Available in synchronized catalog
RTX 3080
Asia-Pacific / Community
- GPUs per machine
- 1
- VRAM per GPU
- 10 GB
- vCPU
- 10
- System RAM
- 16 GB
- Storage
- 354 GB
USD 0.13 / machine-hour
NVIDIA RTX 3080 GPU rental and cloud pricing
Evaluate NVIDIA RTX 3080 for GPU development and rendering. Compare the exact configurations below using synchronized customer prices, not a fixed promotional rate.
Latest successful catalog synchronization: . This is a synchronized snapshot, not a reservation or a guarantee of capacity at launch. Prices and availability may change.
Catalog VRAM per GPU: 10 GB.
From USD 0.13 / machine-hour (1 GPU)
Available NVIDIA RTX 3080 configurations (8)
Available in synchronized catalog
RTX 3080
EU East / Community
- GPUs per machine
- 1
- VRAM per GPU
- 10 GB
- vCPU
- 8
- System RAM
- 15 GB
- Storage
- 281 GB
USD 0.19 / machine-hour
Available in synchronized catalog
RTX 3080
EU West / Community
- GPUs per machine
- 1
- VRAM per GPU
- 10 GB
- vCPU
- 32
- System RAM
- 28 GB
- Storage
- 357 GB
USD 0.17 / machine-hour
Available in synchronized catalog
RTX 3080
US East / Community
- GPUs per machine
- 1
- VRAM per GPU
- 10 GB
- vCPU
- 10
- System RAM
- 16 GB
- Storage
- 362 GB
USD 0.24 / machine-hour
Available in synchronized catalog
RTX 3080
US West / Community
- GPUs per machine
- 1
- VRAM per GPU
- 10 GB
- vCPU
- 10
- System RAM
- 16 GB
- Storage
- 167 GB
USD 0.13 / machine-hour
Available in synchronized catalog
RTX 3080
Asia-Pacific / Community
- GPUs per machine
- 2
- VRAM per GPU
- 10 GB
- vCPU
- 20
- System RAM
- 31 GB
- Storage
- 709 GB
USD 0.25 / machine-hour
Available in synchronized catalog
RTX 3080
EU West / Community
- GPUs per machine
- 2
- VRAM per GPU
- 10 GB
- vCPU
- 2
- System RAM
- 21 GB
- Storage
- 266 GB
USD 0.37 / machine-hour
Available in synchronized catalog
RTX 3080
US East / Community
- GPUs per machine
- 2
- VRAM per GPU
- 10 GB
- vCPU
- 20
- System RAM
- 31 GB
- Storage
- 723 GB
USD 0.46 / machine-hour
When to evaluate NVIDIA RTX 3080
Use the synchronized VRAM value rather than assuming memory from the model name. Leave headroom for runtime allocations and rendering assets.
For GPU development and rendering, test a representative workload before committing to a larger deployment. Check model weights, runtime allocations, context or scene size, and any application licensing requirements.
Read the configuration and hourly rate together
The displayed rate covers one machine with the listed GPU count. VRAM is per GPU, not system RAM or automatically pooled memory. Prices are customer-facing catalog rates; account-specific terms and configuration changes must be reviewed in the Marketplace before launch.
The public feed chooses the lowest USD customer rate within each model, GPU count, VRAM, region, and capacity class. CPU, RAM, and storage describe that selected listing, not every machine in the region. The number of rows is not a count of available machines.
Read the GPU cloud guide and SSH guide to prepare the software environment and access settings. Capacity shown here is not reserved by viewing the page.