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SKU:MLE05969
Raspberry Pi AI Kit (M.2 HAT+ with a Hailo AI Acceleration Module)
₱8,499.00
₱8,499.00
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0% Interest Installment Plans
Total Price: ₱8499.00
Term | Monthly Payment |
---|---|
3 Months | ₱2833.00 |
6 Months | ₱1416.50 |
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Product Description
Description:
The Raspberry Pi AI Kit bundles the Raspberry Pi M.2 HAT+ with a Hailo AI acceleration module. It's designed for Raspberry Pi 5. However, you can also elevate your Raspberry Pi CM4 edge IoT devices with M.2 slots, like reComputer R1000, to the AI level through additional AI capabilities and SSD storage.
The Raspberry Pi M.2 HAT+ enables you to connect M.2 peripherals such as NVMe drives and AI accelerators to Raspberry Pi 5’s PCIe 2.0 interface, supporting fast (up to 500 MB/s) data transfer to and from NVMe drives and other PCIe accessories. Raspberry Pi 5’s single-lane PCI Express 2.0 interface is exposed on a 16-pin, 0.5 mm pitch FPC connector; the M.2 HAT+ M Key is a mechanical adapter board that converts between this connector and a subset of the M.2 standard. It supports devices that have the M.2 M key edge connector, in the 2230 and 2242 form factors. It is capable of supplying up to 3A to connected M.2 devices. The Raspberry Pi M.2 HAT+ conforms to the Raspberry Pi HAT+ specification and is autodetected by the latest Raspberry Pi software/firmware. It is supplied with a 16mm stacking header and threaded spacers, so it can be fitted to a Raspberry Pi 5 with the Raspberry Pi Active Cooler in place.
The Hailo-8L Entry-Level M.2 Modules are AI accelerator modules compatible with M.2 form factor Key B+M and Key A+E . The AI module is based on the 13 tera-operations per second (TOPS) Hailo-8L AI processor with high power efficiency and cost efficiency. The M.2 AI accelerator features a full PCIe Gen-3.0 2-lane interface, delivering unprecedented AI performance for edge devices requiring limited AI capacity or lower performance. The M.2 modules can be plugged into an existing edge device with M.2 socket to execute in real-time and with low power deep neural network inferencing for a broad range of market segments. Leveraging Hailo’s field-proven and comprehensive Dataflow Compiler and its support for standard AI frameworks, you can easily port your Neural Network models and seamlessly scale to higher capacity Hailo-8 products for future upgrades.
Features:
13 Tera-Operations Per Second: Contains a neural network inference accelerator capable of 13 tera-operations per second (TOPS).
Fully Adapted Camera: Fully integrated into Raspberry Pi’s camera software stack.
Good Heat Dissipation Effect: The Thermal pad pre-fitted between the module and HAT+ spreads heat across components, improving performance.
Reserved Interface: It is supplied with a 16mm stacking header, spacers, and screws to enable fitting on a Raspberry Pi 5, CM4-powered IoT gateway, and controller.
Specifications:
Interface: 16mm stacking header
Operating Temperature: 0℃ to 50℃
Supported Host Architectures: ARM-based
Supported OS: Linux
Supported AI Frameworks: TensorFlow, TensorFlow Lite, Keras, PyTorch & ONNX
Hardware Overview:
Hailo AI Module

M.2 HAT+

Application:
Documents:
Part List:
1x Raspberry Pi M.2 HAT+
1x Hailo AI Module


