The ZIA DV700 Series is engineered for high-precision AI inference operations across diverse applications, including autonomous navigation and robotic systems. It supports a wide variety of deep neural network models such as MobileNet and Yolo v3, facilitating robust object detection and semantic segmentation. The DV700 Series uniquely combines advanced mathematics with significant floating-point accuracy, allowing it to perform highly reliable computations that can replicate AI models trained on servers without re-learning. Its architecture is optimized for inference, maintaining high accuracy levels crucial for mission-critical AI systems, making it ideal for industries demanding stringent reliability.
