Available in synchronized catalog
RTX 6000 ADA
US Central / Secure
- GPUs per machine
- 1
- VRAM per GPU
- 48 GB
- vCPU
- 12
- System RAM
- 72 GB
- Storage
- 350 GB
USD 0.72 / machine-hour
NVIDIA RTX 6000 Ada GPU rental and cloud pricing
Evaluate NVIDIA RTX 6000 Ada for memory-intensive rendering and AI development. 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: 48 GB.
From USD 0.72 / machine-hour (1 GPU)
Available NVIDIA RTX 6000 Ada configurations (3)
Available in synchronized catalog
RTX 6000 ADA
US Central / Secure
- GPUs per machine
- 2
- VRAM per GPU
- 48 GB
- vCPU
- 26
- System RAM
- 144 GB
- Storage
- 700 GB
USD 1.43 / machine-hour
Available in synchronized catalog
RTX 6000 ADA
US Central / Secure
- GPUs per machine
- 4
- VRAM per GPU
- 48 GB
- vCPU
- 52
- System RAM
- 288 GB
- Storage
- 1400 GB
USD 2.86 / machine-hour
When to evaluate NVIDIA RTX 6000 Ada
Keep this Ada model distinct from RTX A6000 and RTX PRO 6000. Compare actual VRAM and runtime support instead of relying on the shared 6000 name.
For memory-intensive rendering and AI development, 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.