Market/RTX 4090
consumer

NVIDIA GeForce RTX 4090

Rate $0.44 / hr. Eligible wallets are not charged. Runtime is one hour.

Specs

VRAM
24GB GDDR6X
CUDA cores
16384
Tensor cores
512
Memory bandwidth
1008 GB/s
FP32
82.6 TFLOPS
FP16
165.2 TFLOPS
Used for
Medium training, Image generation, Fine-tuning
Images on this GPU
  • PyTorch
    PyTorch with CUDA, cuDNN, and JupyterLab.
    pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
    8888/http 22/tcp
  • TensorFlow
    TensorFlow 2.x with CUDA and JupyterLab.
    tensorflow/tensorflow:latest-gpu-jupyter
    8888/http 22/tcp
  • Stable Diffusion
    Automatic1111 WebUI.
    stable-diffusion:web-ui-10.2.1
    3000/http 22/tcp
  • ComfyUI
    Node-based Stable Diffusion interface.
    stable-diffusion:comfy-ui-5.1.2
    3000/http 22/tcp
  • LLM Inference
    Text Generation WebUI.
    pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
    7860/http 22/tcp
Start
locked

Holders of 10,000 $GPU start against the treasury-funded cluster. Sessions are capped at 1 hour. Everyone else can read specs.

Runtime 1 hour (fixed)
GPU NVIDIA GeForce RTX 4090
Image pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
Ports 8888/http,22/tcp
Cost ~$0.44 covered if eligible

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