Compute Labs SupportDeals, Performance & Liquidity
What are the expected IRRs?
Understanding projected internal rates of return for GPU investments.
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?
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