Performance Monitoring

Track GPU performance, earnings optimization, and system health to maximize revenue and ensure reliable service delivery.

Dashboard Analytics Overview

Access performance metrics through Dashboard → Containers or Dashboard → My GPUs tabs.

Key Performance Indicators

Utilization Rate

Target: > 85% during available hours
Calculation: (Active rental hours / Total available hours) × 100
Low utilization (<70%) indicates pricing or availability issues

Revenue Per Hour

Formula: Total earnings ÷ Total available hours
Compare against market rates for similar hardware
Track weekly trends to identify optimization opportunities

Session Duration

Average rental length across all bookings
Longer sessions typically indicate satisfied renters
Sub-30 minute sessions may signal performance issues

Real-Time GPU Monitoring

Temperature Management

Critical thresholds for common GPUs:

NVIDIA RTX 40 Series:

Normal operation: 65-75°C
Throttling begins: 83°C
Emergency shutdown: 90°C

NVIDIA RTX 30 Series:

Normal operation: 70-78°C
Throttling begins: 83°C
Emergency shutdown: 93°C

AMD RX 7000/6000:

Normal operation: 75-85°C
Throttling begins: 90°C
Emergency shutdown: 95°C

Memory Usage Optimization

VRAM Allocation:

Monitor through Dashboard → Containers → GPU Monitor
Efficient allocation: 85-95% during active rentals
Memory leaks: Usage remains high between rentals
Clean state: Less than 500MB usage when idle

System RAM Impact:

AI workloads: 16-32GB recommended
Mining operations: 8-16GB sufficient
Gaming/streaming: 32GB+ optimal

Power Consumption Analysis

Track power efficiency to optimize electrical costs:

Power Limit Tuning:

Default: 100% power limit (maximum performance)
Efficiency mode: 80-90% limit (reduced heat/noise)
Calculate: Revenue per watt = Earnings ÷ Power consumed

Cost-Benefit Analysis:

Revenue optimization example (RTX 4090):
`100%` power: `$0.60/hour`, `450W = $1.33/kWh`
`85%` power: `$0.54/hour`, `320W = $1.69/kWh`

Earnings Optimization

Dynamic Pricing Strategy

Market Position Analysis:

Check competitor rates weekly via marketplace filters
Price 5-10% below similar hardware initially
Increase by $0.05/hour after achieving >90% utilization

Demand Pattern Recognition:

Peak hours: Evenings (6-11 PM local time)
Weekend premium: 15-25% rate increase typical
Holiday demand: Gaming workloads increase 40-60%

Performance-Based Pricing:

High-end cooling: +10-15% premium justified
Consistent 99%+ uptime: +20% premium
Below-average performance: -15-25% discount required

Availability Scheduling

Optimal Availability Windows:

24/7 availability: 35-50% higher monthly earnings
Peak-only (6 PM - 12 AM): Higher hourly rates, lower volume
Business hours (9 AM - 5 PM): Enterprise customers, steady demand

Minimum Session Management:

1-hour minimum: Maximum flexibility, higher turnover costs
4-hour minimum: Reduced overhead, better for intensive workloads
8+ hour minimum: Enterprise focus, stable income

System Health Monitoring

Hardware Degradation Tracking

GPU Health Metrics:

Core clock stability: <2% variance during load
Memory error rate: <0.1 errors per hour acceptable
Fan curve efficiency: Monitor RPM vs temperature correlation

Early Warning Signs:

Increasing temperatures with same workloads
Declining benchmark scores over time
Higher error rates in mining or compute tasks
Unusual system crashes or instability

Network Performance Impact

Connection Quality Requirements:

Upload speed: Minimum 50 Mbps for responsive access
Latency: <50ms to major cloud providers optimal
Jitter: <10ms variation for smooth experience

Bandwidth Usage Patterns:

AI training: 10-100 MB/s sustained transfers
Mining: <1 MB/s steady-state
Gaming/streaming: 50-200 MB/s peak usage

Troubleshooting Common Issues

Low Utilization Diagnosis

Pricing Analysis:

Compare rates against similar hardware in marketplace
Check booking rate: Views → Inquiries → Completed rentals
Review renter feedback for performance complaints

Technical Issues:

Container startup time >60 seconds: Investigate system resources
Connection failures: Verify port forwarding and firewall rules
Performance complaints: Run GPU benchmarks during idle periods

Performance Degradation

Systematic Diagnosis:

Baseline Testing: Run GPU stress tests monthly
Thermal Analysis: Check cooling system efficiency
Driver Updates: Maintain latest stable GPU drivers
System Resource: Monitor CPU, RAM, and storage impact

Resolution Priority:

Critical (revenue impact >50%): Address within 4 hours
High (revenue impact 20-50%): Resolve within 24 hours
Medium (revenue impact <20%): Schedule maintenance window

Advanced Analytics

Revenue Forecasting

Historical Analysis:

Track monthly earnings trends
Identify seasonal patterns
Calculate growth rate month-over-month

Market Expansion Opportunities:

Underserved time zones: International renter access
Specialized workloads: AI inference, rendering, scientific computing
Bulk reservation: Enterprise customers seeking dedicated access

Competitive Intelligence

Market Position Tracking:

Weekly rate surveys of comparable hardware
Utilization rate benchmarking against network averages
Feature comparison: Cooling, overclocks, additional software

Performance Optimization:

A/B test pricing strategies over 2-week periods
Monitor booking patterns after rate adjustments
Track renter retention and repeat bookings

Reporting and Analytics

Daily Operations Dashboard

Access through Dashboard → Analytics (if available) or compile manually:

Key Metrics Summary:

Total active hours today
Revenue generated (gross/net)
Average GPU temperature and utilization
Number of unique renters served

Weekly Performance Review

Revenue Analysis:

Week-over-week growth percentage
Utilization rate trends
Average session duration changes
Pricing effectiveness evaluation

Technical Performance:

System uptime percentage
Average response times
Hardware health score trends
Support ticket volume and resolution

Monthly Optimization Reports

Financial Summary:

Total earnings vs. electricity costs
Revenue per available hour
Market share within your hardware category
ROI calculation including depreciation

Strategic Planning:

Hardware upgrade recommendations
Market expansion opportunities
Competitive positioning analysis
Growth trajectory projections