{"id":887443,"date":"2026-01-16T06:06:38","date_gmt":"2026-01-16T06:06:38","guid":{"rendered":"https:\/\/www.electronicsweekly.com\/?p=887443"},"modified":"2026-01-21T11:05:07","modified_gmt":"2026-01-21T11:05:07","slug":"raspberry-pi-ai-hat-2-updates-for-generative-ai","status":"publish","type":"post","link":"https:\/\/www.electronicsweekly.com\/news\/products\/raspberry-pi-development\/raspberry-pi-ai-hat-2-updates-for-generative-ai-2026-01\/","title":{"rendered":"Raspberry Pi AI HAT+ 2 updates for Generative AI"},"content":{"rendered":"<p>Raspberry Pi has updated its AI HAT+ for using Generative AI on the Raspberry Pi 5. Enter the Raspberry Pi AI HAT+ 2.<\/p><div class=\"elect-content\" style=\"margin-left: auto; margin-right: auto; text-align: center; \" id=\"elect-1294055868\"><div id=\"x02\">\r\n<script type=\"text\/javascript\"> if ($(window).width() <= 768) { googletag.display('x02'); } <\/script>\r\n<\/div>\r\n<\/div>\n<p><a rel=\"image\" href=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15115715\/Raspberry-Pi-AI-HAT-2-lo-res-1024x686-crop.webp\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-887445 size-full\" src=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15115715\/Raspberry-Pi-AI-HAT-2-lo-res-1024x686-crop.webp\" alt=\"Raspberry Pi AI HAT+ 2 updates for Generative AI \" width=\"805\" height=\"524\" srcset=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15115715\/Raspberry-Pi-AI-HAT-2-lo-res-1024x686-crop.webp 805w, https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15115715\/Raspberry-Pi-AI-HAT-2-lo-res-1024x686-crop-300x195.webp 300w, https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15115715\/Raspberry-Pi-AI-HAT-2-lo-res-1024x686-crop-768x500.webp 768w\" sizes=\"auto, (max-width: 805px) 100vw, 805px\" \/><\/a><\/p>\n<p>The previous add-on board featured the Hailo-8 (26-TOPS variant) and Hailo-8L (13-TOPS variant) neural network accelerators. But they lacked the capability to run generative AI models, which is what the AI HAT+ 2 addresses.<\/p><div class=\"elect-test\" style=\"margin-left: auto; margin-right: auto; text-align: center; \" id=\"elect-599492509\"><div id=\"DFP-EW-InRead1\">\r\n<script type=\"text\/javascript\"> if ($(window).width() > 768) { googletag.display('DFP-EW-InRead1'); } <\/script>\r\n<\/div>\r\n<BR>\r\n<\/div>\n<p>Possible applications include Raspberry Pi-based voice assistants, speech recognition and processing Vision Language Models (VLMs) such as interpreting scenes from a camera stream.<\/p><div class=\"elect-post-content-2\" style=\"margin-left: auto; margin-right: auto; text-align: center; \" id=\"elect-644995401\"><div id=\"DFP-EW-InRead1-Mobile\">\r\n<script type=\"text\/javascript\"> if ($(window).width() <= 768) { googletag.display('DFP-EW-InRead1-Mobile'); } <\/script>\r\n<\/div>\r\n<\/div>\n<p>It is priced at $130.<\/p>\n<h2>Specification<\/h2>\n<p>The Raspberry Pi AI HAT+ 2 features the Hailo-10H neural network accelerator and delivers 40 TOPS (INT4) of inferencing performance. This is enough, says the company, to ensure generative AI workloads can run smoothly on the associated Raspberry Pi 5. This is processing locally and without a network connection<\/p>\n<p>The AI HAT+ 2 features 8GB of dedicated onboard RAM to handle much larger sized models than before. For example, to accelerate large language models (LLMs), VLMs\u00a0 and other generative AI applications.