Dedicated 1:1 GPU

A whole GPU just for you, for AI, video and rendering.

Server with a 96 GB NVIDIA RTX PRO 6000 Blackwell, delivered 1:1 via passthrough: no slices, no queues, no noisy neighbors. Ubuntu 24.04 with CUDA ready, root access and deployment assisted by GeHost.

Video memory96 GB GDDR7 ECC
Performance~120 TFLOPS FP32
Ready to useCUDA + root
Europe
Official GeHost catalog

One configuration, the whole card for you

Price, specs and availability come straight from the GeHost panel. The card is yours alone for the whole contract.

Available
USA (Central) or Europe

Dedicated GPU RTX PRO 6000

NVIDIA RTX PRO 6000 Blackwell card delivered 1:1 for AI, LLMs, image, video and rendering.

Monthly fee
US$ 2.200/mo
No setup fee
R$ 11.490,00¥357.389

Prices in US dollars (US$); billing is converted to your account currency.

Graphics cardNVIDIA RTX PRO 6000 Blackwell Server Edition — 96 GB GDDR7 ECC, 1:1 dedicated (passthrough)
Processor18 vCPU
Memory96 GB
Storage900 GB NVMe
TrafficUnlimited (fair use)
SystemUbuntu 24.04 with CUDA ready
RegionsUSA (Central) or Europe
~120 TFLOPS FP32 and 5th-gen Tensor CoresModels up to ~70B in FP84× NVENC with AV1Full root accessDeployment and validation by GeHost
Even after payment is complete, delivery may take up to 48 h and depends on availability. If there is no availability, you choose between a full refund or credit in your GeHost account.
Order nowYou choose the region when ordering.
Specifications

Blackwell architecture, never split

A card from the professional Blackwell line, connected straight to your machine.

96 GB

GDDR7 with ECC: room for large models, large batches and heavy scenes.

~120 TFLOPS

of FP32 for training, inference, simulation and rendering.

5th generation

Tensor Cores, with FP8 for faster AI.

4× NVENC

with AV1 to transcode several streams at the same time.

1:1

passthrough: the whole card is yours, no vGPU and no time slicing.

18 vCPU

96 GB of RAM and 900 GB NVMe to feed the GPU.

Built for heavy workloads

What you run on it

AI and LLMs

Inference of models up to ~70B parameters in FP8, with vLLM, Ollama, llama.cpp or whatever you prefer.

AI image and video

Image and video generation with ComfyUI, Stable Diffusion, FLUX and video models, with no queue.

Rendering

Blender, Unreal and GPU render engines with 96 GB for large scenes and heavy textures.

Transcoding

4 NVENC encoders with AV1 for streaming, VOD and video conversion at scale.

International presence

Choose the region when ordering

USA (Central)

For operations and customers in the Americas, ideal for AI APIs and services aimed at the United States.

RTX PRO 6000 96 GBUnlimited traffic

Europe

For operations and customers in Europe, with the same configuration and the same GeHost support.

RTX PRO 6000 96 GBUnlimited traffic
Accompanied deployment

You order, the team sets it up.

When you place the order, a ticket is opened right away with the order details. The team prepares the card, the system and CUDA, and replies in the ticket with root access.

After purchaseAutomatic ticket
No availabilityFull refund or credit
Ordering process

From order to ready GPU

1

Choose the region and place the order

USA (Central) or Europe, in the GeHost panel cart.

2

The ticket opens by itself

With product, region, hostname and invoice. You follow everything there.

3

We prepare the server

Even after payment is complete, delivery may take up to 48 h and depends on availability. If unavailable, you choose a full refund or credit.

4

You get access

Ubuntu 24.04 with CUDA ready and root access, delivered in the order ticket.

Frequently asked questions

Before ordering your GPU

Any questions? Talk to the team before placing the order.

No. The RTX PRO 6000 is delivered 1:1 via passthrough: the whole card, with all 96 GB, stays with your server only.

Even after payment is complete, delivery may take up to 48 h and depends on availability. Progress is shown in the ticket opened with your order.

You choose: a full refund of the amount paid or credit in your GeHost account.

With 96 GB of video memory, models up to ~70B parameters in FP8 run on the card, as well as image and video models.

Ubuntu 24.04 with NVIDIA drivers and CUDA ready, and full root access to install whatever you need.

There is no traffic cap. Usage follows the fair use policy, with no abusive activity.
Dedicated GPU

Ready to put the card to work?

Place the order, choose the region and follow the deployment through the ticket. Prefer to talk first? The team helps you size it.