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.
Specification
Contains a neural network inference accelerator capable of 13 tera-operations per second (TOPS)
Fully integrated into Raspberry Pi’s camera software stack
Thermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance
Conforms to Raspberry Pi HAT+ specification
Supplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place
Careful, careful, no return policy once ordered, Monitor is very fragile
I order 15.6 inch monitor with built in stand for my Raspberry PI. The issue with built in stand, is that it is so fragile that a slight movement in cables the monitor will move and it can topple breaking the LCD panel. The stand does not help monitor to be in one place, not suitable for regular use.
Be careful before ordering this product as as the company does not accept returns and has not return policy, be careful careful careful.
This is Delhi based company which is importing items from China and selling without any return policy.
{"id":9530678018365,"title":"Raspberry Pi AI Kit","handle":"raspberry-pi-5-copy","description":"\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch1 class=\"richTitle\" style=\"text-align: left;\"\u003eRaspberry Pi AI Kit\u003c\/h1\u003e\n\u003ch3 class=\"richDesc hilitBlock3 round1234\" style=\"text-align: left;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eDesigned For Raspberry Pi 5\u003c\/span\u003e\u003c\/h3\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--text\"\u003e\n\u003cdiv class=\"c-wysiwyg c-product-slice__content\"\u003e\n\u003cp style=\"text-align: left;\"\u003eThe 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.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eWhen 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.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--text\"\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003eSpecification\u003c\/h2\u003e\n\u003cdiv class=\"c-wysiwyg c-product-slice__content\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003eContains a neural network inference accelerator capable of 13 tera-operations per second (TOPS)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eFully integrated into Raspberry Pi’s camera software stack\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eThermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eConforms to Raspberry Pi HAT+ specification\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eSupplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--documents\"\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003eDocuments\u003c\/h2\u003e\n\u003cdiv class=\"c-wysiwyg\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/ai-kit\/raspberry-pi-ai-kit-product-brief.pdf\"\u003eRaspberry Pi AI Kit product brief\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/accessories\/ai-kit.html\"\u003eRaspberry Pi AI Kit documentation\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e \u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: left;\"\u003e\n\u003ch2 class=\"richTitle\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Raspberry-Pi-AI-Kit\/Raspberry-Pi-AI-Kit-details-size.jpg\" alt=\"Raspberry Pi AI Kit, dimensions\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!----\u003e","published_at":"2024-06-26T23:31:59+05:30","created_at":"2024-06-26T23:18:23+05:30","vendor":"ThinkRobotics","type":"Single Board Computers","tags":["1GB","2gb","4GB","5","8GB","AICORE","pi5","r pi","r pi 2GB","R Pi4","Raspberry Pi","raspberry pi 4","Raspberry pi 4 1GB","Raspberry pi 4 2GB","Raspberry pi 4 4GB","raspberry pi case","RASPI","Robot","Rpi","Rpi 4","rpi 4GB","rpi 8GB","RPI-BRDS","rpi4","RPI5","SBC1"],"price":659999,"price_min":659999,"price_max":659999,"available":true,"price_varies":false,"compare_at_price":999999,"compare_at_price_min":999999,"compare_at_price_max":999999,"compare_at_price_varies":false,"variants":[{"id":49023397069117,"title":"Default Title","option1":"Default 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class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch1 class=\"richTitle\" style=\"text-align: left;\"\u003eRaspberry Pi AI Kit\u003c\/h1\u003e\n\u003ch3 class=\"richDesc hilitBlock3 round1234\" style=\"text-align: left;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eDesigned For Raspberry Pi 5\u003c\/span\u003e\u003c\/h3\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--text\"\u003e\n\u003cdiv class=\"c-wysiwyg c-product-slice__content\"\u003e\n\u003cp style=\"text-align: left;\"\u003eThe 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.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eWhen 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.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--text\"\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003eSpecification\u003c\/h2\u003e\n\u003cdiv class=\"c-wysiwyg c-product-slice__content\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003eContains a neural network inference accelerator capable of 13 tera-operations per second (TOPS)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eFully integrated into Raspberry Pi’s camera software stack\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eThermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eConforms to Raspberry Pi HAT+ specification\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eSupplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"c-product-slice t-product-slice\"\u003e\n\u003cdiv class=\"o-container\"\u003e\n\u003cdiv class=\"c-product-slice__content c-product-slice__content--documents\"\u003e\n\u003ch2 class=\"c-type-display c-product-slice__heading\" style=\"text-align: left;\"\u003eDocuments\u003c\/h2\u003e\n\u003cdiv class=\"c-wysiwyg\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/ai-kit\/raspberry-pi-ai-kit-product-brief.pdf\"\u003eRaspberry Pi AI Kit product brief\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/accessories\/ai-kit.html\"\u003eRaspberry Pi AI Kit documentation\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e \u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: left;\"\u003e\n\u003ch2 class=\"richTitle\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Raspberry-Pi-AI-Kit\/Raspberry-Pi-AI-Kit-details-size.jpg\" alt=\"Raspberry Pi AI Kit, dimensions\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!----\u003e"}
