Nebula AI
  • overview
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      • Phase 1: Nebular Birth
      • Phase 2: Stellar Nursery
      • Phase 3: Supernova Illumination
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  • Getting Started
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    • Billing
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  • GPU Marketplace
    • Overview
      • Detailed Hosting Guide
        • Nebula Hosting Client
        • Server Settings
        • Reinstalling Drivers
        • Pricing Your Servers
      • Detailed Rental Guide
        • Renting a GPU
        • Choosing your Rental
        • Rental Management
        • GPU Security
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On this page
  • Understanding GPU Rental Pricing
  • Setting Your Rental Price
  • Spot vs. On-Demand Rentals
  • Auto-Pricing System (Soon)
  • Fee Structure & Earnings Calculation
  1. GPU Marketplace
  2. Overview
  3. Detailed Hosting Guide

Pricing Your Servers

Setting the right price for your GPU rental on Nebula AI is crucial to maximizing earnings while staying competitive in the decentralized marketplace. Unlike traditional cloud providers, Nebula AI allows you to set your own rates or use dynamic pricing to adjust based on market demand.


Understanding GPU Rental Pricing

Nebula AI’s pricing model is based on:

Compute Demand – AI workloads, rendering, and deep learning tasks require different GPU specs. Market Competition – Other GPU hosts influence pricing based on availability. Hardware Performance – Higher-end GPUs (A100, 4090, 3090) command premium rates.

Unlike mining-based pricing models, Nebula AI focuses on AI, cloud computing, and general high-performance tasks—ensuring real demand drives pricing.


Setting Your Rental Price

Manual Pricing (Fixed Rate)

You can set a fixed price per hour for your GPU rental.

  • This price is entered in $NAI (adjustable in USD equivalent).

  • The system will convert the amount to ETH (if enabled) for renters using alternative payment methods.

  • You can update prices at any time from the Hosting Dashboard.

Dynamic Pricing (Recommended)

  • Enable dynamic pricing to allow the system to adjust rates based on GPU demand.

  • Uses real-time market conditions to optimize pricing.

  • Ensures your GPU remains competitively priced while maximizing profitability.

Example: Setting a Competitive Price

GPU Model

Recommended Price (Hourly, $NAI)

RTX 4090

$0.90 – $1.20

RTX 3090

$0.60 – $0.85

RTX 3080

$0.50 – $0.75

RTX 3070

$0.40 – $0.60

A100

$2.00 – $3.00

Prices may fluctuate based on market conditions


Spot vs. On-Demand Rentals

Spot Rentals (Lower Cost, Flexible)

  • Renters pay a lower rate but can be outbid by another renter.

  • Ideal for users who don’t require guaranteed uptime but want cheaper compute power.

On-Demand Rentals (Higher Cost, Guaranteed)

  • Exclusive access to your GPU for the entire rental duration.

  • Higher pricing but guarantees uninterrupted compute time for renters.

Set Spot Pricing slightly lower than On-Demand Pricing to attract different types of renters.


Auto-Pricing System (Soon)

Nebula AI will introduce an automated pricing system that:

  • Adjusts rental rates based on supply & demand.

  • Prioritizes high-uptime GPUs for premium pricing.

  • Helps hosts maximize revenue without manual adjustments.


Fee Structure & Earnings Calculation

  • Rental Fees: Nebula AI takes a small commission per rental (Exact % TBA).

  • Final Earnings: Your earnings are automatically credited in $NAI and can be withdrawn or reinvested in staking.

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Last updated 3 months ago