| # Installing MXNet on the Cloud |
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| You can start using MXNet on the cloud with MXNet pre-installed. Refer below for more details. |
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| ## Install MXNet Using Amazon Machine Images(AMIs) |
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| Here is a link to an AWS blog illustrating how to set up an Amazon Machine Image(AMI) that supports both MXNet and other popular deep learning frameworks. |
| * [P2 and Deep Learning Blog](https://aws.amazon.com/blogs/aws/new-p2-instance-type-for-amazon-ec2-up-to-16-gpus/) |
| * [Deep Learning AMI](https://aws.amazon.com/marketplace/pp/B01M0AXXQB) |
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| Or you can use Bitfusion's MXNet AMI with a variety of deep learning and data science libraries and frameworks pre-installed, plus MXNet tutorial Jupyter notebook sample code. |
| * [Bitfusion MXNet AMI](https://aws.amazon.com/marketplace/pp/B01NBF5O1N/ref=_ptnr_docs_mxnet) |
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| ## Use MXNet on Multiple Instances with AWS |
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| To scale up on AWS GPU instances using a CloudFormation template, you can follow the instructions linked in the blog below. |
| * [CloudFormation Template AWS Blog](https://aws.amazon.com/blogs/compute/distributed-deep-learning-made-easy/) |
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| # Next Steps |
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| * [Tutorials](http://mxnet.io/tutorials/index.html) |
| * [How To](http://mxnet.io/how_to/index.html) |
| * [Architecture](http://mxnet.io/architecture/index.html) |
