Coze Studio's model service management system enables unified scheduling of multi-cloud AI capabilities, with key technical features including:
- Heterogeneous computing support: simultaneous scheduling of GPU/CPU/TPU resources
- Intelligent routing: automatically selects the optimal service node based on QPS and latency
- Fuse protection: abnormal flow automatically switches to the backup model
The platform has been verified to support 9 types of mainstream model services such as Volcano Engine, OpenAI, Anthropic, etc., with minute-level access through standardized YAML configuration files. A multinational game company uses this feature to deploy different compliance models in three major regions, Europe, America and Asia, to realize intelligent distribution of global player requests.
The model management interface provides a complete monitoring dashboard, including 20+ key indicators such as Token consumption and response latency. The enterprise version also supports model A/B testing and gray scale release to meet the stringent requirements of the production environment.
This answer comes from the articleCoze Studio (Coze Open Source Edition): an open source low-code platform for rapidly building AI intelligencesThe
