Globalized infrastructure supports high-performance AI services
JigsawStack's technical architecture with a distributed deployment scheme covering 99+ edge nodes worldwide is one of its core competencies. This architecture ensures a minimum API response speed of 200 milliseconds regardless of which region of the world the user is located. Compared to centrally deployed AI service platforms, the edge computing model decentralizes the model inference process to the server node closest to the user for execution, avoiding the latency problem caused by cross-regional network transmission.
Key benefits of the system architecture include:
- Intelligent routing: automatically assigns optimal edge nodes to users
- Load balancing: Dynamically adjusting computing resources to avoid a single point of overload
- Data localization: compliance with local data sovereignty regulations
- Disaster recovery: single point of failure does not affect the global service
In terms of actual performance metrics, the platform is able to guarantee both:
- 99.51 SLA for service availability for TP3T
- Average end-to-end latency of 180-220 milliseconds
- Tens of thousands of concurrent processing power per second
These features make it particularly suitable for developers of globalized applications and for scenarios that require real-time AI processing power.
This answer comes from the articleJigsawStack: Serving up a variety of small, specialized AI model APIsThe
