Rent NVIDIA RTX 4080 GPU by the hour
The NVIDIA RTX 4080 is an Ada Lovelace consumer GPU equipped with 16 GB of VRAM and compute capability 8.9. In our cloud environment, it delivers about 48.6 TFLOPS of single-precision performance and about 576 GB/s of memory bandwidth while operating at a 285 W power rating. You can deploy it on Cloudj with per-hour billing, full SSH access, and pre-configured templates.
Specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 48.6 TFLOPS
Memory bandwidth
≈ 576 GB/s
Power limit
285 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 4080 is good for
Quantized LLM Inference
Run small to medium language models that fit comfortably within 16 GB of VRAM using ready Ollama or vLLM templates.
Image Generation Workflows
Generate high-resolution images and run custom diffusion pipelines using the pre-built ComfyUI template.
Model Prototyping and LoRA
Develop code and run lightweight parameter-efficient fine-tuning jobs on PyTorch/CUDA with Ada Lovelace architecture support.
Batch Data Processing
Utilize about 48.6 TFLOPS of single-precision compute and about 576 GB/s of memory bandwidth for parallel data preprocessing and inference tasks.
Is it the right GPU for you?
The RTX 4080 suits developers who need Ada Lovelace compute capability 8.9 and 16 GB of VRAM for inference, diffusion models, and prototyping. Choose a smaller consumer GPU for basic scripts with lower memory demands, or step up to a higher-VRAM consumer, workstation, or datacenter GPU if your model weights exceed 16 GB.
Frequently asked questions
Rent the RTX 4080 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.