{"title":"Hat","description":null,"products":[{"product_id":"raspberry-pi-m2-hat-compact","title":"Raspberry Pi M.2 HAT+ Compact","description":"\u003cp\u003eL'interfaccia PCI Express 2.0 a linea singola di Raspberry Pi 5 è esposta su un connettore FPC a 16 pin con passo da 0,5 mm; l'M.2 HAT+ M Key, nelle sue varianti standard e compatta, è una scheda adattatrice meccanica che funge da interfaccia tra questo connettore e un sottoinsieme dello standard M.2. Supporta i dispositivi dotati di connettore edge M.2 M key, nei fattori di forma 2230 (varianti standard e compatta) e 2242 (solo variante standard). È in grado di fornire fino a 3A ai dispositivi M.2 collegati.\u003c\/p\u003e\u003cp\u003eIl Raspberry Pi M.2 HAT+ è conforme alle specifiche Raspberry Pi HAT+ e viene rilevato automaticamente dal software\/firmware più recente di Raspberry Pi. Viene fornito con un header di impilamento da 16 mm e distanziatori filettati, in modo da poter essere montato su un Raspberry Pi 5 con il Raspberry Pi Active Cooler già installato.\u003c\/p\u003e\u003cp\u003eIl Raspberry Pi M.2 HAT+ Compact è progettato per l'uso con il case Raspberry Pi per Raspberry Pi 5. Il fattore di forma compatto consente di collegare periferiche M.2 M key con fattore di forma 2230 al Raspberry Pi 5, lasciando spazio alla ventola di raffreddamento integrata nel case.\u003c\/p\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003cp\u003eSupporta l'interfaccia PCIe 2.0 a linea singola (velocità di trasferimento di picco di 500 MB\/s)\u003c\/p\u003e\u003cp\u003eSupporta i dispositivi che utilizzano il connettore edge M.2 M key\u003c\/p\u003e\u003cp\u003eSupporta i fattori di forma:\u003c\/p\u003e\u003cul\u003e\n\n\u003cli\u003eM.2 HAT+ Standard: 2230, 2242\u003c\/li\u003e\n\n\u003cli\u003eM.2 HAT+ Compact: solo 2230\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\u003cp\u003eIn grado di fornire fino a 3A ai dispositivi M.2 collegati\u003c\/p\u003e\u003cp\u003eInclude LED di alimentazione e attività\u003c\/p\u003e\u003cp\u003eConforme alle specifiche Raspberry Pi HAT+\u003c\/p\u003e\u003cp\u003eFornito con cavo a nastro, header di impilamento da 16 mm (\u003cb\u003esolo\u003c\/b\u003e M.2 HAT+), distanziatori filettati e viti, e vite zigrinata a doppia flangia per fissare e supportare la periferica M.2\u003c\/p\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637241536778,"sku":"RP5-M2-COMPACT","price":16.29,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/59576ff4c4ad671c33b38b91f3a86708.webp?v=1788765774"},{"product_id":"raspberry-pi-ai-hat-2","title":"Raspberry Pi AI HAT+ 2","description":"\u003cp\u003e\u003cb\u003eA HAT that speaks your language\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFeaturing the Hailo-10H AI accelerator and 8GB of on‑board RAM, the Raspberry Pi AI HAT+ 2 brings generative AI capability to Raspberry Pi 5.\u003c\/p\u003e\u003ch2\u003eOff‑board tasks with on‑board RAM\u003c\/h2\u003e\u003cp\u003eWith 8GB of dedicated on‑board RAM, the AI HAT+ 2 is ideal for running large language models (LLMs) and vision-language models (VLMs) locally and securely, leaving the host Raspberry Pi 5 free to handle other tasks and ensuring your AI models run smoothly.\u003c\/p\u003e\u003ch2\u003eA model for privacy and security\u003c\/h2\u003e\u003cp\u003eDelivering reliable, low-latency AI processing at the edge and without a network connection, the AI HAT+ 2 simplifies data security, minimises infrastructure requirements, and reduces cloud API costs.\u003c\/p\u003e\u003ch2\u003eReady-made models\u003c\/h2\u003e\u003cp\u003eA set of sample models is provided by Hailo; users can also train custom vision models or fine-tune generative AI models to suit their application, such as speech to text, translation, or visual scene analysis.\u003c\/p\u003e\u003cp\u003eAll of the software for compatible generative AI models can be found in Hailo’s GitHub repo.