Machine Learning > AI EasyMaker > Release Notes

April 23, 2024

Feature Updates

• Added the batch inference feature
  • Provides an environment to make batch inferences from an AI EasyMaker model and view inference results in statistics.
  • For more information, see the Batch Inference Guide article.
• Added the resource search feature
  • You can search for resources from the console screen, and navigate to other resource screens via links.
• Added the feature to change NAS of notebooks
  • You can change the NHN Cloud NAS connection settings for running notebooks.
• Scikit-learn serving support
  • Enabled Scikit-learn models to be registered in AI EasyMaker to serve as endpoints.
• Enable notebook shared memory
  • Enabled more than 64 MB of shared memory to be available.
  • The size depends on the instance type you selected when creating the notebook.
• Removed the save_steps hyperparameter from the NHN Cloud-provided algorithms
  • Removed the hyperparameter save_steps related to saving checkpoints.
  • The algorithm automatically calculates the appropriate number of save_steps and saves up to three.

December 19, 2023

Feature Updates

• Notebooks and training with private images

  • User-personalized container images can be used to power notebooks, training, and hyperparameter tuning.
  • By registering private image and registry account, you can easily select private images to create resources.

• Dashboard

  • See your overall resource utilization, top 3 endpoint service monitoring, and top 3 CPU/GPU utilization on one page.

• Endpoint > Autoscaler

  • You can dynamically manage the number of nodes by setting policies to scale up/scale down endpoint nodes.

September 26, 2023

Feature Updates

• Ubuntu 22.04 version provided

  • The new Ubuntu 22.04 version is provided. Ubuntu 18.04 version is no longer available, and existing customers can use the service as it is now.

• Monitoring feature provided

  • You can check system monitoring metrics for notebook, training, and endpoint.
  • You can view API call metrics for each API resource path in the endpoint.

• Basic algorithm for hyperparameter tuning

  • Through hyperparameter tuning, you can optimize the hyperparameters of the basic algorithm provided by AI EasyMaker.

• Endpoint > Serving multiple models

  • You can serve multiple training models on one endpoint stage.

• Parallel training for hyperparameter tuning

  • You can optimize the performance of hyperparameter tuning by adjusting the number of parallel trainings.

June 27, 2023

Feature Updates

• Added hyperparameter tuning feature
  • Hyperparameter tuning is the feature to automate repetitive experiments to find optimized hyperparameters to improve the predictive accuracy and performance of machine learning models.
  • For more information, please see the Hyperparameter Tuning Guide.
• Added 3 basic algorithms provided by NHN Cloud AI EasyMaker
  • For more information, please see the guide document of each algorithm.
  • Image Classification Guide
  • Object Detection Guide
  • Semantic Segmentation Guide

December 27, 2022

Release of a New Service

• AI EasyMaker is an AI platform for environment, training and advancement, and endpoint services for machine learning development.