The ONNC Calibrator is crafted to optimize AI System-on-Chips by employing post-training quantization (PTQ) techniques to maintain high precision, especially in architectures using fixed-point formats like INT8. By leveraging architecture-aware quantization, it ensures chips retain 99.99% accuracy, offering unparalleled precision control across diverse hardware configurations. This calibrator supports configurable bit-width architectures, allowing the balance of precision and performance to be tailored for various applications. Capable of working with different AI frameworks such as ONNX and PyTorch, the calibrator aligns seamlessly with standard PTQ workflows without needing complex retraining. Its internal AI engine autonomously determines optimal scaling factors, making it an indispensable tool in maintaining model accuracy while reducing computational demand.
