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Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
Raspberry Pi SC1468 26 TOPS AI Hat+
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Raspberry Pi SC1468 26 TOPS AI Hat+

Rasberry Pi SC1430 SC1785 AI Hat+ 13 to 26 TOPS - Raspberry Pi SC1791, Raspberry Pi SC1468 SC1791 AI Hat+ 26 TOPS - Designed to conform to the HAT+ specification, the AI HAT+ automatically switches to PCIe Gen 3.0 mode to maximise the full 26 tera-operations per second (TOPS) of compute power available in the Hailo-8 accelerator.Unlike the AI Kit, which utilises an M.2 connector, the Hailo accelerator chip is directly integrated onto the main PCB. This change not only simplifies setup but also offers improved thermal dissipation, allowing the AI HAT+ to handle demanding AI workloads more efficiently.Both versions of the AI HAT+ are fully backward compatible with the AI Kit. Hailo accelerator integration in the camera software stack works in exactly the same way with the AI HAT+. Any neural network model compiled for the Hailo-8L will run smoothly on the Hailo-8; while models specifically built for the Hailo-8 may not work on the Hailo-8L, alternative versions with lower performance are generally available, ensuring flexibility across different use cases. Raspberry Pi SC1468 SC1791 26 TOPS AI Hat+

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Raspberry Pi SC1468 26 TOPS AI Hat+

Rasberry Pi SC1430 SC1785 AI Hat+ 13 to 26 TOPS - Raspberry Pi SC1791, Raspberry Pi SC1468 SC1791 AI Hat+ 26 TOPS - Designed to conform to the HAT+ specification, the AI HAT+ automatically switches to PCIe Gen 3.0 mode to maximise the full 26 tera-operations per second (TOPS) of compute power available in the Hailo-8 accelerator.Unlike the AI Kit, which utilises an M.2 connector, the Hailo accelerator chip is directly integrated onto the main PCB. This change not only simplifies setup but also offers improved thermal dissipation, allowing the AI HAT+ to handle demanding AI workloads more efficiently.Both versions of the AI HAT+ are fully backward compatible with the AI Kit. Hailo accelerator integration in the camera software stack works in exactly the same way with the AI HAT+. Any neural network model compiled for the Hailo-8L will run smoothly on the Hailo-8; while models specifically built for the Hailo-8 may not work on the Hailo-8L, alternative versions with lower performance are generally available, ensuring flexibility across different use cases. Raspberry Pi SC1468 SC1791 26 TOPS AI Hat+

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ÂŁ97.67

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ÂŁ113.52
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Rapid Online - Rapid Electronics Ltd.

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Raspberry Pi SC1468 SC1791 26 TOPS AI Hat+

Rapid Online - Rapid Electronics Ltd.

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ÂŁ97.67

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Raspberry Pi Sc1468 Sc1791 26 Tops Ai Hat+ 5056561804156

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0.45% ( -ÂŁ0.49)

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ÂŁ107.96

Raspberry Pi SC1468 26 TOPS AI Hat+

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ÂŁ113.52

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Product Description

Rasberry Pi SC1430 SC1785 AI Hat+ 13 to 26 TOPS - Raspberry Pi SC1791, Raspberry Pi SC1468 SC1791 AI Hat+ 26 TOPS - Designed to conform to the HAT+ specification, the AI HAT+ automatically switches to PCIe Gen 3.0 mode to maximise the full 26 tera-operations per second (TOPS) of compute power available in the Hailo-8 accelerator.Unlike the AI Kit, which utilises an M.2 connector, the Hailo accelerator chip is directly integrated onto the main PCB. This change not only simplifies setup but also offers improved thermal dissipation, allowing the AI HAT+ to handle demanding AI workloads more efficiently.Both versions of the AI HAT+ are fully backward compatible with the AI Kit. Hailo accelerator integration in the camera software stack works in exactly the same way with the AI HAT+. Any neural network model compiled for the Hailo-8L will run smoothly on the Hailo-8; while models specifically built for the Hailo-8 may not work on the Hailo-8L, alternative versions with lower performance are generally available, ensuring flexibility across different use cases. Raspberry Pi SC1468 SC1791 26 TOPS AI Hat+

Product Specifications

General

Material

mode

Size

26

Brand

Raspberry Pi

type

hat for raspberry pi

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