@gpuwrld
Market/JupyterLab
Development

JupyterLab

JupyterLab with CUDA, PyTorch, TensorFlow, and common data science libraries.

Details

Image
pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
Ports
8888/http, 22/tcp
Setup
1-2 minutes
Difficulty
beginner
Features
Python notebooks, CUDA, ML libraries preinstalled
Compatible GPUs
RTX 3090
24GB GDDR6X
budget$0.26 / hr
RTX 4080
16GB GDDR6X
budget$0.29 / hr
RTX 4090
24GB GDDR6X
standard$0.44 / hr
RTX A5000
24GB GDDR6
standard$0.36 / hr
RTX A6000
48GB GDDR6
premium$0.49 / hr
A100 40GB
40GB HBM2e
premium$1.29 / hr
A100 80GB
80GB HBM2e
enterprise$1.89 / hr
H100 80GB
80GB HBM3
enterprise$2.99 / hr
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
App JupyterLab
Image pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
Ports 8888/http,22/tcp
Cost ~$0.26 covered if eligible

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