consumer
NVIDIA GeForce RTX 4080
Rate $0.29 / hr. Eligible wallets are not charged. Runtime is one hour.
Specs
VRAM
16GB GDDR6X
CUDA cores
9728
Tensor cores
304
Memory bandwidth
716.8 GB/s
FP32
48.7 TFLOPS
FP16
97.4 TFLOPS
Used for
Image generation, Small training, Inference
Images on this GPU
- PyTorchPyTorch with CUDA, cuDNN, and JupyterLab.pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.048888/http 22/tcp
- Stable DiffusionAutomatic1111 WebUI.stable-diffusion:web-ui-10.2.13000/http 22/tcp
- ComfyUINode-based Stable Diffusion interface.stable-diffusion:comfy-ui-5.1.23000/http 22/tcp
- CUDAUbuntu with CUDA toolkit. SSH only.nvidia/cuda:12.1.0-devel-ubuntu22.0422/tcp
Start
locked
Hold any amount of $GPU to start a treasury-funded session. Every session is capped at 1 hour.
Runtime 1 hour (fixed)
GPU NVIDIA GeForce RTX 4080
Ports 8888/http,22/tcp
Cost ~$0.29 covered if eligible
Use your public key only. Create a key locally with ssh-keygen -t ed25519, then paste the contents of ~/.ssh/id_ed25519.pub.
Connect a wallet on Robinhood Chain.
My sessions & SSH access