Server Settings

The Server Settings page allows GPU hosts to manage their rental configurations, monitor performance, and troubleshoot issues. Whether you're optimizing your GPU pricing, tracking rental activity, or diagnosing errors, this section provides full control over your hosted hardware.

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Server Overview & Status

When you select a GPU from your Hosting Dashboard, you will be taken to its Server Settings page. Here, you can view:

• Server Status – Indicates whether the GPU is active, rented, or experiencing errors.

• Rental Status – Shows if the GPU is currently leased, including the remaining rental duration.

• Backend Version – Displays the current version of the Nebula Hosting Client running on your server.

• Network & Hardware Metrics – Displays uptime, internet speed, temperature, and GPU utilization.

Server Status Codes:

Status	Meaning
Operating Normally	GPU is active and available for rentals.
Starting Up	GPU is initializing; the system is checking its status.
CUDA Error	GPU driver issue detected (e.g., driver crash, hardware disconnection).
Docker Error	Hosting software failed to initialize (e.g., slow SSD, network issue).

How to Fix Errors:

• CUDA Error: Ensure your GPU is properly installed, check power connections, and reinstall drivers if needed (nvidia-driver-update or rocm-smi --update for AMD).

• Docker Error: Restart Docker (systemctl restart docker) and verify that your storage and internet speed are sufficient.

• General Fix: A full system reboot often resolves most issues.

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Rental Settings (Price & Duration)

Below the server status, hosts can configure rental options to maximize their earnings.

Rental Settings:

• Enable/Disable Rental – Toggle your GPU’s availability for rental.

• Maximum Rental Duration – Set how long a renter can lease your GPU (e.g., 1 hour to 7 days).

• Pricing Model – Set rental fees manually or enable dynamic pricing.

Pricing Options:

• Fixed Pricing – Manually set a rental price per hour in $NAI.

• Dynamic Pricing (Recommended) – Automatically adjusts pricing based on GPU demand and availability in the marketplace.

• Auto-Convert to USD – If enabled, the system recalculates rental fees in $NAI based on the current USD exchange rate.

Adjust pricing based on GPU model, power consumption, and workload demand.

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Troubleshooting

Nebula AI detects and reports hardware and software issues that may impact rental availability.

Common Errors & Fixes

Error Type	Cause	Fix
CUDA Error	GPU disconnected or driver crash	Restart driver (nvidia-smi -r), check power supply
Docker Error	Hosting software failed to load	Restart Docker (systemctl restart docker)
Network Failure	Poor internet connection	Check firewall settings, restart network
Storage Issue	SSD too slow or failing	Upgrade to NVMe SSD, check disk health (smartctl -a /dev/sda)

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Performance Monitoring

For advanced users, Nebula AI provides real-time performance tracking and overclocking controls.

Performance Monitoring

• GPU Load (%)

• VRAM Utilization

• Temperature & Cooling

• Power Draw (Watts)

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Idle GPU Utilization (Coming Soon)

When your GPU is not rented, Nebula AI will offer an Idle Workload System, allowing hosts to:

• Participate in distributed computing tasks (e.g., AI inference, rendering).

• Use GPUs for on-chain processing & verification tasks.

• Earn passive income while waiting for rental activity.

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6) Network & Internet Speed Test

For optimal GPU performance, a high-speed, stable internet connection is required. Hosts should manually test their network every two weeks to:

• Measure upload/download speeds.

• Verify latency and connection stability.

• Improve rental visibility for GPUs with higher bandwidth.

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7) Automated Price Optimization

Nebula AI will introduce an Auto-Pricing System that:

• Dynamically adjusts GPU rental prices based on supply and demand.

• Uses machine learning algorithms to optimize rental efficiency.

• Prioritizes high-uptime GPUs for premium pricing.