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AI Power and Compute Supply Map: Who Has Turned MW Into Contracts?

A visual map of listed AI power, colocation and AI cloud providers, separating secured power, contracted capacity, live AI cloud revenue and still-unproven power options.

This report tracks listed companies that can turn power, data center capacity, or GPUs into AI hosting and AI cloud revenue.

The key distinction is contract proof: APLD, WULF, CIFR and HUT have large long-term AI/HPC leases; IREN has the fastest AI Cloud operating ramp; BTDR and HIVE have early GPU revenue and power options; RIOT, BITF, CLSK and MARA still need larger customer contracts.

AI infrastructure · power-to-compute map · 2026-07-06

Who has really turned power into AI contracts?

The miner-to-AI trade is not one story. It has four stages: controlled power, deliverable data-center shell, signed customer contract, and recurring revenue. The strongest signal is not gross GW; it is how many MW have been taken by creditworthy customers.

Contracts firstGross power ≠ critical IT loadPower options marked separately
1.4 GWAPLD signed critical IT load across five AI Factory campuses
~510 MW+WULF's Fluidstack/Abernathy platform plus a new 401MW Anthropic lease
3.0 GWBTDR global power portfolio, but large colocation leases still pending
5 GWIREN secured power, with the fastest AI Cloud operating ramp

Bottom line: proof-of-contract ranking

A names already have large, long-duration AI/HPC leases with named customers or strong credit support. B names have operating AI Cloud or medium-size contracts. C names own large power positions but still need a hyperscaler-style customer catalyst. D names remain earlier-stage power options.

A

APLD / WULF / CIFR / HUT / CORZ

Hundreds of MW have been converted into long-term AI/HPC leases, making contracted revenue or NOI valuation possible.

The debate shifts from 'can they find customers?' to delivery and financing execution.

B

IREN / CRWV / NBIS

More AI Cloud / neocloud exposure. They have customers and GPU revenue, but valuation depends on capex, GPU turns, and customer concentration.

IREN is one of the fastest miner-to-AI Cloud operators.

C

BTDR / RIOT / BITF / HIVE

They have power, sites, and early AI activity. A large customer contract still determines the repricing slope.

BTDR is a high-beta option on the next major contract.

D

CLSK / MARA

The power portfolio and AI intent are visible, but the current setup is closer to an unmonetized power option.

Watch for customer names, delivery dates, and financing structure.

At a glance: power base vs signed AI/HPC vs expansion

Blue is controlled power or gross capacity, green is signed AI/HPC critical IT load, and gold is disclosed construction or expansion. Each column is normalized to its own maximum: power base max=IREN 5GW, signed max=APLD 1.4GW, expansion max≈CIFR 3.3GW pipeline. AI Cloud ARR, GPU count, and advanced negotiations are not treated as signed MW.

CompanyPower baseSigned AI/HPCExpansionStatus
APLD
2.15GW gross
1.4GW signed
1.51GW planned IT
Large leases2027-28 delivery
WULF
2.1GW+
601MW+
1.8GW+
AnthropicFluidstack
IREN
5GW secured
480MW contracted
2.1GW under construction
AI CloudNVIDIA
CIFR
907MW op/contract
~700MW
~3.3GW pipeline
AWSGoogle-backed
HUT
2.55GW total
597MW signed
1.53GW dev
Fluidstack2027Q2
BTDR
3.003GW total
0MW lease
1.206GW pipe
advanced talksneeds lease
RIOT
1.7GW
50MW
150MW option
AMDexpandable
BITF
350MW+
0MW tenant
350MW
T5 partnerneeds customer
HIVE
850MW+
0MW lease
400MW pipe
BUZZ/Bellearly
CLSK
1.8GW+
0MW tenant
600MW TX
needs first dealpower option

Data audit

The chart separates signed lease MW, disclosed power/capacity MW, and non-MW AI Cloud metrics such as ARR or GPU fleet size. BTDR, HIVE, BITF, and CLSK get zero in signed-MW bars unless a hyperscaler-style long lease is disclosed. HUT is treated as 597MW of signed AI data-center capacity, not only the River Bend project. APLD's expansion bar uses planned critical IT load rather than gross power.

Real map: where the sites are and which regions look friendlier

This section now uses a real OpenStreetMap basemap. Markers are approximate to publicly disclosed campus, city, county, or state-level locations, not street-address coordinates. Green means signed AI/HPC lease, blue means self-operated AI Cloud, gold means pending/in negotiation, and red means earlier-stage or no large disclosed tenant. Larger circles represent larger disclosed MW buckets.

Signed leaseAI CloudPending/talksEarly

Method: locations use publicly disclosed site/city/state-level references; MW is an investment-analysis reference marker and does not treat gross power as revenue capacity.

Texas9/10

Low power costs, ERCOT/PPA flexibility, and mature data-center sales-tax exemptions; regulatory scrutiny is rising.

North Dakota8.5/10

Power and land are friendly, with a clear data-center tax framework.

Louisiana8/10

Act 730 supports data-center equipment and software exemptions.

Kentucky7.5/10

WULF is making Kentucky a second growth pole; interconnect execution matters.

BC / Norway7/10

Hydro/renewable power helps AI Cloud and ESG positioning.

New York5.5/10

Lake Mariner has nuclear/hydro positioning, but energy-intensive workloads face more policy friction.

APLD · North Dakotacontracted
PF1/PF2 disclosed sites, about 700MW IT load; confidential southern campuses are not forced onto the map.
WULF · KY / NYcontracted
Hawesville KY 401MW Anthropic; Lake Mariner NY 200MW+ Fluidstack; Kentucky is the new core.
IREN · TX / BC / OKAI Cloud
Childress, Sweetwater, BC, and Oklahoma; the map shows power base, not all signed lease MW.
CIFR / HUT / CORZcontracted
West Texas, Louisiana, Texas/Oklahoma assets have moved into signed HPC/AI hosting framing.

How to trade the map

Most contract-proven

  • APLD: largest signed critical IT load base.
  • WULF: Anthropic/Fluidstack proof plus Kentucky option.
  • CIFR/HUT: strong lease validation, but execution timing matters.

Highest option value

  • BTDR: very large power base, still waiting for a headline tenant.
  • RIOT/BITF/HIVE/CLSK: power optionality, less contract proof.

Main risk

  • Confusing gross GW with deliverable critical IT load.
  • Financing and grid interconnect timing.
  • Customer concentration and lease economics.

Next evidence to watch

  • Named customers and lease MW.
  • Capex funding without excessive dilution.
  • Construction milestones and energization dates.