Data residency with a full domestic stack

• Data is sensitive and compliance requirements are strict, so models cannot run in an uncontrolled public environment.
• Domestic-stack mandates require domestic chips and operating systems, and general-purpose solutions are often incomplete.
• AI operations talent is scarce, making it hard to keep models stable after launch.

1. 01

   Private deployment

   Models run in your own data center or a designated isolated environment, with training and inference data never crossing the security boundary.

2. 02

   Full domestic-stack adaptation

   Adapted for Ascend, Hygon, Cambricon and other domestic chips and operating systems, with a measured benchmark on the target environment.

3. 03

   Compliance and managed operations

   Meets industry regulatory requirements, with monitoring, alerting, version upgrades, and incident response.

Delivered: A provincial government LLM project: full domestic-stack adaptation, data never left the domain, and MLPS compliance certification achieved.