consumer
NVIDIA GeForce RTX 3090
Rate $0.26 / hr. Eligible wallets are not charged. Runtime is one hour.
Specs
VRAM
24GB GDDR6X
CUDA cores
10496
Tensor cores
328
Memory bandwidth
936 GB/s
FP32
35.6 TFLOPS
FP16
71.2 TFLOPS
Used for
Training, Rendering, Image generation
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
- TensorFlowTensorFlow 2.x with CUDA and JupyterLab.tensorflow/tensorflow:latest-gpu-jupyter8888/http 22/tcp
- Stable DiffusionAutomatic1111 WebUI.stable-diffusion:web-ui-10.2.13000/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 3090
Ports 8888/http,22/tcp
Cost ~$0.26 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