> **Source:** Core Electronics is an Australian maker-electronics retailer and manufacturer based in Newcastle, NSW, run by a team of makers and educators. We design and manufacture our own product lines (PiicoDev, CE originals) and are official retailers for iconic maker and industrial brands including Raspberry Pi, Arduino, Adafruit, SparkFun and DFRobot. Orders ship Australia-wide from our Newcastle warehouse. Prices are in AUD and include GST. Pricing, stock and dispatch on this page are generated from the store's live catalog. Full machine-readable index: https://core-electronics.com.au/llms.txt

# Hailo-8 M.2 AI Accelerator Module (26 TOPS)

**Type:** Product page · **SKU:** WS-27812 · **Brand:** [Waveshare](https://core-electronics.com.au/brands/waveshare-in-australia)
**Page:** https://core-electronics.com.au/hailo-8-m2-ai-accelerator-module-26-tops.html ([markdown](https://core-electronics.com.au/hailo-8-m2-ai-accelerator-module-26-tops.html.md))

Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, Supports Linux/Windows Systems, Optional for PCIe To M.2 Adapter Board,...

## Pricing

- **Price:** $344.95 (inc GST) — $313.59 AUD, exc GST
- **Quantity discounts:** 3+ $304.18 (exc GST) · 5+ $297.91 (exc GST)

## Availability & dispatch

- Available with a lead time — expect dispatch between Sep 09 and Sep 16.

## How to buy

- **Build a cart:** compose `https://core-electronics.com.au/cart/link?items=WS-27812:1` (comma-separated SKU:qty pairs) and share the link. Opening it shows a confirmation page with live pricing and stock before anything is added to the cart.
- **Verify the cart first:** fetch `https://core-electronics.com.au/cart/link/WS-27812:1.md` for live line prices (inc & exc GST, quantity discounts applied), stock and dispatch estimates, and totals. Append `/to/{AU-postcode}` (or `/to/{country-code}:{postcode}`) before `.md` for delivery options and prices to that destination. Unknown, retired, or out-of-stock SKUs are flagged. (Query form `cart/link.md?items=...` also works but some robots parsers refuse query strings here.)
- **Checkout** is completed on-site and includes a captcha at the payment step. Share the cart link; checkout takes it from there.
- **Search the catalogue:** `https://core-electronics.com.au/search/{query}.md` (URL-encode the query; pages 2-3 at `search/{query}/{page}.md`; `search.md?q=` also works)
- **Payment methods, purchase orders, policies and contact details:** https://core-electronics.com.au/llms.txt
## Description

Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, Supports Linux/Windows Systems

*Note: Does not include PCIe adapter, [we stock several options](https://core-electronics.com.au/catalogsearch/result/?q=pi+5+pcie+m.2)*

### Features

- Hailo-8 AI M.2 module 
    - Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor
    - 2.5W typical power consumption
    - Scalable,enabling simultaneous processingof multi-streams & multi-models
    - Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
    - Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
    - Supports Linux and Windows
    - Supports the temperature range of -40°C to 85°C
    - 2240 size
 
### Hailo-8 AI M.2 Module Parameters

 | AI performance | 26 TOPS |
|---|---|
| Form Factor | M.2 Key M |
| Power supply | 3.3V ± 5% |
| Power consumption | 2.5W (Typ.) 8.65W (Max.) |
| Interface | PCIe Gen3, 4-lane |
| Certificate | CE, FCC Class A |
| Storage temperature | -40 ~ 85°C |
| Operating temperature | -40 ~ 85°C |
| Operating humidity | 5% ~ 90%RH (no frosting) |
| Dimensions | 22×80mm with breakable extensions to22×42mmand 22×60mm |

Equipped with Hailo-8 AI Accelerator to Step Up Your Edge Product Performance

### Performance parameters

 | NN Model | Input Resolution | mAP | Hailo-8L FPS(batch8) |
|---|---|---|---|
| yolov4\_tiny | yolov4\_tiny | 18.98 | 610 |
| yolov6n | yolov6n | 34.3 | 345 |
| yolov7 | yolov7 | 49.8 | 45 |
| yolox\_s\_wide | yolox\_s\_wide | 42.4 | 75 |
| yolov3 | yolov3 | 38 | 26 |
| yolov8n | yolov8n | 37.23 | 270 |
| yolov8s | yolov8s | 44.75 | 128 |
| yolov8m | yolov8m | 50.08 | 55 |

 | Type | NN Model | Input Resolution | FPS | Power(W) | FPS/W |
|---|---|---|---|---|---|
| Classification | ResNet-50 v1 | 224x224 | 1332 | 3.45 | 386 |
| MobileNet\_v2\_1.0 | 224x224 | 2444 | 2.152 | 1135 |
| EfficientNet\_M | 240x240 | 889 | 3.5 | 254 |
| Object Detection | SSD\_MobileNet\_v1 | 300x300 | 1055 | 2.2 |

### Resources

[Wiki for Hailo-8 M.2 AI Accelerator Module (26 TOPS)](https://www.waveshare.com/wiki/Hailo-8)

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/h/a/hailo-8-3_3.jpg)