Creating GPU Listings

Configure your GPU listings to attract renters and maximize earnings. This guide covers pricing, descriptions, and availability settings.

Step 1: Access listing creation

In your GPUFlow dashboard:

Go to Listings → Create New
Select your claimed hardware device
Choose Create Public Listing

Step 2: Basic listing information

Listing title: Write a clear, descriptive title that highlights your GPU’s strengths:

Good: “RTX 4090 24GB - High Performance Gaming & AI”
Poor: “My GPU for rent”

GPU specifications: These are detected automatically from your hardware:

GPU model and architecture
VRAM amount and type
CUDA cores (NVIDIA) or Stream processors (AMD)
Base and boost clock speeds

Location: Your general location helps renters estimate latency. Only city/region is shown, never your exact address.

Step 3: Pricing strategy

Set competitive hourly rates based on your hardware and market conditions.

Pricing guidelines by GPU model

NVIDIA RTX 40 Series:

RTX 4090: $0.40 - $0.70/hour
RTX 4080: $0.30 - $0.55/hour
RTX 4070: $0.25 - $0.45/hour
RTX 4060: $0.15 - $0.30/hour

NVIDIA RTX 30 Series:

RTX 3090/3090 Ti: $0.30 - $0.50/hour
RTX 3080/3080 Ti: $0.25 - $0.40/hour
RTX 3070/3070 Ti: $0.20 - $0.35/hour
RTX 3060: $0.12 - $0.25/hour

AMD RX 7000/6000 Series:

RX 7900 XTX: $0.25 - $0.40/hour
RX 7800/6800 XT: $0.20 - $0.35/hour
RX 6600/7600: $0.10 - $0.20/hour

Pricing tips

Start competitive: Price 10-15% below market rate initially to build ratings Premium features: Charge more for high VRAM, recent drivers, or reliable uptime Bulk discounts: Offer lower hourly rates for longer rental periods Peak pricing: Consider higher rates during high-demand periods

Step 4: Availability schedule

Set when your GPU is available for rent:

24/7 availability (recommended):

Maximizes earning potential
Higher search ranking
Attracts enterprise customers

Custom schedule:

Set specific hours when available
Block time for your own usage
Useful for gaming rigs or workstations

Busy periods: Configure times when your GPU should not accept new rentals but can finish existing ones.

Step 5: Workload types

Specify what types of work your GPU supports:

General compute:

Machine learning training
3D rendering and video processing
Scientific computing
Cryptocurrency mining

Gaming:

Cloud gaming sessions
Game development and testing
Streaming and content creation

Specialized:

AI inference serving
Blockchain validation
Custom CUDA applications

Step 6: Hardware description

Write a detailed description that helps renters understand your offering:

Include information about:

GPU model and memory amount
System specs (CPU, RAM)
Connection quality and location
Any special software or drivers installed
Your experience as a provider

Example description:

RTX 4090 24GB system with AMD Ryzen 7900X, 64GB DDR5 RAM.
Located in Dallas, TX with 1Gbps fiber internet. Maintained
99.2% uptime over 6 months. Ideal for large model training,
4K rendering, and high-end gaming. All latest drivers and
CUDA toolkit installed.

Step 7: Advanced settings

Minimum rental duration: Set the shortest rental time you accept:

1 hour: Maximum flexibility
4 hours: Reduces setup overhead
8+ hours: For long-running workloads

Maximum concurrent users: Usually 1 for gaming GPUs, can be higher for compute workloads with GPU sharing.

Instant booking: Allow renters to start using your GPU immediately without manual approval. Recommended for higher earnings.

Verification requirements: Choose whether to require ID verification from renters for security.

Step 8: Review and publish

Before publishing your listing:

Preview how it appears to renters
Check pricing against similar hardware
Test availability schedule matches your needs
Verify hardware specifications are correct

Click Publish Listing to make it live on the marketplace.

Managing active listings

After publishing, you can:

Update pricing: Adjust rates based on demand and competition Modify availability: Change your schedule anytime Pause listing: Temporarily remove from marketplace View analytics: Track views, bookings, and earnings

Optimizing for bookings

To increase rental frequency:

Maintain high uptime: 95%+ availability when scheduled Respond quickly: Reply to renter messages within 2 hours Keep competitive prices: Monitor market rates weekly Update descriptions: Add details about successful projects Professional photos: High-quality images of your setup increase trust

Listing performance metrics

Track these key metrics in your dashboard:

Booking rate: Percentage of inquiries that become rentals
Utilization: Hours rented vs. hours available
Average session length: How long renters use your GPU
Rating: Average score from renter reviews
Revenue per hour: Total earnings divided by available hours

Next steps

Your listing is now live. Learn how to: