gcp-ai-platform-notebook

问题 I'm trying to create an GCP AI Platform Notebook with GPUs. When I create the notebook it gives me the error: Quota 'GPUS_ALL_REGIONS' exceeded. Limit: 0.0 globally However, I have requested a quota increase and had it approved. Why am I still seeing this error? 回答1: Turns out there are two types of quotas (Regional and Global) for GPUs and you want to make sure that you've increased both of them. You can only be allocated more GPUs if neither of those quotas is being exceeded. You can

问题 While working on Udacity Deep Learning assignments, I encountered memory problem. I need to switch to a cloud platform. I worked with AWS EC2 before but now I would like to try Google Cloud Platform (GCP). I will need at least 8GB memory. I know how to use docker locally but never tried it on the cloud. Is there any ready-made solution for running Tensorflow on GCP? If not, which service (Compute Engine or Container Engine) would make it easier to get started? Any other tip is also

问题 I'm using the pre-built AI Platform Jupyter Notebook instances to train a model with a single Tesla K80 card. The issue is that I don't believe the model is actually training on the GPU. nvidia-smi returns the following during training: No Running Processes Found Not the "No Running Process Found" yet "Volatile GPU Usage" is 100%. Something seems strange... ...And the training is excruciatingly slow. A few days ago, I was having issues with the GPU not being released after each notebook run.