Neocloud Brief · neocloud stocks · what is a neocloud · neocloud ETF

Neocloud stocks: the public companies renting out the AI buildout

A neocloud sells what AI actually needs — high-end GPUs by the cluster. The category topped $25B in 2025 revenue and is forecast to approach $400B by 2031. Here’s the whole public universe, sorted into the three layers that matter.

Category Neocloud stocks Public names 10+ 2025 revenue >$25B Snapshot Sep 18, 2026

01The 30-second read

Fast read

A neocloud is a cloud provider built almost entirely around renting high-end GPUs — GPU-as-a-Service — for AI training, inference, and agentic workloads. Small against the hyperscalers, but growing at a pace the cloud market has never seen: $9B in Q4 2025 alone (+223% YoY), >$25B for full-year 2025, forecast to approach $400B by 2031.

  1. Cloud layerCoreWeave and Nebius: compute, software, and multi-year contracts
  2. Campus / power layer — Applied Digital, plus former miners pivoting to HPC: IREN, Hut 8, TeraWulf, Cipher Mining
  3. Supply side — the silicon and memory underneath, including the DRAM memory ETF

The through-line: demand is real, but every name on the list spends far ahead of revenue. Contracts are signed years out; cash, power, and delivery arrive later. That gap — not demand — is what the category trades on.

>$25Bneocloud revenue, FY2025
+223%Q4 2025 YoY growth
~$400Bforecast by 2031
10+public names

02What “neocloud” actually means

A neocloud is a cloud provider that specializes in accelerated compute rather than general-purpose cloud. The distinction matters in two directions:

Versus hyperscalers

  • AWS, Azure, and Google Cloud sell breadth — storage, databases, networking, hundreds of services
  • Neoclouds sell scarcity: high-end GPUs, fast interconnect, and the software to run AI workloads efficiently — often at prices that undercut hyperscaler GPU rates

Versus data-center REITs

  • A REIT rents square footage and power
  • A neocloud’s customer is buying compute: the accelerated instance, the cluster, the training run

The category is best defined by which of four bottlenecks a company controls — and a company that controls one bottleneck should not be valued like one that controls several.

BottleneckWhat it means
PowerInterconnection queues, megawatts, gas or nuclear behind-the-meter
DeliveryConverting contracted megawatts into live data centers on schedule
GPU supplyAllocation from Nvidia — and increasingly AMD
SoftwareOrchestration, scheduling, utilization, developer tooling

03The public universe: three layers

Layer 1 — Cloud layer (closest to a true neocloud)

TickerWhat it sellsAnchor facts
CRWVCoreWeave — GPU cloud + software, sold on multi-year contractsQ1 2026 revenue $2.078B; backlog $99.4B (Mar 31, 2026); >1 GW active power, >3.5 GW contracted
NBISNebius — full-stack AI cloud (GPU + platform software)Nvidia partnership supporting >5 GW of Nvidia systems; up to 1.2 GW power/land in Pennsylvania; $17.4B Microsoft + $3B Meta deals

Layer 2 — Campus / power layer (power-site conversion trades)

TickerThe pivotAnchor facts
CORZCore Scientific — miner → AI colocation~1.1 GW contracted and $24B+ base contracted revenue; $14B+ AMD deal (530 MW → up to 2.5 GW); 437 MW billable
GLXYGalaxy Digital — Helios campus, West Texas526 MW IT / ~800 MW gross contracted to CoreWeave on 15-year leases; Phase I delivered Jul 2026; >$1B average annual revenue
IRENIREN Ltd — miner → AI cloud>$4B contracted ARR; $2.8B in new multi-year cloud services (Jul 2026); Microsoft-anchored
APLDApplied Digital — HPC campus developer$36B total contracted long-term lease value
HUTHut 8 — miner → AI data centers$9.8B 15-yr Beacon Point lease (1 GW campus fully commercialized, 704 MW contracted); options to ~$25.1B; $7B River Bend lease with Anthropic/Fluidstack
WULFTeraWulf — miner → HPC hosting$12.8B in AI contracts
CIFRCipher Mining — miner → HPC$9.3B HPC pipeline; AWS leases, Fluidstack, Google AI hosting; 1 GW West Texas; 2.5 GW gas-backed power
BTDRBitdeer — miner → HPCEarlier-stage pivot

Layer 3 — Supply side

TickerWhat it isWhy it matters here
DRAMRoundhill Memory ETFThe HBM/memory basket underneath every GPU cluster — the bottleneck supplying the bottleneck
NVDANvidiaSells the GPUs, invests in the customers, backstops capacity (see the risks below)

Private names to watch (IPO or secondary candidates): Crusoe, Lambda, Together AI, Vast.ai, RunPod, Groq, Nscale, Civo, Vultr, Fluidstack.
Prices, mid-Sep 2026 (as reported): CRWV $81.08 · NBIS $222.13 · IREN $45.99 · APLD $25.20 · WULF $16.11 · CIFR $16.79 · DRAM $59.11. These move fast — snapshots, not quotes.

