Rent NVIDIA RTX 3090 GPU by the hour
The NVIDIA RTX 3090 is an Ampere-architecture consumer GPU equipped with 24 GB of VRAM and compute capability 8.6. It delivers about 35.4 TFLOPS of standard single-precision compute and about 805 GB/s of memory bandwidth at a 350 W power rating. You can rent this GPU on Cloudj 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 Ampere
Compute capability
8.6
FP32 compute
≈ 35.4 TFLOPS
Memory bandwidth
≈ 805 GB/s
Power limit
350 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 3090 is good for
Local-scale LLM inference
Run quantized or mid-sized language models in 24 GB of VRAM using pre-configured vLLM or Ollama templates.
Image generation workflows
Deploy ComfyUI to generate high-resolution images and run custom diffusion pipelines without hitting memory limits on standard consumer cards.
Model fine-tuning and training
Use the PyTorch/CUDA template to fine-tune neural networks that fit within a 24 GB memory envelope and leverage about 805 GB/s of memory bandwidth.
General CUDA compute
Execute custom workloads compiled for compute capability 8.6 with about 35.4 TFLOPS of single-precision performance.
Is it the right GPU for you?
The RTX 3090 suits developers and researchers who need 24 GB of VRAM for memory-intensive tasks on a consumer-segment Ampere card. Choose a smaller GPU for lightweight inference that requires less memory, or step up to a workstation or datacenter GPU if your models exceed 24 GB of VRAM or require newer architecture features.
Frequently asked questions
Rent the RTX 3090 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.