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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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