* Cost is estimated, based on recommended minimal configuration. It does not include resources dynamically allocated by application in a runtime.
NVIDIA 2080 Ti
0.29€ per GPU*hour
0.004€ per GB*day
You can request any amount of CPU and RAM during the installation process.
Jupyter Notebook is a web-based interactive environment for your code and data. Its last generation - JupyterLab - supports a wide range of data science, machine learning and computing workflows. It can be used with various runtimes (kernels): Python, R, etc.
With Puzl you can get your Jupyter Notebook in a cloud, ready in just a few clicks. You can also add GPU(s) and choose from a variety of ready-to-go environments (Docker images) containing CUDA and popular AI/ML tools. As usual in Puzl, you can flexibly configure CPU and RAM requests for your app. You're paying only for resources actually utilized by your Jupyter Notebook and not for excess infrastructure like in the case with virtual machines.
In the article "Running Jupyter Notebook in cloud with GPU in 30 seconds", we have a step-by-step guide on how to run Jupyter Notebook and boost it with GPU.
Click the 'Install' button at the top of this page and fill in the form:
On your Jupyter Notebook page find section Access and click on the link provided at the top of the section. Your Jupyter Notebook app will be opened in a new tab. To access the interface you will need a password, which you have specified during the installation. You can find this password below the URL in the Access section.
To check resources, in your Jupyter Notebook open Terminal and run:
Check data on your Volume