System & Device

Third application-ready building block based on the NXP® S32G399A vehicle network processor.

• Up to 2 parallel Hailo-8™ AI processors for massive processing performance up to 52 TOPS
• Full Hailo-8™ performance combined with maximum power efficiency (FPS / W ratio) compared to other solutions from competition
• Up to 382 YOLOv5m / 2458 Resnet_v1_50 / 2080 Ssd_mobilenet_v1 object detection frames (416 x 416) per second
• Comprehensive Hailo AI ecosystem incl. AI toolchain and developer tools
• Deep learning pre-trained models for various computer vision tasks to create fast prototypes on the AI platform

Second application-ready building block based on the NXP® S32G274A vehicle network processor.

• Up to 2 parallel Hailo-8™ AI processors for massive processing performance up to 52 TOPS
• Full Hailo-8™ performance combined with maximum power efficiency (FPS / W ratio) compared to other solutions from competition
• Up to 382 YOLOv5m / 2458 Resnet_v1_50 / 2080 Ssd_mobilenet_v1 object detection frames (416 x 416) per second
• Comprehensive Hailo AI ecosystem incl. AI toolchain and developer tools
• Deep learning pre-trained models for various computer vision tasks to create fast prototypes on the AI platform

First application-ready building block based on the NXP® QorIQ® Layerscape® LX2160A processor

• Up to 5 parallel Hailo-8™ AI processors for massive processing performance up to 130 TOPS
• Full Hailo-8™ performance combined with maximum power efficiency (FPS / W ratio) compared to other solutions from competition
• Up to 955 YOLOv5m / 6145 Resnet_v1_50 / 5200 Ssd_mobilenet_v1 object detection frames (416 x 416) per second
• Comprehensive Hailo AI ecosystem incl. AI toolchain and developer tools
• Deep learning pre-trained models for various computer vision tasks to create fast prototypes on the AI platform