The ZIA DV700 Series represents a sophisticated AI processing solution, optimized for a broad range of data types such as images and videos. This product line offers a unique combination of high inference speed and precision, effectively balancing real-time processing, safety, and privacy requirements for edge-based AI systems. Offering support for deep neural network (DNN) models, this series allows seamless inference processing, essential for applications requiring device independence and reliable AI functioning.
The core of the ZIA DV700 lies in its ability to handle inference tasks with multiple AI models simultaneously. Known for its Hardware architecture, the DV700 supports a full suite of models like MobileNet and Yolo v3, ensuring robust object detection and segmentation processes. Moreover, it provides a development environment, featuring SDKs and tools compatible with standard AI frameworks, enabling easy model integration and processing tasks.
Distinct features of the DV700 include its use of FP16 precision for floating-point computations, retaining the high accuracy rates established during model training from PC or cloud-based servers. As a result, it is an ideal choice for autonomous driving applications and robotics systems, where AI interpretation efficiency directly correlates with system safety and dependability. By facilitating seamless AI inference without retraining models, the DV700 series marks a significant leap in inference processing efficiency and versatility for varied model structures.
