{"title":"Embedded","description":null,"products":[{"product_id":"axelera-embedded-110m","title":"Axelera Embedded 110m","description":"\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e\u003cstrong\u003eAxelera Embedded 110m\u003c\/strong\u003e, powered by \u003cstrong\u003ea single, quad-core\u003c\/strong\u003e \u003cstrong\u003eMetis\u003cmeta charset=\"utf-8\"\u003e® AIPU\u003c\/strong\u003e, is perfect for constrained devices that require \u003cstrong\u003ehigh-performance AI inference.\u003c\/strong\u003e\u003c\/span\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eMetis Axelera AI Embedded AI Inference Accelerator Card \u003c\/span\u003edelivers high-performance edge AI in a compact PCIe Gen 3.0 x4 form factor. A single quad-core Metis AIPU supports multiple cameras and independent parallel neural networks, with a wide range of ready-to-use AI pipelines and models plus Voyager SDK integration for streamlined deployment.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eKey Benefits:\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"p2\"\u003eHigh performance Axelera Embedded 110m card feature Metis AIPU to enable state-of-the-art AI inference in small footprint devices.\u003c\/li\u003e\n\u003cli class=\"p2\"\u003eA single board can run inference on multiple cameras as well as support many independent parallel neural networks.\u003c\/li\u003e\n\u003cli class=\"p2\"\u003eA wide range of end-to-end AI pipelines and models are available out of the box. • Hassle free evaluation and software integration thanks to Voyager® SDK. \u003c\/li\u003e\n\u003cli class=\"p2\"\u003eUncompromised prediction accuracy thanks to advanced quantization tools.\u003c\/li\u003e\n\u003cli class=\"p2\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eThe product variant with no cooling gives\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan\u003ecustomers the flexibility to design their own cooling solution using the\u003c\/span\u003e\u003cspan\u003e \u003ca title=\"Original URL: https:\/\/support.axelera.ai\/hc\/en-us\/articles\/25548456616466-Metis-M-2-Thermal-Design-Guide. Click or tap if you trust this link.\" href=\"https:\/\/eur05.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fsupport.axelera.ai%2Fhc%2Fen-us%2Farticles%2F25548456616466-Metis-M-2-Thermal-Design-Guide\u0026amp;data=05%7C02%7Cwendy.vargas%40axelera.ai%7C614e75eb7db74237eeaf08dda81a8d7d%7C9c838ba7c38c416da7931de07a190ebd%7C0%7C0%7C638851554170389458%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=41lFa8zi%2Bz%2F%2FzH9hhR7vv0Q72WgrtmfPAs9jWMlVue4%3D\u0026amp;reserved=0\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eThermal Design Guidelines\u003c\/a\u003e.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eSystem Requirements\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMetis M.2 Card has the following system integration requirements. Our team actively tests integration with different systems from vendors such as Dell, Lenovo, Advantech and Aetina.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHost Interface: PCIe Gen. 3.0 x4\u003c\/li\u003e\n\u003cli\u003eMechanical form factor: M.2 2280 M-key requires H5.6.\u003c\/li\u003e\n\u003cli\u003ePower Rating: \u003cspan\u003eCompliant with PCI-SIG’s M.2 Specification revision 4.0 (11.55 W average power, 23.1 W peak power). \u003c\/span\u003e\u003cspan\u003eRefer to Typical Power specs in the \u003ca title=\"Original URL: https:\/\/support.axelera.ai\/hc\/en-us\/articles\/22725661107346-Metis-M-2-1GB-Datasheet. Click or tap if you trust this link.\" href=\"https:\/\/eur05.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fsupport.axelera.ai%2Fhc%2Fen-us%2Farticles%2F22725661107346-Metis-M-2-1GB-Datasheet\u0026amp;data=05%7C02%7Cwendy.vargas%40axelera.ai%7Cb9c1046c3c9c4d7cef8808dd9246df22%7C9c838ba7c38c416da7931de07a190ebd%7C0%7C0%7C638827555423735763%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=wms2WBoOM%2BSVQGCQ6kFRdtxM5e8DVO8ZxzcPISzcLFQ%3D\u0026amp;reserved=0\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eMetis M.2 Card Datasheet\u003c\/a\u003e for typical average power consumed when running inference.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eHost CPU: Intel® Core™ Processors and Xeon\u003cmeta charset=\"utf-8\"\u003e® Processors, Ryzen™ Processors, Arm64 (aarch64) based processors.\u003c\/li\u003e\n\u003cli\u003eHost Operating System:\u003cmeta charset=\"utf-8\"\u003e\n\u003cul\u003e\n\u003cli\u003eNative Linux support is tested on Ubuntu 22.04 and Ubuntu 24.04\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eA \u003c\/span\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/eur05.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fsupport.axelera.ai%2Fhc%2Fen-us%2Farticles%2F25953148201362-Install-Voyager-SDK-in-a-Docker-Container\u0026amp;data=05%7C02%7Cwendy.vargas%40axelera.ai%7Cb9c1046c3c9c4d7cef8808dd9246df22%7C9c838ba7c38c416da7931de07a190ebd%7C0%7C0%7C638827555423750785%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=VWiCrReAv22sAa54inxg1OU92ErdEQMWO5PincTgvTA%3D\u0026amp;reserved=0\" title=\"Original URL: https:\/\/support.axelera.ai\/hc\/en-us\/articles\/25953148201362-Install-Voyager-SDK-in-a-Docker-Container. Click or tap if you trust this link.\" target=\"_blank\"\u003eDocker Guide\u003c\/a\u003e\u003cspan\u003e is available to evaluate or develop with other Linux distributions.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNative Windows support for inference is available on Windows 10\/11 and Windows Server 2025. SDK development is only supported on Linux.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca class=\"button\" href=\"https:\/\/axelera.ai\/hubfs\/Axelera_February2025\/pdfs\/axelera-ai-m2-ai-edge-accelerator-module.pdf\" rel=\"noopener\" target=\"_blank\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eDownload the M.2 Product Brief here!\u003c\/span\u003e\u003c\/a\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cstyle\u003e\n.button {\n   background-color: #f4be18;\n   color: #000000;\n   font-size: 16px;\n   padding: 10px 30px;\n   text-align: center;\n   display: inline-block;\n   text-decoration: none; \/* Removes underline *\/\n   border-radius: 22px;\n   transition: background 0.4s ease; \/* Smooth transition *\/\n}\n.button:hover {\n   background: linear-gradient(90deg, #f4be18 50%, #5aa67a 65%, #3e53e5 80%, #3e53e5 90%);\n   color: #fff;\n   text-decoration: none;\n}\n\u003c\/style\u003e\n\u003cp class=\"MsoListParagraphCxSpFirst\" style=\"text-indent: -18.0pt; mso-list: l1 level1 lfo2;\"\u003e\u003c!-- [if !supportLists]--\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-GB;\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eD·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Axelera AI","offers":[{"title":"No Cooling","offer_id":50417327145301,"sku":"AXE-BME20M1AR01B02","price":249.95,"currency_code":"USD","in_stock":true},{"title":"Active Cooling","offer_id":50417327112533,"sku":"AXE-BME20M1AM01A02","price":262.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0879\/1664\/2645\/files\/Axelera-AI-Metis-M.2-No-Cooling-Front-Image.png?v=1775642983"}],"url":"https:\/\/store.axelera.ai\/collections\/embedded.oembed","provider":"Axelera AI","version":"1.0","type":"link"}