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bcjordanjph00
authored andcommittedMay 9, 2019
Update start_gcp.md (fastai#284)
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‎docs/start_gcp.md

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@@ -139,8 +139,8 @@ ERROR: (gcloud.compute.instances.create) Could not fetch resource:
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You need to adjust your GPU quotas.
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1. Go to [Google Cloud Quotas Page](https://console.cloud.google.com/iam-admin/quotas).
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2. If you signed up with a free tier account, you first need to upgrade to a paid account; do so by clicking the "Upgrade account" button at the top right of the page. This won't affect your $300 credit.
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3. In filter type, select metric to be GPUs(all regions) and Location as Global
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4. Click edit quotas and select the quota to edit(GPUs All Regions). Set the new quota limit to 1 or more
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3. In filter type, select metric to be GPUs (all regions) and Location as Global.
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4. Click edit quotas and select the quota to edit (GPUs All Regions). Set the new quota limit to 1 or more.
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Your request may require confirmation, which Google claims typically takes two business days to get.
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You will have to wait a little bit until you see the text informing you the instance has been created. You can see the instance online [here](https://console.cloud.google.com/compute/) in your list of instances (note that this will be the page you have to go to later to stop your instance).
@@ -191,7 +191,7 @@ You should also update the fastai library:
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sudo /opt/anaconda3/bin/conda install -c fastai fastai
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```
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Next from your [jupyter notebook](http://localhost:8080/tree), click on 'tutorials', 'fastai' and you should look at something like this
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Next, from your [jupyter notebook](http://localhost:8080/tree): click on 'tutorials', 'fastai', 'course-v3', and you should see something like this:
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<img alt="nb tuto" src="/images/jupyter.png" class="screenshot">
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