Adding v2 draft for kubeflow release 1.8

[Davidnet]

[WIP] Draft of the kubeflow blog release

[thesuperzapper]

I think we need to re-add the section about the Kubeflow Notebook images updates from https://github.com/kubeflow/kubeflow/pull/7357, with the key points being:

1. Support for ARM64 in addition to AMD64:
   • NOTE: the CUDA images are not currently built for ARM64, as I have no way to test them
     • PyTorch: I don't think that pre-compiled versions of PyTorch with CUDA on ARM are available.
     • TensorFlow: The official NVIDIA Ubuntu repos for CUDA are a bit sparse on ARM for CUDA 11.8 (which is the latest that TF supports)
2. Much cleaner build system and Makefiles:
   • Build any image locally by going to its folder and running make docker-build-dep to build with all base images that that image depends on.
3. TensorFlow 2.0:
   • We have updated to TensorFlow 2.13.0 by default.
   • We have updated to CUDA 11.8 in the TensorFlow CUDA images.
4. PyTorch 2.0:
   • We have updated to PyTorch 2.1.0 by default.
   • We have updated to CUDA 12.1 in the PyTorch CUDA images.
5. JupyterLab 4.0:
   • We have updated to JupyterLab 4.0.7 by default.
   • NOTE: we had to remove the jupyterlab-git plugin, as it does not yet support JupyterLab 4.0 (but as of today, there is an v0.50.0a0 version, so hopefully this is resolved before we cut the final release)
6. Python 3.11:
   • We have updated to Python 3.11.6 by default.

[Davidnet]

@DnPlas @kubeflow/release-team

Please take a look

[DnPlas]

/lgtm

[jbottum]

@thesuperzapper Hey Mathew - Thanks for all the suggestions to the blog post. They are very helpful. That said, I must call a point of order. We are 24 hours from the release and the suggestions above have many majors changes to content, flow and tone requiring analysis, review and approvals. My request is that in the future, edits at the very end of release cycle should be error corrections or minor incremental modifications. Thanks for understanding.

[jbottum]

thanks @Davidnet ! /lgtm

[DnPlas]

/lgtm

[DnPlas]

/assign @zijianjoy

[annajung]

Thanks @Davidnet! /lgtm

[chensun]

/approve

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