\u003c\/p\u003e\u003ch2\u003eSpecification\u003c\/h2\u003e\u003cp\u003eHailo-10H AI accelerator delivering 40 TOPS (INT4) inferencing performance\u003c\/p\u003e\u003cp\u003ePerformance for computer vision models comparable to the Raspberry Pi AI HAT+ (26 TOPS)\u003c\/p\u003e\u003cp\u003eRuns generative AI models efficiently using 8GB on-board RAM\u003c\/p\u003e\u003cp\u003eFully integrated into Raspberry Pi’s camera software stack\u003c\/p\u003e\u003cp\u003eConforms to Raspberry Pi HAT+ specification\u003c\/p\u003e\u003cp\u003eSupplied with optional heatsink, and with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place\u003c\/p\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637241602314,"sku":"RPI-HAT-AI-2","price":217.16,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/ed0c3da177ef5c8f7487a96a9d7a5cbe.webp?v=1788765777"},{"product_id":"sim8200-m2-simcom-original-5g-module-m2-form-factor-high-throughput-data-communication","title":"SIM8200-M2 SIMCom Original 5G Module, M.2 Form Factor, High Throughput Data Communication","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\u003cp\u003eOriginal SIM8200-M2 SIMCom 5G module, M.2 form factor, high throughput data communication.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/SIM8200EA-M2_5G_HAT\"\u003eWiki\u003c\/a\u003e\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ca href=\"https:\/\/www.waveshare.com\/sim8200-m2.htm\"\u003eWaveshare product page\u003c\/a\u003e\u003c\/b\u003e\u003c\/p\u003e\u003ch2\u003eAdditional information\u003c\/h2\u003e\u003ctable\u003e\u003ctr\u003e\n\n\u003cth\u003eBRAND\u003c\/th\u003e\n\n\u003ctd\u003e\u003cp\u003eWaveshare\u003c\/p\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\u003c\/table\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":53637241667850,"sku":"WS-18573","price":252.94,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/d3bedf6cc91174bc28799087f47d7c6d.webp?v=1788765780"},{"product_id":"raspberry-pi-ai-hat-26t","title":"Raspberry Pi AI HAT+ (26T)","description":"\u003cp\u003eThe Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator for Raspberry Pi 5. It provides an accessible, cost-effective, and power-efficient way to integrate high-performance AI. Explore applications including process control, security, home automation, and robotics.\u003c\/p\u003e\u003cp\u003eThe AI HAT+ is available in 13 and 26 tera-operations per second (TOPS) variants, built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13 TOPS variant capably runs neural networks for applications including object detection, semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant can handle larger networks, can run them more quickly, and can more effectively run multiple networks simultaneously.\u003c\/p\u003e\u003cp\u003eThe AI HAT+ communicates using Raspberry Pi 5’s PCIe Gen 3 interface. When the host Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects the on-board Hailo accelerator 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\u003cp\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/products\/ai-hat\/\"\u003ehttps:\/\/www.raspberrypi.com\/products\/ai-hat\/\u003c\/a\u003e\u003c\/p\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637241733386,"sku":"RPI-HAT-AI26","price":119.44,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/b7d7c6855a81b7d99d4326a48d9aa319.webp?v=1788765783"},{"product_id":"raspberry-pi-ai-hat-13t","title":"Raspberry Pi AI HAT+ (13T)","description":"\u003cp\u003eRaspberry Pi AI HAT+ (13T)\u003c\/p\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637241831690,"sku":"RPI-HAT-AI13","price":76.01,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/b7d7c6855a81b7d99d4326a48d9aa319_47617b0a-7d8c-4939-aeca-be45b314aa7b.webp?v=1788765790"},{"product_id":"power-over-ethernet-hat-h-for-raspberry-pi-5-cm-5-5v-5a-output-supports-8023afat-network-standard-isolated-switched-mode-power-supply-raspberry-pi-5-poe-hat","title":"Power Over Ethernet HAT (H) For Raspberry Pi 5 \/ CM 5, 5V 5A Output, Supports 802.3af\/at Network Standard, Isolated Switched-mode Power Supply, Raspberry Pi 5 PoE HAT","description":"\u003cp\u003ePower Over Ethernet HAT (H) For Raspberry Pi 5 \/ CM 5, 5V 5A Output, stable performance, Supports 802.3af\/at network standard, Isolated Switched-mode Power Supply, Raspberry Pi 5 PoE HAT.