// CORAX ARCHIVE // METRICS

PERFORMANCE_SHOWCASE

Unit Economics: GAP Edge Inference vs. Standard Cloud-Based Robotics.

GAP Edge Inference

Hailo-8 NPU Architecture

Processing

RPi5 + Hailo-8L

Performance

35 FPS (YOLOv8m)

Power Draw

2.5 Watts

Latency

8ms

Unit Economics: Ultra-low power consumption directly translates to longer autonomous missions and significantly reduced total cost of ownership (TCO). Zero cloud dependency means zero recurring compute costs per inference.

Standard Cloud

Cloud-Based Robotics

Processing

Cloud GPU (T4)

Performance

Network Bound (20-30 FPS)

Power Draw

70W - 250W+

(Data Center GPU)

Latency

80ms - 200ms+

Unit Economics: Requires continuous high-bandwidth connectivity and incurs substantial ongoing cloud compute costs. High latency introduces safety risks in dynamic environments.

The GAP Advantage

By moving cognitive processes directly to the edge, the GAP ecosystem achieves up to 80% energy reduction compared to standard cloud offloading while maintaining robust, real-time autonomous operation.

100x
Cloud Power Draw
1x
GAP Edge Power