Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Describe the bug I'm facing this error when I try to start runtime: You can’t use the project runtime because your account is associated with activity that may have violated our Service Terms.

To Reproduce Steps to reproduce the behavior:

1. Go to ''Login page and sign in"
2. Click on 'Start Runtime'
3. See error

Expected behavior COU/GPU runtime should start.

Screenshots

Desktop (please complete the following information):

• OS: Windows 10
• Browser Google Chrome

Describe the bug When I started the project: You can’t use the project runtime because your account is associated with activity that may have violated our Service Terms. To Reproduce Steps to reproduce the behavior: 1、Go to ''Login page and sign in" 2、Click on 'Start Runtime' 3、See error

Expected behavior COU/GPU runtime should start.

Screenshots

Desktop (please complete the following information): OS: Windows 10 Browser Google Chrome

Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. No my feature request is not related to a problem!

Describe the solution you'd like A clear and concise description of what you want to happen. Since aws has multiple variety of different GPUS why not add this in studiolab for shorter runtimes in exchange since its free?

For an example for high loads you can choose a Tesla V100 notebook that will run for 2 hours, the default GPU can remain 4 hours

That’s my feedback, thanks

Describe the bug

To Reproduce I've deleted some of the unwanted notebooks from studio lab's files and now I am getting this error. cannot install libraries with pip, cannot create new files, cannot even start kernel

Is your feature request related to a problem? Please describe. I created a Private Access Token from my GitHub account and I cloned my private repo through the Git tab in SageMaker Studio. When I did this, my Chrome browser (Windows 11) saved my credentials.

Each time I push/pull to this private repo (for which credentials are required), SageMaker studio asks me to provide my credentials. However, the web browser doesn't recognize the form and I have to manually copy/paste them in the right boxes.

FYI, the Private Access Token it provided only once and it means that I need to have it saved somewhere else.

Describe the solution you'd like 2 possible solutions:

• Enable the web browser to capture the credential form and paste automatically the credentials into them. Then the user just needs to select which Username from the Browser-Pre-Saved Password List or directly press OK.
• Have the possibility to configure git in order to pull out the credentials automatically from AWS ARN Secret. The ARN would be generated a 1st time by adding the git repo in SageMaker > Notebook > Git repositories > Add Repository. Then we would just refer to the arn link from SageMaker Studio.

Describe alternatives you've considered So far 3 alternatives:

1. Fill by hand
2. Avoid using studio -> fall back on regular notebook instances
3. Try to write a script based on ssh connection + config of git client (noticed that ssh-add didn't work for me -> "Could not open a connection to your authentication agent.")

Additional context None

I received an email from Sagemaker Studio Lab team that I was approved for an account couple of days ago. I tried multiple times to sign up, but it says the information is incorrect or the approval is expired. I am using the same email I used to request a free account and I tried to sign up the day I received the approval and I tried it today and I have still no luck. I don't know where else to turn to because there is no help form.

Describe the bug Error message "You can't use the project runtime because your account is associated with activity that may have violated our Service Terms"

To Reproduce Steps to reproduce the behavior:

1. Go to 'CPU or GPU runtimes'
2. Click on 'Start runtime'
3. See error

Expected behavior Successfully start the runtime and continue work sessions

Screenshots

Desktop (please complete the following information):

• OS: Windows 10 Pro
• Browser Microsoft Edge

Additional context This issue has been very common recently and i don't know why, i was training my ML models and all of a sudden i can't get back on my sessions anymore, can you fix this? i believe that currently the system of the service is behaving weirdly cause it thinks that many users violated something when that's not true at all, most of the rules aren't even possible to be violated in the first place so why does this error occurs we need more fixing and explanations from the team thanks!

Is your feature request related to a problem? Please describe. I want to be able to test my notebook locally and share my notebook without necessarily having access to AWS resources

Describe the solution you'd like An example of how to run a notebook against AWS resources created using localstack, with the option to run the notebook against an AWS account if provided

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context Add any other context or screenshots about the feature request here.

Describe the bug The GPU execution time never restart. My user is mregueira. I have used GPU time once but it has never restarted, I'm not able to start a GPU session anymore. I have tried to eliminate the account and create it again, but the issue remains

To Reproduce Steps to reproduce the behavior:

1. Select compute type GPU
2. Click on Start run time
3. There is no runtime available right now. Please change the compute type or try again later.

