waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI
CDF 798293
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Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices.
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What Stands Out
Product Details
- ✅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
- ❤️Rich WiKi Resources❤️ We provide official Wiki resources, please contact us for more information.
| Connectivity Technology | PCIe |
| Operating System | Linux, Windows |
| Processor Brand | HAILO |
| Compatible Devices | Raspberry Pi 5 |
| RAM Memory Technology | LPDDR4 |
| Brand | waveshare |
| Model Name | Hailo-8 |
| Built-In Media | Hailo-8 AI M.2 Module ×1 |
| Model Number | Hailo-8 |
| Mfr Part Number | Hailo-8 |
| Manufacturer | Waveshare |
| Unit Count | 1.0 Count |
| Included Components | Hailo-8 AI M.2 Module ×1 |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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AI Developers
Ideal for developers focused on AI applications, providing high processing power for deep learning tasks.
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Raspberry Pi Users
Perfect for Raspberry Pi enthusiasts who want to enhance their projects with powerful AI capabilities.
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Edge Computing
Suitable for users working on edge AI applications, thanks to its efficient processing and low power consumption.
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Casual Users
Not suitable for casual users who do not require advanced AI functionalities in their projects.
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Non-Tech Savvy
May be challenging for individuals unfamiliar with programming or technical setups for AI accelerators.
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Budget-Conscious
Users looking for budget-friendly options might find this module expensive compared to simpler alternatives.
Product Description
Customer Questions & Answers
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Question:
What kind of power consumption does the processor have?
Answer: It has a typical power consumption of 2.5W. -
Question:
Can I use this processor with different AI frameworks?
Answer: Yes, it supports TensorFlow, TensorFlow Lite, ONNX, Keras, and PyTorch. -
Question:
What operating systems are compatible with this product?
Answer: It supports both Linux and Windows operating systems.
waveshare Motherboards Hailo-8 Editorial Review
Customer Reviews & Ratings
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5 Star
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4 Star
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3 Star
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1 Star
9%
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Pros
- High AI processing power (26TOPS)
- Compatible with Raspberry Pi 5
- Supports Linux and Windows systems
- Compact M.2 form factor
- Open-source software support
Cons
- Limited documentation availability
Product Price History
Important information
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CDF 798293
Order now and get it around Thursday, June 25
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Powered by cutting-edge 26 TOPS Hailo-8 AI Processor.
- Low power consumption at just 2.5W.
- Scalable solution for multi-stream and multi-model processing.
- Supports major AI frameworks including TensorFlow and PyTorch.
- Compatible with both Linux and Windows operating systems.
- Operational in extreme temperature ranges from -40°C to 85°C.