<\/p>\n<p><a rel=\"image\" href=\"https:\/\/www.raspberrypi.com\/news\/introducing-the-raspberry-pi-ai-hat-plus-2-generative-ai-on-raspberry-pi-5\/\" target=\"_blank\" rel=\"nofollow\">Naush Patuck<\/a>, senior principal engineer at Raspberry Pi, writes: &#8220;For vision-based models \u2014 such as Yolo-based object recognition, pose estimation, and scene segmentation \u2014 the AI HAT+ 2\u2019s computer vision performance is broadly equivalent to that of its 26-TOPS predecessor, thanks to the onboard RAM. It also benefits from the same tight integration with our camera software stack (libcamera, rpicam-apps, and Picamera2) as the original AI HAT+.&#8221;<\/p>\n<h2>AI HAT+ 2 LLMs<\/h2>\n<p>The LLMs available to install at launch are: DeepSeek-R1-Distill, Llama3.2, Qwen2.5-Coder, Qwen2.5-Instruct and Qwen2. These edge-based LLMs, sized to fit into the available onboard RAM, typically run at 1\u20137 billion parameters.<\/p>\n<p>The AI HAT+ 2 also supports Low-Rank Adaptation (LoRA)-based fine-tuning of the language models, says Raspberry Pi, &#8220;enabling efficient, task-specific customisation of pre-trained LLMs while keeping most of the base model parameters frozen&#8221;.<\/p>\n<h2>Setup<\/h2>\n<p><a rel=\"image\" href=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15120129\/AI-HAT-2-lifestyle-scaled-e1768411522240-1018x1024-1.webp\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-887448\" src=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15120129\/AI-HAT-2-lifestyle-scaled-e1768411522240-1018x1024-1.webp\" alt=\"Connected with Camera\" width=\"650\" height=\"428\" srcset=\"https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15120129\/AI-HAT-2-lifestyle-scaled-e1768411522240-1018x1024-1.webp 650w, https:\/\/static.electronicsweekly.com\/wp-content\/uploads\/2026\/01\/15120129\/AI-HAT-2-lifestyle-scaled-e1768411522240-1018x1024-1-300x198.webp 300w\" sizes=\"auto, (max-width: 650px) 100vw, 650px\" \/><\/a><\/p>\n<p>Note there is a Raspberry Pi <a rel=\"image\" href=\"https:\/\/www.raspberrypi.com\/documentation\/accessories\/ai-hat-plus.html\" target=\"_blank\" rel=\"nofollow\">guide<\/a> for help in setting it up. And Hailo\u2019s GitHub repo is a resource for examples, demos and frameworks, for both vision- and GenAI-based applications.<\/p>\n<p>The original AI HAT+ was <a rel=\"image\" href=\"https:\/\/www.electronicsweekly.com\/uncategorised\/raspberry-pi-doubles-ai-performance-to-26top-s-2024-10\/\" target=\"_blank\" rel=\"noopener\">introduced<\/a> in October 2024.<\/p>\n<p><iframe loading=\"lazy\" title=\"Using an LLM with the Raspberry Pi AI HAT+ 2\" width=\"620\" height=\"349\" src=\"https:\/\/www.youtube.com\/embed\/Fe-LDntUZgI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><em>Images: Raspberry Pi<\/em><\/p>\n<p><em>See also<\/em>: <a rel=\"image\" href=\"https:\/\/www.electronicsweekly.com\/news\/products\/bus-systems-sbcs\/squeeze-an-m-2-ssd-inside-the-raspberry-pi-5-case-2025-09\/\" target=\"_blank\" rel=\"noopener\">Squeeze an M.2 SSD inside the Raspberry Pi 5 case<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Raspberry Pi has updated its AI HAT+ for using Generative AI on the Raspberry Pi 5. Enter the Raspberry Pi AI HAT+ 2. The previous add-on board featured the Hailo-8 &#8230;<\/p>\n","protected":false},"author":4274,"featured_media":887445,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17258,12772],"tags":[16811,12868],"class_list":["post-887443","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-raspberry-pi-development","tag-ai","tag-raspberry-pi"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.7 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Raspberry Pi AI HAT+ 2 updates for Generative AI | Electronics Weekly<\/title>\n<meta name=\"description\" content=\"Raspberry Pi has updates its AI HAT+ for Generative AI on the Raspberry Pi 5. 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