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91186527
waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI
85% of respondents would recommend this to a friend
Nº de artículo:
91186527
PYG 2214442
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What Stands Out
High Performance
Featuring 26TOPS of processing power, the Hailo-8 AI Accelerator delivers outstanding performance for AI applications, ensuring quick and efficient processing for users focused on advanced ML tasks.
Broad Compatibility
Designed to seamlessly integrate with Raspberry Pi 5 and supports both Linux and Windows systems, offering versatility and ease of use for developers and hobbyists in various environments.
Compact Design
The M.2 form factor of the Waveshare Hailo-8 module provides a sleek and space-efficient solution, making it ideal for compact projects without compromising on power and functionality.
Detalles de producto
| 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 u00d71 |
| Number of Packs | 1 |
| Number of Items | 1 |
| Unit Count | 1 Count |
| Manufacturer | Waveshare |
| Model Number | Hailo-8 |
| Mfr Part Number | Hailo-8 |
| Included Components | Hailo-8 AI M.2 Module u00d71 |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
-
AI Developers
Ideal for developers focused on AI applications, providing high processing power for deep learning tasks.
-
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.
DESCRIPCIÓN DEL PRODUCTO
waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Module Only
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Preguntas y respuestas de los clientes
-
Pregunta:
What kind of power consumption does the processor have?
Respuesta: It has a typical power consumption of 2.5W. -
Pregunta:
Can I use this processor with different AI frameworks?
Respuesta: Yes, it supports TensorFlow, TensorFlow Lite, ONNX, Keras, and PyTorch. -
Pregunta:
What operating systems are compatible with this product?
Respuesta: It supports both Linux and Windows operating systems.
waveshare Motherboards Hailo-8 Editorial Review
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Customer Reviews & Ratings
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ventajas
- High AI processing power (26TOPS)
- Compatible with Raspberry Pi 5
- Supports Linux and Windows systems
- Compact M.2 form factor
- Open-source software support
Contras
- Limited documentation availability
Platform Trust & Buyer Confidence
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Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
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“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
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“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
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Opaleye
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“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
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Adele
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“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
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PYG 2214442
Haz tu pedido ahora y recíbelo por ahí Viernes, Septiembre 25
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características y beneficios
- 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.
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