ack-ai-dev-console is a development console component provided by the cloud-native AI suite. Algorithm engineers and data scientists can use the simple web interface provided by ack-ai-dev-console to quickly submit training jobs and manage their lifecycle. This topic introduces ack-ai-dev-console and describes the usage notes and release notes for ack-ai-dev-console.
Introduction
After you configure ack-ai-dev-console, you can use the AI Developer Console provided by the cloud-native AI suite. The console provides a variety of features such as cluster overview, job submission, job list, data configuration, notebooks, model management, evaluation jobs, and pipelines. With the authorization of the administrator in the console, algorithm engineers and data scientists can create notebooks, submit training jobs, submit evaluation jobs, deploy inference services, and build and use pipelines in the console. For more information, see Cloud-native AI component set user guide.
You can also install Lightweight Machine Learning Platform for AI, an all-in-one AI platform for model development, training, and deployment.
Usage notes
Only Container Service for Kubernetes (ACK) Pro clusters whose Kubernetes versions are 1.18 and later support ack-ai-dev-console. For more information about how to install and use ack-ai-dev-console, see Development and configuration.
Description
August 2023
Version number | Description | Release date | Impact |
1.0.21 | The commit-agent component and the ack-commit-ctl command-line tool are introduced to save notebooks on Elastic Compute Service (ECS) instances as images. These images can be used to restore the notebooks on specified ECS instances. | 2023-08-30 | No impact on workloads |
June 2023
Version | Description | Release date | Impact |
1.0.3 |
| 2023-06-07 | No impact on workloads |