Rent NVIDIA RTX 5090 GPU by the hour
The NVIDIA RTX 5090 is a Blackwell architecture consumer GPU available for on-demand rental at Cloudj. It provides 32 GB of VRAM, about 1454 GB/s of memory bandwidth, and about 107.6 TFLOPS of FP32 compute performance. With CUDA compute capability 12.0 and a 575 W TDP, it is built for demanding compute and AI workloads.
Specifications
VRAM per GPU
32 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 107.6 TFLOPS
Memory bandwidth
≈ 1454 GB/s
Power limit
575 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 5090 is good for
Local LLM Inference
Run language models using vLLM or Ollama templates, utilizing the 32 GB of VRAM and about 1454 GB/s of memory bandwidth for fast token generation.
Image and Video Generation
Deploy ComfyUI workflows for complex diffusion pipelines that fit comfortably within the 32 GB memory capacity.
Model Fine-Tuning and Training
Use the PyTorch/CUDA template to fine-tune neural networks with about 107.6 TFLOPS of FP32 compute and CUDA compute capability 12.0.
GPU-Accelerated Rendering
Execute intensive rendering and simulation tasks that benefit from the Blackwell architecture and high memory throughput.
Is it the right GPU for you?
Choose the RTX 5090 when your workloads require 32 GB of VRAM and the high memory bandwidth of the Blackwell consumer architecture. If your models exceed 32 GB of memory, consider a larger workstation or datacenter GPU, whereas smaller consumer GPUs are more appropriate for lightweight inference and basic development.
Frequently asked questions
Rent the RTX 5090 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.