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- From Mining Crypto to Manufacturing AI in North Dakota: A $7 Billion Pivot
From Mining Crypto to Manufacturing AI in North Dakota: A $7 Billion Pivot
Applied Digital was bleeding money mining crypto when they realized what was seen liability to many, crypto data centers in ND, was actually their greatest asset. Two years later, they're an NVIDIA elite partner with a $7 billion CoreWeave contract.

Today, I'm looking at Applied Digital (APLD). It's the crypto miner turned AI data center that just announced a new data center in Harwood, ND (a few miles north of my house).
A couple of years ago, they were perpetually losing money in their crypto mining operation. Instead of folding, they realized their North Dakota data centers were perfect for AI.
Two quick stats:
They secured a $7 billion contract with AI compute provider CoreWeave
Their ND "geographic arbitrage" play saves 40-60% on operating costs
Here is some specific info on why North Dakota offers geographic arbitrage:
North Dakota = ~220 days of free cooling is modeled to save $.04/kWh vs. TX/VA
Power costs: (believed to be as low as) $0.03/kWh vs $0.10/kWh in Virginia
The uncomfortable truth: Applied Digital is basically a leveraged bet that AI compute demand will explode. They're building infrastructure 12-18 months before revenue arrives, funded by $688M in debt at a 108% debt-to-equity ratio.
If they're right, they own the picks and shovels for the AI gold rush.
With that, I'll see you tomorrow!
Nick
TL;DR
Applied Digital transformed from a crypto mining company to a $4B AI infrastructure powerhouse by building specialized data centers in North Dakota
Secured a $7 billion, 15-year contract with CoreWeave for their Ellendale, ND facility—validating their contrarian "AI factories in cornfields" strategy
North Dakota advantages: 200+ days of free cooling, $0.03/kWh power costs, and $2.7B in savings versus traditional locations
Breaking ground on $3B Polaris Forge 2 campus in ND (September 2025), positioning the state as America's AI infrastructure hub
Key lesson: Geographic arbitrage still exists in tech—ND's climate and power create moats that Silicon Valley money can't replicate
The 30,000-Foot View
Applied Digital operates as the picks-and-shovels play for the AI gold rush, designing and leasing specialized data centers for artificial intelligence workloads. The company generates revenue through:
Data center hosting: $102.4M (71% of revenue) - mainly crypto mining transitioning to AI
HPC hosting: Ramping up with new AI-focused facilities
Cloud services: $17.8M (12% of revenue) - being divested to focus on infrastructure
Key stats:
Market cap: $4.0 billion
TTM revenue: $144.2 million
Gross margin: 29.6% (up from 10.4% YoY)
Net loss: ($161.0 million)
Employees: 150-205
Industry: Technology Infrastructure/Data Centers
Company History
2001-2021: Existed as dormant shell company cycling through various identities
March 2021: Wes Cummins takes control, pivots to Ethereum mining
April 2022: IPO at $5/share, raises $36M just as crypto winter begins
November 2022: Rebrands from Applied Blockchain to Applied Digital
January 2024: Flagship Ellendale facility goes offline for 5 months due to transformer failures
September 2024: NVIDIA invests $63.66M (in the open market), grants Elite Partner status
January 2025: Macquarie commits up to $5B in expansion financing
June 2025: Signs $7B CoreWeave contract, stock soars from $3 to $15+
August 2025: Announces 280MW facility in Harwood, ND (just north of Fargo)
Show Me the Money
Stand-out financial features:
CapEx exploded to $681.6M (5x YoY) betting on AI infrastructure
Gross margins nearly tripled as company optimized operations
Debt ballooned to $688M funding expansion before revenue
Projects $1B annual operating income within 3-5 years (7x current revenue)
Financial Data
Metric | FY2023 | FY2024 | FY2025 | TTM |
---|---|---|---|---|
Revenue | $55.4M | $165.6M | $144.2M | $144.2M |
Gross Profit | $11.0M | $17.2M | $42.7M | $42.7M |
Gross Margin | 19.9% | 10.4% | 29.6% | 29.6% |
Ops Profit | ($44.1M) | ($99.0M) | ($16.8M) | ($16.8M) |
Ops Margin | -79.6% | -59.8% | -11.6% | -11.6% |
CapEx | $131.3M | $141.8M | $681.6M | $681.6M |
Net Debt | $35.8M | $96.9M | $567.3M | $567.3M |
The N.O.O.B. Nine — Competitive Powers
The Nerd Out on Business Nine is made up of Hamliton Helmer's famous "7 Powers" of competitive advantage (Scale Economies, Network Economies, Counter-Positioning, Switching Costs, Branding, Cornered Resource, and Process Power) combined with two of my own (Data Flywheel and Distribution Advantage).
