: 'We currently rely on Nvidia for the GPU chips we use' — a purpose-built neocloud renting a supply the hyperscalers it competes with also control, which is a real but narrow position.

source: sec.gov

Wafer-scale integration is the moat's substance: the prospectus contrasts the WSE-3's 4 trillion transistors on 46,225 mm² of silicon with NVIDIA's B200 at 208 billion on roughly 1,600 mm² — a commercial chip category with one occupant.

source: sec.gov

The FY2026 10-K's asserted advantage is control from owning its data centers, 'including the associated land, grid connections and substations', which it believes allows it 'to benefit from more sustainable cash flows and operational flexibility relative to operators that rely upon third-party colocation services or short-term land leases'. Its only scale language is a belief that its 'procurement scale, deployment experience and direct control over the data center layer' lets it bring new compute into service 'rapidly and at scale', a deployment-speed claim, and it 'generally target[s]' regions with 'low-cost and attractive renewable energy sources', a siting target rather than a demonstrated cost position. It does not claim a cost or scale lead: it says 'Many of our competitors are larger, have longer operating histories and significantly greater resources than we do' and that certain competitors 'may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections.' There is no network effect or lock-in either, since existing contracts have 'terms ranging from month to month up to five years'. No enumerated moat source is grounded.

source: sec.gov

The moat the filing describes is engineering: designs that 'optimize power and cooling efficiency, lower latency' plus 'a consistent track record of being one of the first-to-deploy the latest generation of NVIDIA GPU chips' — density and time-to-deploy at scale, not a switching lock.

source: sec.gov

Scoped to the category the record supports: wafer-scale integration has no other commercial occupant per the prospectus's own comparison, and the Q2 release claims — attributed, via AMD and AWS partnerships — leadership in disaggregated inference, a technique the prospectus defines.

source: sec.gov

The 10-K lists IREN's competitors as hyperscalers (Amazon Web Services, Google Cloud, Microsoft Azure, Oracle Cloud) and specialized AI Cloud Services providers (CoreWeave, Nebius, Crusoe, Lambda, Nscale, SpaceX and others). It says IREN began providing AI Cloud Services in 2024 and cites its 'shorter operating history in AI Cloud Services relative to some competitors', and states 'Some of our competitors have longer operating histories, larger customer bases, more comprehensive IP portfolios and patent protections, more design wins, and greater financial, sales, marketing and distribution resources than we do.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026. The filing describes a smaller, later entrant that trails some competitors on operating history, customer base and resources, with its progress so far resting on two anchor contracts (a ~$9.7B five-year Microsoft agreement and a ~$3.4B five-year NVIDIA contract) rather than any claimed category position.

source: sec.gov

The 20-F's own claim is 'one of the FEW global, at scale' AI clouds — a differentiated challenger to the hyperscalers it names as the competitive field, not a claimed leader of it; the first-to-deploy record is a follower's speed advantage, not category leadership.

source: sec.gov

The CFO states Q2 'significantly improved core gross and operating margins compared to a year ago' — improving, from a base where three named customers hold most of the revenue and the leverage that comes with it.

source: sec.gov

The 10-K's risk factors state 'Our competitors' products, services and technologies may be cheaper or provide better functionality or features than ours, which has resulted and may in the future result in lower-than-expected selling prices or demand for our products.' They also say long-term contract pricing 'is generally fixed or agreed at the time of contracting', so if market pricing for comparable capacity rises during a contract's term 'we will not benefit from those increases with respect to capacity already committed under our existing long-term contracts', and that if customers suffer a downturn or discontinue its services it 'may be compelled to offer more flexible terms, lower our prices or risk losing a significant customer.' The stored XBRL fundamentals from this 10-K show FY2026 revenue of about $707.0M against an operating loss of about $1,046.7M, so there is no margin record yet that evidences pricing power.

source: sec.gov

The filing frames a 'highly competitive' market with 'frequent introduction of new or improved solutions' and a GPU cost base set by a single supplier (NVIDIA) — a renter of compute competing on efficiency has little list-price control.

source: sec.gov

Layer-4 wafer-scale accelerators plus an inference cloud — hardware vendor and specialized cloud in one node.

Downstream AI-cloud operator: owns grid-connected data centers and deploys NVIDIA/AMD GPU systems it rents to hyperscalers, frontier labs, AI developers and enterprises (anchor customers Microsoft and NVIDIA).

Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale.

• CS wafer-scale systems (WSE-3) Leader · Deep source: sec.gov
• Cerebras inference cloud Challenger · Moderate source: sec.gov

• AI Cloud Services (bare metal and managed GPU compute) Unknown · Moderate source: sec.gov
• AI infrastructure software (Mirantis k0rdent AI) Unknown · Low source: sec.gov
• Bitcoin mining (in wind-down) Unknown · Low source: sec.gov
• Owned data centers and grid-connected power portfolio Unknown · Moderate source: sec.gov

• Nebius AI cloud (GPU compute + managed AI/ML platform) Challenger · Moderate source: sec.gov
• Toloka / Avride / TripleTen (non-cloud segments) Unknown · Low source: sec.gov

Editorial prior, not backtested.

see exactly how it voted →

Editorial prior, not backtested.

see exactly how it voted →

Editorial prior, not backtested.

see exactly how it voted →