## Get a Google support package

Google Cloud offers different support packages to meet different needs, such as 24/7
coverage, phone support, and access to a technical support manager. For more information,
see [Cloud Customer Care](https://docs.cloud.google.com/support).

## Get support from the community

### Ask a question on Stack Overflow

Ask a question about Deep Learning VM on [Stack
Overflow](https://stackoverflow.com/questions/tagged/google-dl-platform). Use the tag `google-dl-platform`
for questions about Deep Learning VM. This tag not only receives responses
from the Stack Overflow community, but also from Google engineers, who monitor
the tag and offer unofficial support.

### Discuss Deep Learning VM

You can visit the Google Cloud
[Slack community](https://googlecloud-community.slack.com/) to discuss
Deep Learning VM and other Google Cloud products. If you haven't
already joined,
[use this form to sign up](https://join.slack.com/t/googlecloud-community/shared_invite/zt-3icuwfdvq-eq_58LqmOoCNc16mpZcaNA).


You can also join the
[google-dl-platform](https://groups.google.com/forum/#!forum/google-dl-platform)
Google group to discuss Deep Learning VM.


## File bugs or feature requests

From the Deep Learning VM documentation, click "Send feedback" near the
top right of the page. This will open a feedback form. Your comments will be
reviewed by the Deep Learning VM team.

## Frequently asked questions

### How do I transfer files to my instance?

See [Transferring Files to Instances](https://docs.cloud.google.com/compute/docs/instances/transfer-files)
in the Compute Engine documentation.

### Why can't I create a GPU instance?

If you're trying to launch a Deep Learning VM instance
with an attached GPU, and
see an error message similar to:

```
You've reach your limit of x GPUs...
```

You may need to request an increase to your GPU quota. Check the
[quotas page](https://console.cloud.google.com/quotas) to ensure that you have
enough GPUs available in your project. If GPUs are not listed on the quotas
page or you require additional GPU quota,
[request a quota increase](https://docs.cloud.google.com/compute/quotas#requesting_additional_quota).

Specific GPU models are only available in specific zones; see the
[GPU models table](https://docs.cloud.google.com/compute/docs/gpus/gpu-regions-zones) for details.

If the error is similar to:

```
The zone x does not have enough resources available to fulfill the request.
```

Then there are no available GPUs in the selected zone.
You must select one of the
[zones that support GPU accelerators](https://docs.cloud.google.com/compute/docs/gpus/gpu-regions-zones).