Power | Score | Rationale |
---|---|---|
Branding | 2/5 | B2B infrastructure sells on specs, not perception |
Data Flywheel | 2/5 | Collects operational data but hasn't monetized it yet |
Process Power | 4/5 | Proprietary cooling achieves 1.18 PUE vs 1.58 average |
Scale Economies | 2/5 | Limited at $144M revenue vs Equinix's $8B |
Switching Costs | 4/5 | 15-year contracts with custom infrastructure configs |
Cornered Resource | 4/5 | Secured access to ND stranded wind power + land |
Network Economies | 1/5 | Data center customers don't benefit from other tenants |
Counter-Positioning | 5/5 | Built for AI density that legacy operators can't match |
Distribution Advantage | 2/5 | Small sales team vs global incumbent networks |
Average Score: 2.9/5 - ounter-positioning and specialized processes create a defensible niche, but lacks the scale advantages of established players.
Memorable Marketing
Applied Digital's B2B playbook focuses on technical buyers who care about specs over sizzle:
"$2.7 Billion Savings" White Paper (2025)
Core idea: Quantified North Dakota cost advantages with hard numbers
Channels: Direct sales tool, PR amplification
Why it worked: Led with ROI, not features
Result: Generated CoreWeave interest, validated counter-positioning
"AI Factory" Positioning
Reframed data centers as manufacturing facilities for intelligence
Channels: CEO podcast tour, industry panels
Why it worked: Simple metaphor for complex infrastructure
Tactical Takeaways:
Lead with concrete ROI calculations in B2B marketing
Transform geographic disadvantages into strategic advantages
Use founder-led content for technical credibility
Skip traditional B2B tactics (trade shows) for white papers that sell
AI Uses & Opportunities
Current AI applications:
Operating "AI Factories" supporting up to 50,000 NVIDIA H100 GPUs
Liquid cooling achieving 15-30x traditional data center density
Cloud services division offering GPU-as-a-Service (being divested)
Future AI potential:
Multi-gigawatt pipeline including $3B Polaris Forge 2 campus
NVIDIA Elite Partner status ensures GPU access during shortages
Potential REIT conversion would unlock institutional capital
Co-developing next-gen cooling with ABB for AI-specific workloads
Bumps in the Road
Transformer failure: Ellendale facility offline for 5 months in 2024
Securities lawsuits: Multiple class actions alleging profitability overstatements
Debt burden: $688M debt with 108.6% debt-to-equity ratio
Customer concentration: CoreWeave represents majority of future revenue
Competition: Hyperscalers building own infrastructure, Equinix's $15B expansion
Your Swipe File
Geographic arbitrage can be hard to beat: North Dakota's natural advantages (climate, power) create a hard-to-replicate economic cost moat
Counter-position against what incumbents can't do: Legacy data centers can't handle AI heat loads as retrofitting costs more than their facilities are worth
One whale beats 100 minnows in infrastructure: Their $7B CoreWeave deal validates focusing on massive contracts over diversification
Transform bugs into features: Marketed ND location as strategic advantage, not limitation
Don't "blindly build": Don't build hoping customers will come. secure anchor tenants before breaking ground on material infrastructure investments.