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The system comes preloaded state-of-the-art detection and classification neural networks, delivering top performance at a fraction of the cost and power consumption of traditional GPU-based solutions. The Axelera AI Metis evaluation system features the AI Processing Unit (AIPU) with Quad AI cores leveraging Axelera's Digital-In-Memory-Computing (D-IMC) technology and 1GB LPDDR4x memory. It connects via PCIe 3.0 (x4) in a full-height, half-length single-slot configuration.

The Voyager SDK enhances the system, providing an end-to-end AI development environment compatible with major ML frameworks like PyTorch, ONNX, and TensorFlow (via ONNX), and supports a wide range of neural networks, including YOLOv5 variants, YOLOv7, Resnet 50, MobileNetV2, and SSD-MobileNetV2.

This integration facilitates seamless application logic and model development, streamlined by Axelera's Inference API and equipped with a suite of YAML reference pipelines for popular models, ensuring a comprehensive, user-friendly evaluation experience.