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePackage Content:\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\n\u003cli\u003ePoE HAT (H) x1\u003c\/li\u003e\n\n\u003cli\u003e2*2 header x1\u003c\/li\u003e\n\n\u003cli\u003e2*20 header x1\u003c\/li\u003e\n\n\u003cli\u003eStandoffs pack x1\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/PoE_HAT_(H)\"\u003eWiki\u003c\/a\u003e\u003c\/li\u003e\n\n\n\u003c\/ol\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":53637241897226,"sku":"WS-30901","price":24.92,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/cb6ee6d2c13897360c9f11530c68632c.webp?v=1788765799"},{"product_id":"raspberry-pi-ai-kit","title":"Raspberry Pi AI Kit","description":"\u003cp\u003eThe Raspberry Pi AI Kit bundles the Raspberry Pi M.2 HAT+ with a Hailo AI acceleration module for use with Raspberry Pi 5. It provides an accessible, cost-effective, and power- efficient way to integrate high-performance AI.\u003c\/p\u003e\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\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\u003cp\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\u003ch2\u003eSpecification\u003c\/h2\u003e\u003cp\u003eContains a neural network inference accelerator capable of 13 tera-operations per second (TOPS)\u003c\/p\u003e\u003cp\u003eFully integrated into Raspberry Pi’s camera software stack\u003c\/p\u003e\u003cp\u003eThermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance\u003c\/p\u003e\u003cp\u003eConforms to Raspberry Pi HAT+ specification\u003c\/p\u003e\u003cp\u003eSupplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place\u003c\/p\u003e\u003ch2\u003eDocuments\u003c\/h2\u003e\u003cul\u003e\n\n\u003cli\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\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/accessories\/ai-kit.html\"\u003eRaspberry Pi AI Kit documentation\u003c\/a\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637241962762,"sku":"RP5-AI-KIT","price":71.11,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/567d12c714d9a263909ede88ef08a774.webp?v=1788765800"},{"product_id":"pcie-to-m2-adapter-for-raspberry-pi-5-supports-nvme-protocol-m2-solid-state-drive-high-speed-readingwriting-hat-standard","title":"PCIe to M.2 Adapter for Raspberry Pi 5, Supports NVMe Protocol M.2 Solid State Drive, High-speed Reading\/Writing, HAT+ Standard","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\u003cp\u003ePCIe To M.2 Adapter For Raspberry Pi 5, Supports NVMe Protocol M.2 Solid State Drive, High-Speed Reading\/Writing, HAT + Standard, Optional 128GB \/ 256GB Solid State Drive.\u003c\/p\u003e\u003cp\u003ePackage Content:\u003c\/p\u003e\u003col\u003e\n\n\u003cli\u003ePCIe TO M.2 HAT+ x1\u003c\/li\u003e\n\n\u003cli\u003e2*20 Pin header x1\u003c\/li\u003e\n\n\u003cli\u003e16P-Cable-40mm x1\u003c\/li\u003e\n\n\u003cli\u003eStandoff pack x1\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/pcie-to-m.2-hat-plus.htm\"\u003eWaveshare Product Link\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/PCIe_TO_M.2_HAT+\"\u003eWiki\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":53637242061066,"sku":"WS-26583","price":8.9,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/a59b535c7e4d8f541b6dc5e7de71c07b.webp?v=1788765802"},{"product_id":"raspberry-pi-m2-hat","title":"Raspberry Pi M.2 HAT+","description":"\u003cp\u003eIl Raspberry Pi M.2 HAT+ ti consente di collegare periferiche M.2 come unità NVMe e acceleratori IA all'interfaccia PCIe 2.0 del Raspberry Pi 5, supportando un trasferimento dati rapido (fino a 500 MB\/s) da e verso unità NVMe e altri accessori PCIe.\u003c\/p\u003e\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eL'interfaccia PCI Express 2.0 a linea singola del Raspberry Pi 5 è esposta su un connettore FPC a 16 pin con passo di 0,5 mm; il Raspberry Pi M.2 HAT+ M Key è una scheda adattatore meccanica che converte questo connettore in un sottoinsieme dello standard M.2. Supporta dispositivi dotati di connettore edge M.2 M key, nei formati 2230 e 2242. È in grado di fornire fino a 3A ai dispositivi M.2 collegati.