Version 2.0.0-alpha.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==2.0.0-alpha.2--upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Version 2.0.0-alpha.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==2.0.0-alpha.1 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Version 2.0.0-alpha.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==2.0.0-alpha.0 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Backend v1.8.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

Backend v1.8.1-rc.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==1.8.1rc0 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Backend v1.8.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

Backend v1.8.0-rc.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==1.8.0rc3 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Backend v1.8.0-rc.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==1.8.0rc2 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Backend v1.8.0-rc.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==1.8.0rc1 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.

Backend v1.8.0-rc.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

python3 -m pip install kfp-server-api==1.8.0rc0 --upgrade

Refer to:

• Upgrade Notes with notices and breaking changes
• Change Log

NOTE, kfp python SDK is NOT included and released separately.