Rent NVIDIA RTX 4080S GPU by the hour
The NVIDIA RTX 4080S is a consumer-segment GPU built on the Ada Lovelace architecture, offering 16 GB of VRAM and compute capability 8.9. In Cloudj instances, it delivers about 50.9 TFLOPS of standard floating-point performance and about 600 GB/s of memory bandwidth within a 320 W power envelope. You can deploy it with per-hour billing, full SSH access, and pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 50.9 TFLOPS
Memory bandwidth
≈ 600 GB/s
Power limit
320 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 4080S is good for
Quantized LLM Inference
Run small to medium language models using vLLM or Ollama templates within the 16 GB VRAM budget and about 600 GB/s of memory bandwidth.
Diffusion Image Generation
Execute ComfyUI workflows and image synthesis pipelines using the Ada Lovelace architecture and about 50.9 TFLOPS of compute.
PyTorch Model Prototyping
Develop, test, and debug deep learning code on compute capability 8.9 hardware before scaling up to workstation or datacenter GPUs.
LoRA Fine-Tuning
Perform parameter-efficient fine-tuning on compact models and datasets that comfortably fit inside 16 GB of memory.
Is it the right GPU for you?
Pick the RTX 4080S when your workload needs modern Ada Lovelace support and fits within a 16 GB consumer memory footprint. Choose a smaller GPU for lightweight testing that requires less memory, or step up to a larger consumer, workstation, or datacenter card when unquantized models or large batch sizes exceed 16 GB of VRAM.
Frequently asked questions
Rent the RTX 4080S by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.