DL

Deep Learning Notebook

EC2 AMI

Jupyter notebook AMI with guided setup, SSO, and automatic GPU support

Launch on AWS Marketplace

What you get

  • Jupyter with current TensorFlow, PyTorch, and CUDA - start training instead of building an AMI

  • Local accounts or OIDC/LDAP control who can open a shared Jupyter instance

  • Browser setup over HTTPS; GPU on automatically. Recommended GPU instance: g6.xlarge

About this product

Jupyter notebook instance ready to train deep learning models

- Start coding in minutes

- Browser-based setup wizard on first launch over HTTPS (port 443). You choose the administrator password during setup.

- Sign in with a local account, single sign-on (OIDC: Okta, Microsoft Entra ID, Google Workspace, Auth0), or LDAP / Active Directory. SSO and LDAP only control who can open this instance. Jupyter is one shared notebook, not JupyterHub, and does not isolate users from each other.

- Optional trusted TLS certificate from Let's Encrypt, with or without a domain name

- Built-in admin console for GPU, storage, certificate and service status

- Runs on GPU automatically if available. Recommended instance: g6.xlarge (NVIDIA L4). Also g4dn.xlarge (cheaper T4), g6.2xlarge (more RAM), g6e.xlarge (L40S, more VRAM), or m7i.xlarge for CPU-only.

- Python version 3.12

- Latest Tensorflow and PyTorch versions

- Scikit Learn, Matplotlib, Numpy included as dependencies

- Nvidia CUDA 12.9 + cuDNN (only if running on GPU instance)

How it ships

Categories and keywords

Categories
ML SolutionsApplication StacksApplication Development
Keywords
jupyterdeep-learningpytorchtensorflowkerascuda