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Raspberry Pi AI Kit [Discontinued]

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Raspberry Pi AI Kit [Discontinued]

The Raspberry Pi AI Kit bundles an M.2-format Hailo 8L AI accelerator with the Raspberry Pi M.2 HAT+ to provide an accessible, cost-effective, and power-efficient way to integrate high-performance AI with the Raspberry Pi 5. Explore applications including process control, security, home automation and robotics.

Check out Raspberry Pi's news article to learn more about this bundle!

The AI module is a 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip. The module uses the M.2 2242 form factor, and comes pre-installed in the M.2 HAT+, to which it connects through an M key edge connector. The M.2 HAT+ communicates between the AI module’s M.2 interface and the Raspberry Pi 5’s PCIe 2.0 interface.

When the host Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects the Hailo module and makes the NPU available for AI computing tasks. The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI module, automatically using the NPU to run compatible post-processing tasks.

The bundle is supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Raspberry Pi Active Cooler (sold separately) in place. A thermal pad is pre-fitted between the module and the M.2 HAT+.

This bundle also fits perfectly into our Layer Case for Raspberry Pi M.2 HAT+ & Active Cooler.

Notes

  • Unfortunately at this time we are unable to offer the Hailo 8L accelerator on its own (without the M.2 HAT+) as a standalone product.
  • Compatible with Raspberry Pi 5 only
  • Raspberry Pi 5 not included

Features

  • Compatible with Raspberry Pi 5 only
  • Based on the Hailo 8L accelerator with up to 13 TOPS (Trillions of Operations Per Second) inferencing performance
  • Conforms to the HAT+ specification
  • Supplied pre-assembled on a Raspberry Pi M.2 HAT+ - ready out of the box to use with a Raspberry Pi 5 (sold separately)
  • Thermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance
  • Fully integrated into Raspberry Pi’s camera software stack
  • Supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Active Cooler in place
  • Operating temperature: 0°C to 50°C (ambient)

Resources

Demo Videos

A selection of videos showing some demos running through the rpicam-apps suite:

Package Contents

  • 1x Raspberry Pi M.2 HAT+
  • 1x M.2 Hailo 8L Accelerator module (B+M format)
    • (thermal pad pre-fitted between HAT and module)
  • 1x PCI-e ribbon cable
  • 1x GPIO Stacking Header
  • 4x Spacers
  • 8x Screws

Raspberry Pi 5 not included

The Raspberry Pi AI Kit bundles an M.2-format Hailo 8L AI accelerator with the Raspberry Pi M.2 HAT+ to provide an accessible, cost-effective, and power-efficient way to integrate high-performance AI with the Raspberry Pi 5. Explore applications including process control, security, home automation and robotics.

Check out Raspberry Pi's news article to learn more about this bundle!

The AI module is a 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip. The module uses the M.2 2242 form factor, and comes pre-installed in the M.2 HAT+, to which it connects through an M key edge connector. The M.2 HAT+ communicates between the AI module’s M.2 interface and the Raspberry Pi 5’s PCIe 2.0 interface.

When the host Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects the Hailo module and makes the NPU available for AI computing tasks. The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI module, automatically using the NPU to run compatible post-processing tasks.

The bundle is supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Raspberry Pi Active Cooler (sold separately) in place. A thermal pad is pre-fitted between the module and the M.2 HAT+.

This bundle also fits perfectly into our Layer Case for Raspberry Pi M.2 HAT+ & Active Cooler.

Notes

  • Unfortunately at this time we are unable to offer the Hailo 8L accelerator on its own (without the M.2 HAT+) as a standalone product.
  • Compatible with Raspberry Pi 5 only
  • Raspberry Pi 5 not included

Features

  • Compatible with Raspberry Pi 5 only
  • Based on the Hailo 8L accelerator with up to 13 TOPS (Trillions of Operations Per Second) inferencing performance
  • Conforms to the HAT+ specification
  • Supplied pre-assembled on a Raspberry Pi M.2 HAT+ - ready out of the box to use with a Raspberry Pi 5 (sold separately)
  • Thermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance
  • Fully integrated into Raspberry Pi’s camera software stack
  • Supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Active Cooler in place
  • Operating temperature: 0°C to 50°C (ambient)

Resources

Demo Videos

A selection of videos showing some demos running through the rpicam-apps suite:

Package Contents

  • 1x Raspberry Pi M.2 HAT+
  • 1x M.2 Hailo 8L Accelerator module (B+M format)
    • (thermal pad pre-fitted between HAT and module)
  • 1x PCI-e ribbon cable
  • 1x GPIO Stacking Header
  • 4x Spacers
  • 8x Screws

Raspberry Pi 5 not included

$23.00

Original: $65.70

-65%
Raspberry Pi AI Kit [Discontinued]

$65.70

$23.00

Description

The Raspberry Pi AI Kit bundles an M.2-format Hailo 8L AI accelerator with the Raspberry Pi M.2 HAT+ to provide an accessible, cost-effective, and power-efficient way to integrate high-performance AI with the Raspberry Pi 5. Explore applications including process control, security, home automation and robotics.

Check out Raspberry Pi's news article to learn more about this bundle!

The AI module is a 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip. The module uses the M.2 2242 form factor, and comes pre-installed in the M.2 HAT+, to which it connects through an M key edge connector. The M.2 HAT+ communicates between the AI module’s M.2 interface and the Raspberry Pi 5’s PCIe 2.0 interface.

When the host Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects the Hailo module and makes the NPU available for AI computing tasks. The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI module, automatically using the NPU to run compatible post-processing tasks.

The bundle is supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Raspberry Pi Active Cooler (sold separately) in place. A thermal pad is pre-fitted between the module and the M.2 HAT+.

This bundle also fits perfectly into our Layer Case for Raspberry Pi M.2 HAT+ & Active Cooler.

Notes

  • Unfortunately at this time we are unable to offer the Hailo 8L accelerator on its own (without the M.2 HAT+) as a standalone product.
  • Compatible with Raspberry Pi 5 only
  • Raspberry Pi 5 not included

Features

  • Compatible with Raspberry Pi 5 only
  • Based on the Hailo 8L accelerator with up to 13 TOPS (Trillions of Operations Per Second) inferencing performance
  • Conforms to the HAT+ specification
  • Supplied pre-assembled on a Raspberry Pi M.2 HAT+ - ready out of the box to use with a Raspberry Pi 5 (sold separately)
  • Thermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance
  • Fully integrated into Raspberry Pi’s camera software stack
  • Supplied with a 16mm stacking header and spacers/screws to enable the M.2 HAT+ to be fitted to a Raspberry Pi 5 with the Active Cooler in place
  • Operating temperature: 0°C to 50°C (ambient)

Resources

Demo Videos

A selection of videos showing some demos running through the rpicam-apps suite:

Package Contents

  • 1x Raspberry Pi M.2 HAT+
  • 1x M.2 Hailo 8L Accelerator module (B+M format)
    • (thermal pad pre-fitted between HAT and module)
  • 1x PCI-e ribbon cable
  • 1x GPIO Stacking Header
  • 4x Spacers
  • 8x Screws

Raspberry Pi 5 not included

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