Skip to content

Update Azure Cloud Partner #502

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Oct 13, 2020
Merged

Update Azure Cloud Partner #502

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6a7b7ed
Update Azure Cloud Partner
Bgreen23 Oct 9, 2020
a6bf66a
Rearrange dropdown options, Change paragraph order
Oct 12, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 7 additions & 8 deletions _get_started/installation/azure.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,10 +5,9 @@ To gain the full experience of what PyTorch has to offer, a machine with at leas

Azure [provides](https://azure.microsoft.com/en-us/services/machine-learning-services/){:target="_blank"}:

* a [machine learning service](https://azure.microsoft.com/en-us/services/machine-learning/) with a robust Python SDK to help you train and deploy PyTorch models at cloud scale.
* dedicated, pre-built [machine learning virtual machines](https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/){:target="_blank"}, complete with PyTorch.
* bare Linux and Windows virtual machines for you to do a custom install of PyTorch.
* [notebooks](https://notebooks.azure.com/pytorch){:target="_blank"} to help you learn PyTorch and machine learning.
* a [machine learning service](https://azure.microsoft.com /en-us/services/machine-learning-services/ ) with a robust Python SDK to help you train and deploy PyTorch models at cloud scale.

## Azure Primer
{: #microsoft-azure-primer}
Expand All @@ -17,12 +16,6 @@ In order to use Azure, you need to set up an [Azure account](https://azure.micro

Once you are logged in, you will be brought to your [Azure portal](https://portal.azure.com/){:target="_blank"}. You can even learn more about Azure through a set of [simple video tutorials](https://azure.microsoft.com/en-us/get-started/video/){:target="_blank"}.

### GPU-based Virtual Machines

Generally, you will be using [Azure Virtual Machines](https://azure.microsoft.com/en-us/services/virtual-machines/){:target="_blank"}) to begin with PyTorch. Microsoft has various virtual machine types and pricing options, with both [Linux](https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/){:target="_blank"} and [Windows](https://azure.microsoft.com/en-us/pricing/details/virtual-machines/windows/){:target="_blank"}, all of which are configured for specific use cases. For PyTorch, it is highly recommended that you use the [GPU optimized](https://docs.microsoft.com/en-us/azure/virtual-machines/linux/sizes-gpu){:target="_blank"}, virtual machines. They are tailored for the high compute needs of machine learning.

The expense of your virtual machine is directly correlated to the number of GPUs that it contains. The NC6 virtual machine is, for example, one of the smallest, cheapest virtual machines and can actually be suitable for many use cases.

## Azure Machine Learning Service
{: #microsoft-azure-machine-learning-service}

Expand All @@ -35,6 +28,12 @@ See [the documentation](https://docs.microsoft.com/en-us/azure/machine-learning/

Azure [provides](https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/){:target="_blank"} [pre-configured](https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/){:target="_blank"} data learning and machine learning virtual machines. PyTorch are available on many of these - for example here is the [documentation](https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro){:target="_blank"} for how to setup an Azure virtual machine on Ubuntu Linux.

### GPU-based Virtual Machines

Microsoft has various virtual machine types and pricing options, with both [Linux](https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/){:target="_blank"} and [Windows](https://azure.microsoft.com/en-us/pricing/details/virtual-machines/windows/){:target="_blank"}, all of which are configured for specific use cases. For PyTorch, it is highly recommended that you use the [GPU optimized](https://docs.microsoft.com/en-us/azure/virtual-machines/linux/sizes-gpu){:target="_blank"}, virtual machines. They are tailored for the high compute needs of machine learning.

The expense of your virtual machine is directly correlated to the number of GPUs that it contains. The NC6 virtual machine is, for example, one of the smallest, cheapest virtual machines and can actually be suitable for many use cases.

## Installing PyTorch From Scratch
{: #microsoft-azure-from-scratch}

Expand Down
13 changes: 7 additions & 6 deletions _includes/quick_start_cloud_options.html
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
</ul>
</div>
</div>

<div class="cloud-option-row">
<div class="cloud-option" data-toggle="cloud-dropdown">
<div class="cloud-option-body aws" id="aws">
Expand All @@ -20,7 +20,7 @@
<li><a href="https://aws.amazon.com/pytorch/">PyTorch on AWS</a></li>
<li><a href="https://sagemaker.readthedocs.io/en/stable/using_pytorch.html">Amazon SageMaker</a></li>
<li><a href="https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/deep-learning-containers-ec2-tutorials-training.html#deep-learning-containers-ec2-tutorials-training-pytorch">AWS Deep Learning Containers</a></li>
<li><a href="https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-pytorch.html">AWS Deep Learning AMIs</a></li>
<li><a href="https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-pytorch.html">AWS Deep Learning AMIs</a></li>
</ul>
</div>
</div>
Expand All @@ -34,11 +34,11 @@
<ul>
<li><a href="https://cloud.google.com/deep-learning-vm/docs/pytorch_start_instance">Cloud Deep Learning VM Image</a></li>
</ul>

<ul>
<li><a href="https://cloud.google.com/ai-platform/deep-learning-containers/">Deep Learning Containers</a></li>
</ul>

</div>
</div>

Expand All @@ -49,8 +49,9 @@
</div>

<ul>
<li><a href="https://azure.microsoft.com/en-us/services/machine-learning-service/">Azure Machine Learning</a></li>
<li><a href="https://azure.microsoft.com/en-us/develop/pytorch/">Learn More</a></li>
<li><a href="https://azure.microsoft.com/en-us/develop/pytorch/">PyTorch on Azure</a></li>
<li><a href="https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-pytorch">Azure Machine Learning</a></li>
<li><a href="https://docs.microsoft.com/en-us/azure/azure-functions/machine-learning-pytorch?tabs=bash">Azure Functions</a></li>
</ul>
</div>
</div>
Expand Down