04The bull case

1 · The demand curve isn’t in question

  • Neocloud revenue hit $9B in Q4 2025 alone, +223% YoY; >$25B FY2025
  • Forecasts cluster around ~$400B by 2031; AI labs are signing capacity years ahead

2 · Contract visibility is unusually high

  • CRWV’s $99.4B backlog, APLD’s $36B contracted lease value, HUT’s $9.8B leases, IREN’s $4B+ ARR
  • Long-dated, signed obligations from creditworthy counterparties — rare for growth names

3 · Power is the moat — and the miners own it

  • Former miners bring energized sites, interconnection rights, and power contracts
  • Converting a 1 GW campus to AI hosting can beat greenfield on time and cost — the re-rating reason

4 · Validation from the top of the stack

  • Nvidia partner deals (Nebius, CoreWeave) and hyperscaler leases (AWS–Cipher, Microsoft–IREN, Anthropic–Hut 8)
  • External confirmation that the compute is genuinely needed

05The bear case

1 · Capex outruns revenue, everywhere

  • CRWV: ~$14–16B 2026 capex vs a $12–14B revenue guide; Nebius: $20–25B capex on a $3.0–3.4B guide
  • A 1,024-GPU H100 cluster needs roughly 75% utilization just to cover costs — small misses compound

2 · Funded with debt, dilution — and vendor money

  • Debt loads, ABS facilities, and equity issuance are the norm
  • Circularity: Nvidia holds equity in customers (its CoreWeave stake was ~1.21% at IPO) while supplying and backstopping them — revenue, debt, and investment trace to the same few counterparties

3 · Concentration cuts both ways

  • The biggest contracts come from a handful of hyperscalers and AI labs
  • One renegotiation, delay, or shift to self-build hits a name hard

4 · The market has already wobbled

  • Two 2026 selloffs: efficient Chinese open-source models (“less compute” fears) and a WSJ off-balance-sheet analysis that knocked Nebius 14% in a morning
  • Watch hyperscaler capex guidance and any Meta move into compute rental

A further wrinkle: the campus/power names are landlords and developers with lease-conversion risk. A Compass Point note argued APLD, WULF, and CIFR were trading below the value of their signed contracts — which can read as either opportunity or skepticism about delivery.

06The numbers

Market-size estimates for this category do not agree. That disagreement is itself informative — the category is young and definitions vary.

SourceFigureHorizon
Synergy Research>$25B FY2025; ~$400Bby 2031
Signisys~$20B (2026) → ~$180Bby 2030
TBRC / GII$26.87B (2025) → $42.17B (2026)56.9% CAGR
GPUaaS (broader market)$49.84Bby 2032, 36% CAGR
NameContracted valuePower / scale
CRWV$99.4B backlog (Q1 2026)>1 GW active; >3.5 GW contracted; targeting 1.7 GW by end-2026
NBIS$17.4B Microsoft + $3B MetaUp to 1.2 GW (PA); >5 GW Nvidia systems; 800 MW–1 GW connected
IREN>$4B ARR; $2.8B new servicesMicrosoft-anchored
APLD$36B contracted lease valueHPC campuses
HUT$9.8B + $7B leases (options to ~$25.1B)704 MW contracted; 8.5 GW pipeline
WULF$12.8BHPC hosting
CIFR$9.3B pipeline1 GW West Texas; 2.5 GW gas-backed

07What could change the story

Bull triggers

  • Hyperscaler capex guidance raised, not cut — the demand ceiling keeps lifting
  • Contracted megawatts convert to live megawatts on schedule
  • Funding stays cheap: more ABS deals and pre-paid contracts at reasonable rates
  • Utilization holds at or above the ~75% cost-coverage line

Bear triggers

  • Hyperscaler capex cuts — the fastest way to re-rate the whole list down
  • Delivery slips (Nebius’s Vineland site is the live example) push revenue right
  • Funding terms deteriorate, or dilution accelerates to plug gaps
  • More efficient models reduce compute intensity per unit of AI progress
  • A major counterparty renegotiates or shifts to self-build (watch Meta)

08FAQ

What is a neocloud stock?

A publicly traded company that monetizes AI compute demand by renting high-end GPUs and related infrastructure — as cloud capacity, AI-factory campuses, or HPC colocation.

What are the pure-play neocloud stocks?

The cloud layer is CoreWeave (CRWV) and Nebius (NBIS). Applied Digital (APLD) is the closest campus-layer pure-play, alongside a cohort of former miners pivoting into HPC: IREN, Hut 8 (HUT), TeraWulf (WULF), and Cipher Mining (CIFR).

Which neocloud stock is the best?

It depends which layer you want: cloud software margins (CRWV, NBIS), power-site conversion optionality (IREN, APLD, HUT, WULF, CIFR), or the supply side (DRAM). This page is research, not a recommendation — the deep pages cover each name’s bull and bear case.

Are neocloud stocks profitable?

Mostly no. The category is capital-intensive by design: revenue and backlog grow quickly, but capex, debt service, and depreciation run ahead of it. GAAP profitability is the exception here, not the rule.

What’s the biggest risk?

Capital intensity plus circularity: heavy debt and dilution, delivery risk on contracted megawatts, customer concentration, and a financing web where supplier, customer, and investor can be the same few companies.

Is there a neocloud ETF?

Yes — since August 6, 2026. The Roundhill Neocloud ETF (NCLD) is the first pure-play neocloud ETF, holding ~21 positions with roughly 58% of assets in Nebius and CoreWeave. The DRAM memory ETF gives supply-side exposure and broader data-center funds carry partial exposure, but NCLD is the closest thing to the basket. See neocloud ETF.

Sources & method