Hailo-8 vs. Hailo-8L: Choosing the Right Edge AI Accelerator
As the landscape of edge computing shifts toward running heavy machine learning tasks locally, specialized AI accelerators have become essential. Among the top contenders are Hailo’s high-performance processors, specifically the flagship Hailo-8 and its cost-optimized sibling, the Hailo-8L.
Whether you are building a smart home security system, setting up a multi-camera NVR with Frigate, or supercharging a single-board computer like the Raspberry Pi 5, understanding the nuances between these two chips is crucial.
Core Performance: Raw Numbers
At first glance, the architecture shared by both processors makes them look like close relatives—because they are. The Hailo-8L is essentially a scaled-down version of the Hailo-8, built with half the compute elements and resources of its bigger sibling.
| Feature | Hailo-8 | Hailo-8L |
| :— | :— | :— |
| INT8 Performance | Up to 26 TOPS | Up to 13 TOPS |
| Compute Architecture | Full-scale neural core | Half-scale neural core (approx. 50% resources) |
| Form Factors | M.2 (M-key, B+M, A+E) | M.2 (B+M, A+E), Chip-only |
| PCIe Interface | Up to Gen 3 x4 (M-key) or x2 (B+M/A+E) | PCIe Gen 3 x2 |
| Typical Power Consumption| ~2.5W – 8.25W (depending on load/form factor) | ~2.5W – 6.6W |
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