Public Cloud service that can work flexibly and safe with high efficiency, low latency, including all data storage in the country
- Containerized Solution
- Container solutions for Multi-Cloud with various services, such as Cloud Container Engine (CCE), Cloud Container Instance (CCI), Cloud Container Platform (MCP), etc. – The solution supports Kubernetes applications and tools while supporting applications on different cloud systems.
- Artificial Intelligence
- AI services that cover both core AI and related data analytics, such as AI Data Inference, AI Data Training, Image Processing, Knowledge Computing, and Autonomous Driving Training, with a strong point of AI-Enabled Infrastructure
- 5G and Distributed Cloud
- AI Computing, Internet of Things (IoT), Data Analytics, etc. at Edge Cloud, without having to send data back to the main Cloud system – This can reduce latency, a main obstacle for applications that require real-time processing or user interaction
- Reduce costs for management, installation, maintenance or replacement of equipment Infrastructure.
- Increase and decrease cloud usage as needed by simply using the command on the usage channel.
- Reduce system crashes because there is a standard certified by the service provider, such as SLA, ISO/IEC.
- Easily used with basic training and IT staff to help.
- Able to use online anytime, anywhere.
- Manually manage all resources through the platform.
- Manage Kubernetes Clusters across regions or multiple cloud providers at the same time.