NVIDIA RTX PRO 6000

Run AI inference, fine-tuning and graphics workloads with 96 GB of GPU memory on the RTX PRO 6000 Blackwell Server Edition.

Launch RTX PRO 6000Compare GPU pricing

From $1.89/GPU/hour · USD on-demand rate · Storage extra

Workloads

What to run on RTX PRO 6000.

Choose for your workload’s memory needs, software support and measured runtime.

Memory-intensive inference

Use 96 GB to accommodate model weights and serving cache. Validate throughput with your model and concurrency settings.

Fine-tuning and experimentation

Work with CUDA-based frameworks and size training runs for their full memory requirements.

Graphics and rendering

Use a GPU built for both AI and professional graphics workloads. Check application and licensing requirements before launch.

Choose your setup

Start with the environment you need.

Use a preconfigured container or manage your operating system in a GPU VM. The dashboard shows current GPU and region availability.

GPU Templates

Start with PyTorch, ComfyUI or another supported environment. Drivers and framework dependencies are preconfigured.

Explore templates

GPU VMs

Get SSH and full root access when you need control over the operating system and runtime. Available configurations vary by GPU and region.

Explore VMs

GPU clusters

Bulk RTX PRO 6000 deployments offer 200–400 Gb/s networking without InfiniBand. Discuss network requirements before choosing them for distributed training.

Explore clusters

Sizing

Start with memory. Then measure performance.

Model weights are only part of the working set. Leave room for everything the job needs while it runs.

For inference

Account for model precision, context length, KV cache and concurrent requests. A model loading successfully does not tell you how much traffic it can serve.

For training

Include activations, gradients and optimizer state. Batch size, sequence length and checkpointing change memory use.

For multiple GPUs

GPU memory is not automatically pooled. Use a framework and parallelism strategy that distribute the workload across devices.

Hardware specifications: NVIDIA RTX PRO 6000. Software and workload affect realized performance.

Compare options

Compare memory and hourly rates.

Use this as a shortlist, then test your workload. Lower hourly pricing does not always mean a lower total job cost.

Published USD on-demand rates per GPU; storage extra. Availability and regional prices vary.

  • NVIDIA H200
    Memory
    141 GB HBM3e
    Architecture
    Hopper
    From / GPU / hour
    $3.99
  • NVIDIA H100
    Memory
    80 GB HBM3
    Architecture
    Hopper
    From / GPU / hour
    $2.69
  • NVIDIA B200
    Memory
    180 GB per GPU¹
    Architecture
    Blackwell
    From / GPU / hour
    Request a quote
  • NVIDIA RTX PRO 6000
    Memory
    96 GB GDDR7
    Architecture
    Blackwell
    From / GPU / hour
    $1.89
  • NVIDIA A100 80 GB
    Memory
    80 GB HBM2e
    Architecture
    Ampere
    From / GPU / hour
    $1.49
  • NVIDIA A100 40 GB
    Memory
    40 GB HBM2
    Architecture
    Ampere
    From / GPU / hour
    $0.89
  • NVIDIA L4
    Memory
    24 GB GDDR6
    Architecture
    Ada Lovelace
    From / GPU / hour
    $0.44

Before you start

Common questions.

Practical details for choosing and using this product.

How do I get started with NVIDIA RTX PRO 6000?

Choose a template or VM, select the GPU and region, and review the configuration and price in the dashboard before launch.

Is storage included in the GPU rate?

Storage is billed separately. Retained storage continues to incur charges while an instance is paused. Review the full configuration price before launching.

Will my model fit on one GPU?

This GPU has 96 GB GDDR7. Fit depends on weights, precision, framework overhead and workload state. For inference, also account for context and concurrency; for training, include activations and optimizer state.

Can I get more than eight GPUs?

For workloads spanning nodes, explore GPU clusters. Reserved capacity can be planned at 128, 256, 1,024 GPUs and beyond, subject to configuration and availability.

Get started with NVIDIA RTX PRO 6000.

Launch a GPU instance or talk to our team about the right setup for your workload.

Launch RTX PRO 6000