• Inference Optimization: Techniques like INT8 quantization and ONNX runtime acceleration reduce latency by 40% while maintaining high response accuracy.

• GPU Scaling via TensorRT: Ensures sub-second response times even under high engagement loads.

• Modularity & Scalability: Our architecture is designed as a collection of modular components that can be updated, replaced, or scaled independently. This approach not only supports current high engagement demands but also allows seamless integration of new modules as our technology evolves. Each microservice can be scaled based on its specific load requirements, ensuring that performance remains optimal regardless of user volume.