{"id":45918,"date":"2022-04-14T23:20:43","date_gmt":"2022-04-14T23:20:43","guid":{"rendered":"https:\/\/www.thepicpedia.com\/faq\/gpu-google-how-to-use-jupyter-notebook\/"},"modified":"2022-04-14T23:20:43","modified_gmt":"2022-04-14T23:20:43","slug":"gpu-google-how-to-use-jupyter-notebook","status":"publish","type":"post","link":"https:\/\/www.thepicpedia.com\/faq\/gpu-google-how-to-use-jupyter-notebook\/","title":{"rendered":"Gpu google how to use jupyter notebook ?"},"content":{"rendered":"
AI Platform Notebooks don’t have the drivers pre-installed. When you create an AI Platform Notebooks instance, if you choose to include a GPU, you must select the option to Install NVIDIA GPU driver automatically for me so the image is provisioned the latest stable driver based on the framework’s CUDA version.<\/p>\n
Beside above, can I use GPU in Jupyter notebook? You can choose any of our GPU types (GPU+\/P5000\/P6000). For this tutorial we are just going to pick the default Ubuntu 16.04 base template. Not comfortable with the command line? Try the Paperspace Machine-learning-in-a-box machine template which has Jupyter (and a lot of other software) already installed!<\/p>\n
Additionally, how do I enable GPU Jupyter notebook? <\/p>\n
In this regard, how do I use Google Cloud GPU? <\/p>\n
People ask also, how do I use my GPU for machine learning? <\/p>\n