Rent NVIDIA RTX PRO 4000 GPU by the hour
The NVIDIA RTX PRO 4000 is a Blackwell-architecture workstation GPU available on ONIE with 24 GB of VRAM and CUDA compute capability 12.0. It delivers about 44.3 TFLOPS of single-precision compute and about 529 GB/s of memory bandwidth while operating at a 145 W TDP. You can deploy it with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
Architecture
Compute capability
FP32 compute
Memory bandwidth
Power limit
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
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What the RTX PRO 4000 is good for
Local LLM Inference
Run quantized or medium-sized language models using Ollama or vLLM within the 24 GB memory capacity.
Generative Media Workflows
Execute image and video generation pipelines in ComfyUI without hitting memory limits common on smaller cards.
Model Prototyping and Tuning
Develop and fine-tune deep learning models in PyTorch/CUDA while taking advantage of Blackwell compute capability 12.0.
Workstation Rendering and Compute
Handle professional graphics, simulation, and rendering workloads that benefit from workstation drivers and about 529 GB/s of memory bandwidth.
Is it the right GPU for you?
Choose the RTX PRO 4000 if you need a modern Blackwell workstation card with 24 GB of VRAM for development, rendering, or moderate AI workloads. Opt for a smaller GPU for lightweight inference and basic testing, or move to a larger datacenter GPU if your training pipelines require more memory capacity or higher memory bandwidth.
Compare with similar GPUs
Frequently asked questions
Is the RTX PRO 4000 suitable for LLM inference and fine-tuning?
Yes, its 24 GB of VRAM and about 529 GB/s of memory bandwidth make it capable of running inference and LoRA fine-tuning on small to medium-sized language models. For full-parameter training of large models, a GPU with more VRAM is recommended.
What software templates are available for this GPU on ONIE?
You can launch the RTX PRO 4000 with pre-configured templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. Full SSH access is included so you can customize your environment and install additional dependencies.
How does this Blackwell workstation GPU compare to smaller or larger options?
With CUDA compute capability 12.0, 24 GB of VRAM, and about 44.3 TFLOPS of single-precision compute at 145 W, it offers modern architecture support and more memory than entry-level cards. Larger workstation or datacenter GPUs provide higher memory capacity and bandwidth for heavier parallel workloads.
How does billing work for the RTX PRO 4000?
Instances on ONIE use per-hour billing, allowing you to pay only for the time your workstation GPU is active.
Rent the RTX PRO 4000 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent RTX PRO 4000