Neoclouds like CoreWeave, Nebius, and IREN are generating far more revenue per megawatt of data center capacity than traditional colocation providers, as GPU rental prices climb and chip/power supply stays tight.

The headline number in this story is a capital-efficiency gap, not a hype number: on the same unit of power, a neocloud extracts roughly 2-5x what a traditional colocation operator does. Bernstein's Gautam Chhugani calculated that CoreWeave generated about $20.8 million of revenue per operational megawatt across fiscal 2024-2025, against $8.4 million for Nebius and $10.4 million for IREN ^[1]. Put those figures next to a standard Tier-1 colocation footprint, which converts a megawatt of leased power and interconnection into roughly $4.44 million a year, and even the least efficient neocloud in this comparison is generating close to double what Equinix- or Digital Realty-style colocation delivers, while CoreWeave is closer to 4.5-5x ^[3].

The reason isn't magic, it's what's actually being sold. Colocation REITs lease power, cooling, and interconnection and let the customer bring its own servers; a neocloud owns and rents out the GPU-dense hardware itself, so every megawatt of power is doing double duty as a megawatt of compute product with its own scarcity premium. Bernstein frames the CoreWeave/Nebius/IREN spread as 'a direct reflection of those different business architectures' ^[2]- and that same architectural logic is what separates neoclouds from colocation on an even larger scale. Part of that premium is operational rather than purely structural: CoreWeave has touted over 50% Model FLOPS Utilization on its clusters, up to 20% higher than some alternatives, and independent rating efforts like SemiAnalysis's ClusterMAX have started scoring GPU cloud providers on exactly this kind of delivered performance rather than raw specs - the sort of differentiation that keeps buyers paying a premium instead of treating GPU rental as a commodity. This is the chart moment: a horizontal bar comparing CoreWeave (~$20.8M/MW), IREN (~$10.4M/MW), Nebius (~$8.4M/MW), and Tier-1 colocation (~$4.44M/MW) would land the finding that CoreWeave generates roughly 4.7x more revenue per megawatt than a comparable Digital Realty or Equinix colocation footprint.

The revenue-per-megawatt framing invites a lazy read: 'neoclouds good, colocation bad.' The data doesn't support that flatness. CoreWeave's $20.8 million per megawatt is roughly 2-2.5x what Nebius and IREN post, and Bernstein specifically called out IREN for lagging its peers on enterprise business development even as its revenue density comfortably beats colocation ^[4]. That gap matters because it shows the metric isn't just capturing 'is this company a neocloud' - it's capturing how far along each operator is in converting raw power capacity into contracted, enterprise-grade GPU revenue. Nebius is targeting 800 MW to 1 GW of connected power as it scales ^[5], but IREN's own AI-specific buildout target is far smaller in the near term: roughly 480 MW of AI Cloud capacity by the end of 2026, stepping up to about 1,210 MW by 2027 ^[10]. What makes that contrast interesting rather than simply unfavorable is the gap between that near-term AI buildout and IREN's total secured power position, which runs to roughly 5 GW globally once North American, Spanish, and pending South Australian capacity are counted ^[10]- a company sitting on a power backlog several times larger than what it has actually converted into AI-specific revenue-generating capacity so far.

That internal variance also shows up in pricing between neoclouds and their largest customers. One buyer comparison circulating among finance-focused accounts on X put xAI's per-gigawatt compute rate at roughly 4x what CoreWeave charges, citing analyst Pierre Ferragu of New Street - evidence that even within the same asset class, negotiating leverage and contract structure can produce multiples of difference in what one customer pays versus another. The consistent thread, whether comparing neoclouds to colocation, neoclouds to each other, or even different customers of the same neocloud, is that revenue per megawatt is really a proxy for pricing power and contract quality, not a fixed property of 'being a GPU cloud.'

What makes this a live story rather than a static comparison is the direction rental pricing is moving: up, not down, despite years of commoditization warnings. H100 one-year rental contracts rose almost 40% between October 2025 and March 2026, from $1.70/hr/GPU to $2.35/hr/GPU ^[6], and Blackwell lead times are reportedly stretching out too as demand outpaces new capacity. That's the opposite of what a maturing, commoditizing market should look like, and it's the mechanism keeping neocloud revenue-per-megawatt elevated even as more capacity comes online.

The bottleneck sits upstream of the GPU itself. Enterprise GPU procurement lead times now run 36-52 weeks, driven by HBM memory and TSMC CoWoS advanced packaging constraints that global memory manufacturers have effectively booked out for 2026 ^[7]. Hyperscalers pouring hundreds of billions into AI infrastructure get priority access to that constrained supply, leaving smaller buyers competing for scraps on the spot market ^[7]- which is exactly the dynamic that lets neoclouds with existing GPU inventory keep raising rental rates rather than discounting to fill capacity.

