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Pricing Guide

Set competitive prices and understand rental costs

Setting Your Price

As a provider, you set the hourly rate for your GPU. Pricing is flexible and market-driven, so you can adjust based on demand and competition.

Recommended Pricing

Here are suggested hourly rates based on GPU type:

GPU TypeRecommended RateNotes
RTX 3090 / RTX 40900.05 - 0.10 USDT/hourHigh-end consumer GPUs
A100 (40GB)0.15 - 0.30 USDT/hourProfessional data center GPU
RTX 3080 / RTX 40700.03 - 0.06 USDT/hourMid-range GPUs
RTX 3060 / RTX 40600.01 - 0.03 USDT/hourEntry-level GPUs

Pricing Factors

Consider these factors when setting your price:

GPU Performance

Newer, faster GPUs command higher rates

Memory

More VRAM allows for larger models and workloads

Uptime

Machines with high uptime can charge premium

Location

Geographic location may affect demand

Market Rates

Check competitor pricing

Power Costs

Consider your electricity costs

Dynamic Pricing Strategy

You can adjust your pricing based on:

Demand

Increase rates during high demand periods

Competition

Lower rates if you're not getting rentals

Performance

Higher rates for proven reliable machines

Time of Day

Adjust for peak usage hours

For Users: Understanding Costs

When renting GPUs, consider:

Hourly rate is fixed per machine
Total cost = hourly rate × hours used
Billing is automatic and continuous
You can pause/stop anytime to control costs

Updating Prices

You can update your machine's hourly rate:

  1. Go to your machine details page
  2. Update the rate per hour
  3. Save changes

Note: Price updates are only allowed when there are no active rentals.