You can access the AMI listing page either from the AWS marketplace url or directly from the EC2 Console in the AWS Marketplace category.
On the marketplace AMI page, click on “Continue to Subscribe” and Accept to enable the AMI for your account. Note that subscribing does not incur charges on your account. It simply allows you to access the AMI.
Select the region, vpc and your key pair settings. The configured security group has ports tcp/8888
(jupyter notebook) and tcp/22
(ssh) open by default.
When selecting the EC2 instance type, if you select a p2.*
or p3.*
instance, those come with GPUs, and the AMI will automatically configure the required drivers and packages to enable Tensorflow and Pytorch to take advantage of the GPU acceleration.
For more information on how to configure EC2 instances, refer to the Amazon documentation
This step is optional.
The AMI supports custom configuration enabled by changing the instance’s user data
at launch time.
When configuring the launch settings, look for the User Data section. You can set user data when configuring the instance to enable the following options:
S3_BUCKET=your-s3-bucket-name
After launching the instance, open the ec2 console to find out the IP address and the instance id (the instance id is the password in the jupyter login screen)
instance-ip
)i-1edca67e90cbhdef0
). This is your Jupyter password to log in to your instancehttps://<instance-ip>:8888
(replace <instance-ip>
with your instance’s ip. ex: 102.52.12.44)Please note: The url above starts with https. This is to make sure the traffic between your computer and the notebook is encrypted for safety reasons. If you get a timeout
or unable to connect
error, ensure your url starts with https.
You should see an SSL certificate warning.
The AMI generates a self-signed SSL certificate in order to encrypt traffic between your browser and the Jupyter server. Because the certificate is self-signed and was not certified by a Certificate Authority (CA), your browser will show a warning.
Click Advanced
and accept the security exception to continue.
You should see the Jupyter Log in screen.
Use your instance id as the Jupyter password to log in. You can find your instance id in the EC2 console.
You should now be in the Jupyter environment. You can create a new notebook and start coding
If you still need help, please contact support@sigmodata.com
You can access the AMI listing page either from the AWS marketplace url or directly from the EC2 Console in the AWS Marketplace category. On the marketplace AMI page, click on **"Continue to Subscribe"** and Accept to enable the AMI for your account. Note that subscribing does not incur charges on your account. It simply allows you to access the AMI.
You will get a confirmation and after a short period the product will be enabled for your account.
Select the region, vpc and your key pair settings. The configured security group has ports `tcp/8888` (jupyter notebook) and `tcp/22` (ssh) open by default.
When selecting the EC2 instance type, if you select a `p2.*` or `p3.*` instance, those come with GPUs, and the AMI will automatically configure the required drivers and packages to enable Tensorflow and Pytorch to take advantage of the GPU acceleration.
For more information on how to configure EC2 instances, refer to the Amazon Documentation
This step is optional.
The AMI supports custom configuration enabled by changing the instance's `user data` at launch time.
When configuring the launch settings, look for the User Data section. You can set user data when configuring the instance to enable the following options:
S3 Access: If you wish to persist your notebooks to long-term storage, you can use Amazon S3 as storage backend for JupyterAfter launching the instance, open the ec2 console to find out the IP address and the instance id (the instance id is the password in the jupyter login screen)
You should see an SSL certificate warning.
The AMI generates a self-signed SSL certificate in order to encrypt traffic between your browser and the Jupyter server. Because the certificate is self-signed and was not certified by a Certificate Authority (CA), your browser will show a warning. Click `Advanced` and accept the security exception to continue.
You should see the Jupyter Log in screen.
Use your instance id as the Jupyter password to log in. You can find your instance id in the EC2 console.
You should now be in the Jupyter environment. You can create a new notebook and start coding If you still need help, please contact support@sigmodata.com