Rent NVIDIA RTX PRO 4000 GPU by the hour
The NVIDIA RTX PRO 4000 is a Blackwell-architecture workstation GPU available on Cloudj 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
24 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 44.3 TFLOPS
Memory bandwidth
≈ 529 GB/s
Power limit
145 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
Live stock and prices, updated continuously. The final price is confirmed before you order.
Rent nowWhat 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.
Frequently asked questions
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.