// Platform

Hailo-8L for Edge AI — Specs, Sizing & Deployment Fit

Last updated: August 2026

The budget entry to dedicated inference: 13 TOPS at about a watt and a half, sold most visibly as the ~$70 Raspberry Pi AI Kit.

13 TOPS
1–1.5 W
~2 streams (est.)
~$70 (Pi AI Kit)

Planning Takeaway

The budget entry to dedicated inference: 13 TOPS at about a watt and a half, sold most visibly as the ~$70 Raspberry Pi AI Kit. Plenty for a handful of cameras at typical detect rates; step up to the Hailo-8 or 10H when stream count or model size grows.

Specifications

SpecValue
Compute13 TOPS (dataflow architecture)
Power1–1.5 W
Est. planning capacity~2 concurrent 1080p detection streams (host-dependent)
CoolingPassive
Form factorM.2 module (host required; commonly paired with Raspberry Pi 5)
Runtimes / precisionsHailoRT / Hailo SDK · INT8
Indicative price~$70 (as the Raspberry Pi AI Kit, as of mid-2026)

Sizing Fit

The cleanest first-party AI path on a Raspberry Pi 5, and a fit for one-to-three camera Frigate or doorbell-class detection at minimal power.

Decision Framework

Choose the Hailo-8L if:

  • You run 1–3 cameras on a Pi 5 or small host and want dedicated detection for ~$70.
  • Sub-2 W power budgets matter (PoE-splitter or battery-adjacent designs).
  • Frigate is the application — the 0.17 image bundles the Hailo driver and picks a default model.

Choose a sibling instead if:

  • Hailo-8 — double the TOPS and 4-stream headroom for ~$200.
  • Google Coral Edge TPU — legacy TFLite pipelines only — note Coral’s ecosystem is winding down.
  • Jetson Orin Nano Super — you outgrow fixed-function detection and need a full computer (~$399).

Frequently Asked Questions

How much does the Hailo-8L cost?

About ~$70 as the Raspberry Pi AI Kit (as of mid-2026), which is the most common way to buy it. That price is for the accelerator path only — the Pi or other host is separate.

How many cameras can a Hailo-8L handle in Frigate?

Community deployments comfortably cover several cameras at typical detect rates, with YOLO-class inference around 10–13 ms. EdgeAIStack’s conservative planning figure is ~2 concurrent full-rate 1080p detection streams; light detect-rate duty cycles stretch further.

Hailo-8L vs Hailo-8 — is the upgrade worth ~$130 more?

If you are near the 8L’s limits (more cameras, heavier models, tighter latency), yes — the Hailo-8 roughly halves inference time and doubles compute. For 1–3 cameras at standard detect rates the 8L is enough.