Expected IRR Returns
Understanding projected internal rates of return for GPU investments.
What are the expected IRRs?
Returns vary by GPU model, operator, and market conditions. Historical deals have delivered double-digit yields, though future performance may differ. Compute Labs has an internal mandate that the offer must project or estimate a 20% IRR before it is offered to investors.
IRR Framework
Minimum Standards
- Internal Mandate: All deals must project at least 20% IRR to be offered
- Conservative Modeling: We use conservative assumptions for utilization and pricing
- Stress Testing: Models are tested against various market scenarios
Factors Affecting IRR
Hardware Factors
- GPU Model: Latest generation hardware typically commands higher rates
- Performance Efficiency: More efficient chips generate better margins
- Hardware Costs: Lower acquisition costs improve returns
Market Factors
- Demand Cycles: AI training and inference demand fluctuations
- Competitive Pricing: Market rates for GPU compute services
- Energy Costs: Impact on operating expenses and net margins
Operational Factors
- Utilization Rates: Percentage of time GPUs are actively generating revenue
- Operator Efficiency: Quality of data center operations and sales
- Geographic Location: Regional pricing and cost variations
Historical Performance
Track Record
- Double-digit yields achieved across multiple vault deployments
- Consistent performance despite market volatility
- Strong utilization rates from enterprise AI demand
Performance Drivers
- Growing demand for AI compute resources
- Limited GPU supply creating pricing power
- Professional operator relationships ensuring consistent utilization
IRR Components
Revenue Generation
- Base Compute: Standard AI training and inference workloads
- Premium Services: Specialized high-performance computing
- Long-term Contracts: Stable revenue from enterprise partnerships
Cost Structure
- Operating Expenses: Power, cooling, maintenance, facility costs
- Management Fee: 10% of net proceeds to Compute Labs
- Depreciation: Tax advantages from hardware depreciation schedules
Value Creation
- Cash Flow: Monthly USDC distributions from operations
- Asset Appreciation: Potential upside from GPU value retention
- Tax Benefits: Depreciation shields for applicable investors
Risk Considerations
While we target 20%+ IRRs, actual returns depend on:
- Market demand for AI compute services
- Hardware performance and reliability
- Operator execution and utilization rates
- Broader economic and technology cycles
Past performance does not guarantee future results. All investments carry risk of loss.
Due Diligence Process
Before offering any deal, we conduct:
- Comprehensive financial modeling
- Operator due diligence and verification
- Market analysis and competitive positioning
- Stress testing under various scenarios
This rigorous approach helps ensure that projected returns are achievable while maintaining appropriate risk management standards.
How is this guide?
