ack-ai-pipeline is a workflow orchestration engine in the cloud-native AI suite. It is built on Kubeflow Pipelines and optimized for stability, security, and operational simplicity, so you can build your own MLOps platform on ACK without maintaining the upstream open source stack yourself.
Capabilities
Job orchestration — Run distributed Argo Workflows on Kubernetes clusters as directed-acyclic graph (DAG) workflows. Define, manage, and reuse DAG workflows on demand.
Experiment management — Compare workflow runs across different experiment parameters, such as model hyperparameters. Use the comparison results to fine-tune jobs in a workflow.
Model tracking — Track the input and output of each step in a workflow to troubleshoot and fine-tune models more effectively.
Supported clusters
ack-ai-pipeline runs on ACK Pro clusters and ACK Edge Pro clusters. The minimum supported Kubernetes version is 1.18.
| Cluster type | Kubernetes version |
|---|---|
| ACK Pro cluster | 1.18 and later |
| ACK Edge Pro cluster | 1.18 and later |
What's next
Release notes
May 2023
| Version | Description | Release date | Impact |
|---|---|---|---|
| 1.0.3 | Security is enhanced. | 2023-05-11 | No impact on workloads |
April 2023
| Version | Description | Release date | Impact |
|---|---|---|---|
| 1.0.2 | Security is enhanced. | 2023-04-17 | No impact on workloads |
March 2023
| Version | Description | Release date | Impact |
|---|---|---|---|
| 1.0.1 | The OSS bucket name conflict issue is fixed. | 2023-03-14 | No impact on workloads |
July 2022
| Version | Description | Release date | Impact |
|---|---|---|---|
| 1.0.0 | This is the first release. | 2022-07-04 | No impact on workloads |