\u003c\/p\u003e\u003cp\u003eIl Raspberry Pi M.2 HAT+ è conforme alla specifica Raspberry Pi HAT+ e viene rilevato automaticamente dal software\/firmware Raspberry Pi più recente. Viene fornito con un header di impilamento da 16 mm e distanziatori filettati, in modo da poter essere montato su un Raspberry Pi 5 con il Raspberry Pi Active Cooler già installato.\u003c\/p\u003e\u003ch2\u003eDocumenti\u003c\/h2\u003e\u003cul\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/m2-hat-plus\/raspberry-pi-m2-hat-plus-product-brief.pdf\"\u003eScheda tecnica del Raspberry Pi M.2 HAT+\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/accessories\/m2-hat-plus.html#installation\"\u003eIstruzioni di montaggio del Raspberry Pi M.2 HAT+\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/m2-hat-plus\/raspberry-pi-m2-hat-plus-schematics.pdf\"\u003eSchemi del Raspberry Pi M.2 HAT+\u003c\/a\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\u003ch2\u003eDichiarazione di obsolescenza\u003c\/h2\u003e\u003cp\u003eIl Raspberry Pi M.2 HAT+ rimarrà in produzione almeno fino a gennaio 2032\u003c\/p\u003e","brand":"Raspberry Pi","offers":[{"title":"Default Title","offer_id":53637242093834,"sku":"RP5-M2-HAT","price":13.03,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/561d0009172bf37182a6c45526fd1b66.webp?v=1788765802"},{"product_id":"dacberry-400-s-for-raspberry-pi-400","title":"DACBERRY 400 S (for Raspberry Pi 400)","description":"\u003cp\u003eDACBERRY 400 S (for Raspberry Pi 400)\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":53637242159370,"sku":"MEL-PI400-DAC400S","price":13.26,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/abc4379308328ff29dccd9fa05028836.webp?v=1788765809"},{"product_id":"sim7600g-h-m2-4g-hat-for-raspberry-pi-lte-cat4-high-speed-4g3g2g-gnss-global-band","title":"SIM7600G-H M.2 4G HAT for Raspberry Pi, LTE CAT4 High Speed, 4G\/3G\/2G, GNSS, Global Band","description":"\u003cp\u003eSIM7600G-H M.2 4G HAT For Raspberry Pi, LTE CAT4 High Speed, Global Coverage Multi Band, 4G\/3G\/2G Compatible, GNSS.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/SIM7600G-H-M2_4G_HAT\"\u003eTutorial, schematics and demo code\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/sim7600g-h-m2-4g-hat.htm\"\u003eWaveshare product page\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003ePackage Content:\u003c\/p\u003e\u003cul\u003e\n\n\u003cli\u003eM.2 TO 4G\/5G HAT x1\u003c\/li\u003e\n\n\u003cli\u003eSIM7600G-H-M.2 x1\u003c\/li\u003e\n\n\u003cli\u003eAntenna 2pcs x1\u003c\/li\u003e\n\n\u003cli\u003eIPEX adapter cable 2pcs x1\u003c\/li\u003e\n\n\u003cli\u003e2*20PIN pin header x1\u003c\/li\u003e\n\n\u003cli\u003ePassive GPS antenna x1\u003c\/li\u003e\n\n\u003cli\u003eDual plug USB3.0 cable x1\u003c\/li\u003e\n\n\u003cli\u003eUSB3.0 adapter x1\u003c\/li\u003e\n\n\u003cli\u003eUSB2.0 adapter x1\u003c\/li\u003e\n\n\u003cli\u003eSMA protective cap 2pcs x1\u003c\/li\u003e\n\n\u003cli\u003eScrews pack x1\u003c\/li\u003e\n\n\n\u003c\/ul\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":53637242257674,"sku":"WS-21707","price":108.58,"currency_code":"ALL","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0963\/6528\/1546\/files\/165c039e5225efbd14c00858abd5fcd9.webp?v=1788765815"},{"product_id":"raspberry-pi-tv-hat","title":"Raspberry Pi TV HAT","description":"\u003cp\u003eQuesta scheda aggiuntiva ti permette di ricevere flussi TV digitali DVB-T2 sul tuo Raspberry Pi per guardarli o trasmetterli in streaming su altri dispositivi in rete.\u003c\/p\u003e\u003ch2\u003e\u003cb\u003ePer iniziare\u003c\/b\u003e\u003c\/h2\u003e\u003cp\u003ePer iniziare avrai bisogno di:\u003c\/p\u003e\u003cul\u003e\n\n\u003cli\u003eQualsiasi Raspberry Pi a 40 pin (inclusi \u003ca href=\"https:\/\/www.raspberrypi.com\/products\/raspberry-pi-zero\/\"\u003ePi 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