Hailo-8 for Edge AI — Specs, Sizing & Deployment Fit
Last updated: August 2026
A purpose-built inference accelerator, not a computer: 26 TOPS of detection throughput at single-digit watts on an M.2 card.
Planning Takeaway
A purpose-built inference accelerator, not a computer: 26 TOPS of detection throughput at single-digit watts on an M.2 card. Add it to an existing x86 or ARM host for fanless, power-efficient detection — the host supplies CPU, memory, decode, and the deployment story.
Specifications
| Spec | Value |
|---|---|
| Compute | 26 TOPS (dataflow architecture) |
| Power | 2.5–8.25 W (typical sustained 3–4 W) |
| Est. planning capacity | ~4 concurrent 1080p detection streams (host-dependent) |
| Cooling | Passive |
| Form factor | M.2 module (host system required — cost, power, and video decode are host-side) |
| Runtimes / precisions | HailoRT / Hailo SDK · INT8 |
| Indicative price | ~$200 (accelerator only, as of mid-2026) |
Sizing Fit
Best where a capable host already exists: NVR boxes adding AI, fanless industrial PCs, and Frigate deployments that need low-latency detection without a discrete GPU.
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Decision Framework
Choose the Hailo-8 if:
- You have (or are already buying) a host system with a free M.2 slot.
- The workload is fixed-function detection/classification compiled to the Hailo toolchain.
- Power and heat dominate: 3–4 W sustained vs 10–25 W for an entry Jetson.
Choose a sibling instead if:
- Hailo-8L — a handful of cameras at typical detect rates — the ~$70 Raspberry Pi AI Kit path.
- Hailo-10H — more streams and on-module memory (~8 GB) at similar power (~$130).
- Jetson Orin Nano Super — you need a self-contained computer with flexible model support (~$399).
Frequently Asked Questions
How much does the Hailo-8 cost?
The Hailo-8 M.2 module runs around ~$200 as of mid-2026. Budget the host system separately — the accelerator provides inference only; CPU, memory, storage, and video decode come from the host.
Hailo-8 or a Jetson — which should I pick?
Hailo-8 when a host already exists and the pipeline is fixed detection compiled through the Hailo SDK: it delivers strong throughput at 3–4 W sustained. A Jetson wins when you need a self-contained node, broad model flexibility, CUDA workflows, or multi-model pipelines.
How many camera streams can a Hailo-8 handle?
EdgeAIStack’s planning model estimates ~4 concurrent 1080p detection streams, with real capacity depending heavily on the host’s decode and preprocessing. Frigate deployments commonly report 6–7 ms YOLO-class inference times.
Does the Hailo-8 need active cooling?
No — it is designed for passive operation at its 2.5–8.25 W envelope, which is a key advantage in sealed and fanless enclosures.