Renting a GPU
The Nebula AI platform provides a decentralized, peer-to-peer GPU rental system, allowing users to lease high-performance compute power for AI training, deep learning, rendering, and more. Renting a GPU is a streamlined process, ensuring security, flexibility, and transparent pricing. This section will guide you through the complete process, from connecting your wallet to deploying workloads on a rented GPU.
Connecting Your Wallet & Funding Your Account
To access the Nebula AI marketplace, you must connect a Web3-compatible wallet.
Click "Connect Wallet" on the platform.
Select your preferred wallet and approve the connection.
Ensure your wallet is funded with $NAI or ETH.
Once connected, your wallet serves as your Nebula AI account.
Browsing the GPU Marketplace
After connecting your wallet, you can browse the available GPUs using the marketplace interface. Each listing provides detailed specifications, ensuring you select the best GPU for your workload.
The marketplace allows you to filter GPUs by:
Model & Performance
VRAM Size
Compute Power
Availability & Rental Type (Spot vs. On-Demand)
Pricing & Rental Duration
Location
Clicking on a listing provides more detailed specifications, including performance benchmarks, uptime history, and past rental reviews.
Selecting Rental Type: Spot vs. On-Demand
Nebula AI offers two types of GPU rentals:
On-Demand Rentals (Guaranteed Access)
Provides exclusive access to a GPU for the entire rental period.
Ideal for long-running AI training or continuous workloads that cannot tolerate interruptions.
Higher pricing due to guaranteed uptime.
Spot Rentals (Dynamic Pricing, Interruptible)
Available at a lower cost, but another renter may outbid you and take over the rental.
Suitable for batch processing tasks and non-urgent workloads.
Great for cost savings, but not recommended for long-term, mission-critical workloads.
You can set maximum bid limits for Spot Rentals, ensuring you only compete within your budget.
Confirming & Deploying Your Rental
Once you’ve selected a GPU and rental type, you will proceed to payment.
Click "Rent Now" and approve the smart contract transaction from your Web3 wallet.
Once the transaction is confirmed, your rental session will start.
You will receive connection details based on the selected access method:
SSH Credentials (For direct Linux terminal access)
Jupyter Notebook (For ML/AI workflows)
API Endpoints (For automated workload deployment)
Your rental session will be immediately available, and you can start executing your workloads on the rented GPU.
Managing Your Rental Session
Once your rental is active, you can monitor its performance from the Rental Dashboard. The dashboard provides:
Live GPU usage metrics (VRAM, Compute Load, Power Consumption).
Session Timer (Time remaining for rental).
Extend Rental Option (If additional time is needed).
End Rental Button (To manually stop usage before the session expires).
Rentals automatically expire when the time limit is reached, and all session data is wiped. Make sure to back up your work before the rental ends.
Ending Rental & Auto-Expiration
When your rental period expires, the GPU is immediately released back to the marketplace. If you need more time, you must extend the rental before expiration.
💡 Important Notes:
No refunds are provided for unused rental time.
All storage is cleared upon expiration, so ensure you save your work externally.
If you end your session early, the remaining time cannot be transferred.
For users requiring persistent storage across rental sessions, Nebula AI will introduce cloud-linked storage options in future updates.
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