Hailo-8 vs. Hailo-8L: Choosing the Right Powerhouse for Edge AI

Edge AI has evolved from a futuristic concept into a core requirement for modern smart devices, industrial automation, robotics, and home surveillance systems. Deploying deep learning models directly on edge hardware—rather than relying on a distant cloud server—demands processors that balance high throughput with minimal power consumption and strict thermal constraints.

Enter Hailo, a pioneer in specialized AI acceleration. Utilizing a proprietary dataflow architecture designed to mimic the neural efficiency of the human brain, Hailo’s chips have become a favorite for hardware developers. Among their most popular offerings are the Hailo-8 and its streamlined sibling, the Hailo-8L.

If you are trying to decide which processor fits your next project—whether it’s a Raspberry Pi setup, an NVR camera array, or an industrial machine vision box—understanding how these two chips differ under the hood is critical.

1. Core Architecture and Specifications: Half the Muscle, Same Speed

At their core, both the Hailo-8 and Hailo-8L share the same foundational design principles, instruction sets, and architectural DNA. However, they target different performance tiers through a straightforward scaling approach.

| Feature | Hailo-8 | Hailo-8L |
| :— | :— | :— |
| Peak INT8 Performance | Up to 26 TOPS | Up to 13 TOPS |
| Compute Resources | Full architecture array | Exactly half of the Hailo-8 |
| Clock Speed / Fabric | Runs at standard speed | Runs at standard speed |
| Form Factors / M.2 Keys | M-Key (PCIe Gen3 x4), B+M, A+E (PCIe Gen3 x2) | B+M, A+E (PCIe Gen3 x2) |
| Target Use Case | Demanding, multi-stream computer vision | Cost-sensitive, single-stream or lighter vision |

The Hailo-8L is essentially engineered with half the compute elements of the flagship Hailo-8. Because of this, its headline performance is pegged at 13 TOPS (Tera Operations Per Second) using INT8 arithmetic, compared to the 26 TOPS capability of the full-fat Hailo-8.