Deep Learning Environments: M105 Release

[Ari Bansal]

Hello everyone,

We are pleased to announce that M105 is released on Deep Learning VMs, Deep Learning Containers, and User-managed Notebooks.

DLVM:

• The following Deep Learning VM images are now available with Python 3.10 on Debian 11:
  • TensorFlow 2.11 CPU
  • TensorFlow 2.11 GPU (Cuda 11.3)
  • PyTorch 1.13 (Cuda 11.3)
  • Base CPU
  • Base GPU (Cuda 11.3)
• The following Deep Learning VM images are now available with Python 3.9 on Debian 11:
  • TensorFlow 2.6 CPU
  • TensorFlow 2.6 GPU (Cuda 11.3)
• Jupyter-related libraries have been moved to a different Conda environment, separate from the one containing machine learning frameworks and base software libraries.
• Miscellaneous bug fixes and improvements.

Deep Learning Containers:

• The following Deep Learning Containers images are now available with Python 3.10:
  • TensorFlow 2.11 CPU
  • TensorFlow 2.11 GPU (Cuda 11.3)
  • PyTorch 1.13 (Cuda 11.3)
  • Base CPU
  • Base GPU (Cuda 11.3)
• The following Deep Learning Containers are now available with Python 3.9:
  • TensorFlow 2.6 CPU
  • TensorFlow 2.6 GPU (Cuda 11.3)
• Miscellaneous bug fixes and improvements.

User-managed Notebooks:

• The following user-managed notebooks images are now available with Python 3.10 on Debian 11:
  • TensorFlow 2.11 CPU
  • TensorFlow 2.11 GPU (Cuda 11.3)
  • PyTorch 1.13 (Cuda 11.3)
  • Base CPU
  • Base GPU (Cuda 11.3)
• The following user-managed notebooks images are now available with Python 3.9 on Debian 11:
  • TensorFlow 2.6 CPU
  • TensorFlow 2.6 GPU (Cuda 11.3)
• Jupyter-related libraries have been moved to a different Conda environment, separate from the one containing machine learning frameworks and base software libraries.

The public release notes can be found here:
Deep Learning VMs
Deep Learning Containers