Bridging the Edge AI Gap: Hailo-8 vs. Hailo-8L Compared

As edge computing continues to evolve, developers and engineers are increasingly turning to specialized hardware to bring low-latency, real-time artificial intelligence to compact devices. Among the frontrunners in edge AI accelerators are Hailo’s powerful M.2 modules, famously integrated into ecosystems like the Raspberry Pi 5 and industrial automation hardware.

When evaluating Hailo’s lineup, two models frequently come up for consideration: the flagship Hailo-8 and its streamlined entry-level counterpart, the Hailo-8L. While they share the same underlying architecture and software foundation, their performance envelopes and ideal use cases differ significantly.

Under the Hood: Key Architecture Differences

At their core, both accelerators leverage Hailo’s innovative dataflow architecture, which maximizes data processing efficiency without requiring external DRAM—keeping system costs down and power consumption remarkably low.

• Hailo-8: Designed for heavy-duty edge computer vision, the standard Hailo-8 delivers up to 26 TOPS (Tera-Operations Per Second) of INT8 processing power.
• Hailo-8L: Engineered as an entry-level variant, the Hailo-8L features half the compute elements of the full Hailo-8, yielding up to 13 TOPS of performance. Apart from this reduction in compute resources, the underlying silicon architecture and operational speed remain identical.

Specification Quick Reference

| Feature | Hailo-8 | Hailo-8L |
| :— | :— | :— |
| Peak Performance (INT8) | Up to 26 TOPS | Up to 13 TOPS |
| Typical Power Consumption | ~2.5W | ~1.5W |
| Available Form Factors | M.2 (M-key, B+M, A+E keys) | M.2 (B+M, A+E keys) |
| PCIe Interface | Up to Gen3 x4 (M-key) or x2 (B+M/A+E) | Gen3 x2 (B+M, A+E) |
| External Memory | None (DRAM-less design) | None (DRAM-less design) |
| Software Suite | Hailo Dataflow Compiler & HailoRT | Hailo Dataflow Compiler & HailoRT |

Software and Compilation Nuances

Both processors run on the same comprehensive Hailo Software Suite, meaning developers enjoy the same rich model zoo, development tools, and deployment pipelines regardless of which chip they pick.