NVIDIA RTX PRO 6000 GPU rental and cloud pricing

Evaluate NVIDIA RTX PRO 6000 for large rendering scenes and memory-intensive AI workloads. 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: 96 GB.

From USD 1.86 / machine-hour (1 GPU)

Available NVIDIA RTX PRO 6000 configurations (8)

Available in synchronized catalog

RTX PRO 6000

US Central / Secure

GPUs per machine
1
VRAM per GPU
96 GB
vCPU
16
System RAM
144 GB
Storage
725 GB

USD 2.19 / machine-hour

Available in synchronized catalog

RTX PRO 6000

US East / Secure

GPUs per machine
1
VRAM per GPU
96 GB
vCPU
16
System RAM
64 GB
Storage
400 GB

USD 1.86 / machine-hour

Available in synchronized catalog

RTX PRO 6000

Us East 4 / Secure

GPUs per machine
1
VRAM per GPU
96 GB
vCPU
16
System RAM
144 GB
Storage
350 GB

USD 2.19 / machine-hour

Available in synchronized catalog

RTX PRO 6000

US Central / Secure

GPUs per machine
2
VRAM per GPU
96 GB
vCPU
30
System RAM
288 GB
Storage
1450 GB

USD 4.38 / machine-hour

Available in synchronized catalog

RTX PRO 6000

US East / Secure

GPUs per machine
2
VRAM per GPU
96 GB
vCPU
32
System RAM
128 GB
Storage
800 GB

USD 3.72 / machine-hour

Available in synchronized catalog

RTX PRO 6000

Us East 4 / Secure

GPUs per machine
2
VRAM per GPU
96 GB
vCPU
30
System RAM
288 GB
Storage
700 GB

USD 4.38 / machine-hour

Available in synchronized catalog

RTX PRO 6000

US East / Secure

GPUs per machine
4
VRAM per GPU
96 GB
vCPU
64
System RAM
256 GB
Storage
1600 GB

USD 7.44 / machine-hour

Available in synchronized catalog

RTX PRO 6000

US East / Secure

GPUs per machine
8
VRAM per GPU
96 GB
vCPU
128
System RAM
512 GB
Storage
3200 GB

USD 14.88 / machine-hour

When to evaluate NVIDIA RTX PRO 6000

Distinguish this model from RTX A6000 and RTX 6000 Ada. Confirm memory, software compatibility, and the complete machine configuration before launch.

For large rendering scenes and memory-intensive AI workloads, 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.