Service Overview

Simple AI Training is a fully managed AI Training service that enables data scientists and machine learning engineers to train models at scale without the burden of infrastructure management. Through the Simple AI Training service, you can easily train models and obtain results by preparing only data and training code, without separate AI infrastructure or platforms for the environment.

Features

• Eliminate the complexity of infrastructure management: In the service background of Simple AI Training, elements required for the service are automatically provisioned, and after the service ends, resources are reclaimed, so separate infrastructure operation is not needed.
• Easy and fast model training: Instead of complex command-line interface (CLI), you can run model training tasks with just a few clicks through the web console interface. * The user only needs to specify the storage location of the training script and data, as well as the GPU instance.
• Highly Secure Data Transfer: It directly integrates with cloud data storage (Object Storage, etc.) to process large volumes of data while maintaining security without concerns of external leakage.
• Stable model training: Even if infrastructure errors occur during training, the system automatically detects and recovers from failures, providing an uninterrupted training environment.
• Efficient Cost Management: For lower‑priority training, you can use idle GPUs, or Samsung Cloud Platform automatically handles Spot interruption and resumption, enabling cost‑effective training.

Service configuration diagram

Provided features

Simple AI Training provides the following features.

• Serverless environment provision: Automate all processes from infrastructure setup, data loading, model training, to result storage, allowing you to focus solely on training.
• Distributed Training and Warm Pool Support: Automatically distribute large models or massive datasets across multiple instances, and during continuous training jobs, instantly reuse instances to reduce infrastructure provisioning time.
• Custom Container Support: You can import a user’s Docker container image for training (BYOC: Bring Your Own Container).
• Model Training Availability: Supports GPU Failover and Checkpointing, enabling smooth model training.
  • GPU Failover: During training, if a GPU error occurs, the system automatically detects and recovers from the fault, preventing interruption caused by the error.
  • Curcurrent Checkpointing: By storing intermediate training results in Object Storage, training can be resumed from the checkpoint if a failure occurs.
• Safe Data Access: Integrated with the cloud’s data storage (Object Storage), it can process data while maintaining security without worrying about external leaks.
• Providing Various Pricing Plans: By offering various pricing plans, you can reduce costs and conduct efficient training.

Provided server

Simple AI Training provides the g2 server type (H100) and the g3 server type (B300). For detailed specifications of the server type, refer to 서버 타입.

Provision status by region

The regions that provide the Simple AI Training service are as follows.

Preceding Service

This is a list of services that must be pre‑configured before creating the service. For detailed information, refer to the guide provided for each service and prepare in advance.