Rent an RTX 5080 — 0 online right now
Rent an RTX 5080 (16 GB VRAM) from real people: 0 online now. Hosts set the price; FairGPU keeps 10 %.
| Spec | Value |
|---|---|
| Model | NVIDIA GeForce RTX 5080 |
| VRAM | 16 GB |
| Online now | 0 machines (0 available), 0 GPUs |
| Price | none online |
| Countries | - |
No RTX 5080 is online right now. See what is.
Templates that fit
- PyTorch + JupyterLab - Ubuntu 22.04, CUDA 12.4, PyTorch (cu124), JupyterLab and SSH. The default interactive image.
- TensorFlow + JupyterLab - Ubuntu 22.04, CUDA 12.4, TensorFlow (and-cuda), JupyterLab and SSH.
- Plain CUDA + SSH - Bare CUDA 12.4 container with SSH only: bring your own stack.
- ComfyUI - Node-based Stable Diffusion / Flux UI on port 8188, plus SSH.
- Stable Diffusion WebUI (A1111) - AUTOMATIC1111 Stable Diffusion WebUI on port 7860, plus SSH.
- Ollama - Ollama server on port 11434 (OLLAMA_HOST=0.0.0.0), plus SSH. Pull any model with `ollama pull`.
Frequently asked questions
How much does it cost to rent an RTX 5080 on FairGPU?
No RTX 5080 is online at the moment; hosts set their own hourly price and the 10 % platform fee is included.
How much VRAM does the RTX 5080 have?
16 GB as reported by the hosts' drivers.
What can I run on an RTX 5080?
Any of the official templates that fit 16 GB of VRAM (PyTorch + JupyterLab, TensorFlow + JupyterLab, Plain CUDA + SSH, ComfyUI, Stable Diffusion WebUI (A1111), Ollama), an SSH + JupyterLab session, or any public Docker image as a batch job.
How do I connect?
Pick a machine, top up from $5, and connect by SSH or open JupyterLab in the browser in under a minute. Billing stops the second you stop the rental.