It would be easy to treat rising GPU rental prices and a five-fold revenue-per-megawatt advantage as an unambiguous neocloud win. The research doesn't support that conclusion cleanly, and the tension is worth stating plainly. The bull case rests on tightening physical supply: Gartner projects power shortages will operationally restrict 40% of existing AI data centers by 2027, with AI server power demand reaching 500 terawatt-hours annually that year - 2.6x 2023 levels ^[8]. If power, not chips, becomes the binding constraint, neoclouds that already control power-dense sites keep pricing leverage indefinitely.

The bear case, which surfaced prominently in investor discussion rather than mainstream press coverage, starts with depreciation math: GPU hardware amortizes over roughly the same window as typical rental contracts, meaning financing and depreciation costs eat a large share of that headline revenue advantage. That risk isn't just theoretical - CoreWeave itself has touted Nvidia's Vera Rubin NVL72 platform as delivering up to 10x more tokens per megawatt than Blackwell, a jump large enough to raise a real depreciation-risk question for currently-deployed fleets: if each new hardware generation delivers a step-change in tokens per megawatt, GPUs bought today could be economically stranded well before their financing terms end, compressing the effective life of the very assets underpinning today's revenue-per-megawatt numbers. (Pushback from that same investor discussion counters that GPUs typically last closer to 10 years than 5, giving operators more profit-generating years than the bear case assumes, and that power rather than chip scarcity is likely to become the real price-setter within 2-3 years as TSMC capacity normalizes.)

Even the market's reaction to Bernstein's own note illustrates how sensitive neocloud valuations are to this exact metric: IREN's stock fell on the revenue-per-megawatt comparison despite Bernstein reaffirming a Buy rating and a $100 price target ^[2], implying investors are already pricing in real uncertainty about whether today's rental rates and revenue density are durable or a temporary function of scarcity. Traditional colocation operators, for their part, aren't standing still either - Equinix, Digital Realty, and peers posted Q3 2025 results even as neoclouds capture the scarcity premium ^[9]. Which side wins likely hinges on whether TSMC and HBM supply normalizes faster than new power capacity comes online, and separately, on whether neoclouds' own customers stay renters rather than becoming competitors - a risk substantial enough that it deserves its own look.

The bear case against neocloud pricing power isn't just about depreciation, it's structural: the same hyperscalers renting GPU capacity from neoclouds today are also the parties best positioned to eventually build that capacity themselves and cut the middleman out. This isn't speculative framing, it's already showing up in markets and expert commentary. In mid-July 2026, CoreWeave's stock dropped roughly 35% on reports that Meta was considering offering its own GPU capacity to the market - the so-called 'Meta Compute' story - even as at least one analyst held a $250 price target on the stock ^[11]. SpaceX has already started selling its excess GPU capacity to other companies, and Meta is reportedly weighing entry into that same market; because a hyperscaler like Meta can add capacity at a lower cost of capital than a neocloud financing GPU purchases through debt, it could compete on price in a way that directly erodes neocloud margins ^[12]. Asked directly whether hyperscalers might eventually reclaim outsourced AI infrastructure work from neoclouds, Bloomberg Intelligence analyst Woo Jim Ho didn't dismiss it: 'It's possible, and don't rule it out.' ^[13]That's not purely hypothetical either - AWS already cut H100 instance pricing by up to 45% in mid-2025, a direct pressure move on neocloud margins from a hyperscaler with far deeper balance-sheet capacity ^[14].

The concentration risk compounds the threat. Microsoft alone accounted for roughly 62% of CoreWeave's 2024 revenue, which means the hyperscaler funding a large share of a neocloud's growth is simultaneously its biggest potential disintermediation risk if it decides renting no longer makes sense. Hyperscalers are also building custom silicon, Google's TPUs and AWS's Inferentia and Trainium chips among them, explicitly to move workloads off merchant GPU capacity and onto infrastructure they fully control, backed by an estimated $600-700 billion in combined hyperscaler capex projected for 2026 ^[15]. None of this means neoclouds lose tomorrow, CoreWeave, Nebius, and IREN all still have real technical and operational advantages in bare-metal performance and provisioning speed that hyperscalers haven't matched at scale. But it does mean the pricing power driving today's revenue-per-megawatt numbers carries an expiration risk that goes beyond simple supply and demand: the biggest checks neoclouds cash today come from the companies most incentivized, and now most vocally rumored, to stop writing them.