Kubeflow
- Kubeflow Charmers | bundle
- Cloud
Channel | Revision | Published |
---|---|---|
latest/candidate | 294 | 24 Jan 2022 |
latest/beta | 430 | 30 Aug 2024 |
latest/edge | 423 | 26 Jul 2024 |
1.9/stable | 432 | 03 Dec 2024 |
1.9/beta | 420 | 19 Jul 2024 |
1.9/edge | 431 | 03 Dec 2024 |
1.8/stable | 414 | 22 Nov 2023 |
1.8/beta | 411 | 22 Nov 2023 |
1.8/edge | 413 | 22 Nov 2023 |
1.7/stable | 409 | 27 Oct 2023 |
1.7/beta | 408 | 27 Oct 2023 |
1.7/edge | 407 | 27 Oct 2023 |
juju deploy kubeflow --channel latest/edge
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
This guide describes how you can create Nvidia NGC Jupyter Notebooks with Charmed Kubeflow (CKF).
Deploy the dependencies
Deploy the charms required for notebook integration with NGC images:
juju deploy ngc-integrator --channel=latest/edge --trust
juju deploy resource-dispatcher --channel=latest/edge --trust
Add the required relation between the deployed charms:
juju relate ngc-integrator:pod-defaults resource-dispatcher:pod-defaults
Wait until the charms are in active
status, which can be monitored with:
juju status --watch 5s
Create a notebook with NGC
From the Notebooks User Interface (UI):
- Select
New Notebook
and click onCustom Notebook
. - Select
Custom Image
and type in the full name of the NGC image:
- Scroll down to the bottom of the page and click on
Advanced Options
. - From the
Configurations
dropdown, selectEnable Nvidia NGC JupyterLab Notebook
:
Finally, launch the notebook and connect to it.