Expected behavior A clear and concise description of what you expected to happen.

Screenshots

Desktop (please complete the following information):

• OS: Windows 10
• Browser chrome

Thanks for your support, Miguel

Description When attempting to start a GPU runtime, you are prompted for a phone number in international format. However, if you happen to have a phone number that is less than 12-digits, you are unable to register it. Instead, you receive an error "please enter an-12 digit phone number".

To Reproduce Steps to reproduce the behavior:

1. Change the runtime to GPU
2. Click on 'start runtime'
3. Accept any prompts
4. Enter your phone number in the correct international format.
5. If your number happens to be less than 12 digits long, You will receive an error and signup will not complete.

Expected behavior The interface should allow all legitimate phone numbers to be added, rather than only those that happen to be 12 digits or more long. Given that the number is used for verification, this in itself should serve as the test of whether a number is legitimate or not. Length of a phone number is not a guaranteed way to determine this, and potentially prevents entire countries from ever verifying their number.

Desktop (please complete the following information):

• OS: Windows and IOS
• Browser Firefix, Chrome, Safari

Describe the bug Studio Lab can not start the CPU mode for several days. It responds "There was a problem when loading your project. ...."

Expected behavior Studio Lab can not start even in the CPU mode.

Screenshots

Desktop:

• OS: Windows 11
• Browser: MS Edge

Describe the bug Though working just yesterday, now when trying to run my jupyter notebook, the kernel doesn't connect and the menu only shows default kernel even though I have multiple environments set up and "conda env list" lists all of the environments properly. I have tried restarting everything (jupyter, cpu instance and file) but problem persists

To Reproduce Steps to reproduce the behavior: Try to run Jupyter notebook

Expected behavior Should connect to kernel and run

Screenshots

Desktop (please complete the following information):

• OS: Windows
• Browser Chrome
• Version 108

Additional context Add any other context about the problem here.

Describe the bug No idea about the current version of sagelab since I didn't touch it for almost a month. Today I created a new env by conda and wanted to install some libraries and dependencies. The installation said it is successful however when I wanna run something, it says no module name TensorFlow and other things. I checked with conda list, all none. I tried adding --user command but it doesn't work.

Here is the error :

ERROR: Could not install packages due to an OSError: [Errno 13] Permission denied: '/opt/conda/lib/python3.9/site-packages/zipp' Consider using the--useroption or check the permissions.

Please, any idea about this?

Unable to use my phone number user dmx1

Describe the bug A clear and concise description of what the bug is.

To Reproduce Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Expected behavior A clear and concise description of what you expected to happen.

Screenshots If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. iOS]
• Browser [e.g. chrome, safari]
• Version [e.g. 22]

Additional context Add any other context about the problem here.

Is your feature request related to a problem? Please describe. Conda take as while to solve. Mamba/libmamba is faster and is recommended by Anaconda: https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community. May you please add it to the base environment, so that we can spend more time actually using the GPU than waiting for conda to solve :) Either would be good: https://anaconda.org/conda-forge/mamba

Describe the solution you'd like Add mamba to SageMaker Studio Lab base so that you can mamba install a new custom environment quickly

Describe alternatives you've considered

• installing Mamba first, then conda installing
• pip install
• Conda install

Is your feature request related to a problem? Please describe. I'd like to be able to temporarily connect different S3 buckets to SageMaker Studio Lab (SMSL) for either extra library storage or dataset storage. I'm currently having trouble installing the latest RAPIDS version on SMSL due to running out of space, and have resorted to deleting datasets that take a long time to download. I even have to delete the zip files. The downloads, conda environment recreation, and failed installs take up precious GPU time that is already hard to come by.

Describe the solution you'd like I'd like to be able to connect an s3 bucket to SMSL with the conda envs and data ready to go.

Describe alternatives you've considered

• Deleting and redownloading the data needed.
• Removing other conda environments not currently being used and reinstalling them when they are needed again
• using Pip install packages

Additional context Some additional libraries for GPU deep learning and machine learning take up a bit of room when downloading and expanding using conda.