TUOPUONE Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5
Bottom line: The Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 is a specs-and-price decision rather than a crowd-consensus one in the single-board computers category, priced around $228.99 on Amazon as of 2026-10-07. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.
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*Price sourced from Amazon.com. Last updated 2026-10-07. Price and availability subject to change.
Pros & Cons
Pros
- ✓ Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks.
- ✓ Backed by TUOPUONE's warranty and support channels
Cons
- ✗ Check the listed dimensions, connectors and platform compatibility against your setup before ordering
- ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated
Manufacturer description
About this item Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption. Scalable, enabling simultaneous processing of 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. › See more product details
SpecPicks Verdict
SpecPicks scored Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 using a rating × review-volume × price-fit model applied to published specs and reviews across the single-board computers category. TUOPUONE's single-board computers lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for single-board computers of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.
Key Features
- Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption.
- Scalable, enabling simultaneous processing of 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.
Full Specifications
| ASIN | B0D97KVT1J |
|---|---|
| Brand | TUOPUONE |
| Platform | Linux |
| Model Name | Hailo-8 |
| Item Weight | 0.04 Kilograms |
| Chipset Type | Hailo-8 |
| Manufacturer | TUOPUONE |
| Model Number | Hailo-8 Acce A |
| Number of Ports | 1 |
| Total PCIe Ports | 1 |
| Compatible Devices | Raspberry Pi 5 |
| Compatible Processors | Raspberry Pi BCM2711 (ARM Cortex-A72) |
| RAM Memory Technology | LPDDR4 |
| Graphics Card Interface | PCI Express 4.0 |
| Main Power Connector Type | 40-pin |
| Full listing title | Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5, Based On The 26TOPS Hailo-8 AI Processor, with PCIe to M.2 Adapter Board, Supports Linux/Windows Systems (Hailo-8 Acce A) |
Ready to buy?
Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5, Based On The 26TOPS Hailo-8 AI Processor, with PCIe to M.2 Adapter Board, Supports Linux/Windows Systems (Hailo-8 Acce A) is listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-10-07. Price and availability subject to change.
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