{"id":9038,"date":"2022-11-25T01:33:53","date_gmt":"2022-11-24T17:33:53","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/amds-versal-adaptive-socs-completes-class-b-qualification-enabling-on-board-ai-processing-in-space\/"},"modified":"2022-11-25T01:33:53","modified_gmt":"2022-11-24T17:33:53","slug":"amds-versal-adaptive-socs-completes-class-b-qualification-enabling-on-board-ai-processing-in-space","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/amds-versal-adaptive-socs-completes-class-b-qualification-enabling-on-board-ai-processing-in-space\/","title":{"rendered":"AMD&#8217;s Versal Adaptive SoCs Completes Class B Qualification Enabling On-Board AI Processing in Space"},"content":{"rendered":"<p style=\"text-align: center;\" itemprop=\"image\" itemscope=\"\" itemtype=\"https:\/\/schema.org\/ImageObject\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cdn.satnow.com\/news\/vers_638048653462430396.png\" width=\"712\" height=\"377\" alt=\"AMD's Versal Adaptive SoCs Completes Class B Qualification Enabling On-Board AI Processing in Space\" class=\"imageload removeImageattr\" data-original=\"https:\/\/cdn.satnow.com\/news\/vers_638048653462430396.png\" style=\"opacity: 0;\"><meta itemprop=\"url\" content=\"https:\/\/cdn.satnow.com\/news\/vers_638048653462430396.png\"><meta itemprop=\"width\" content=\"712\"><meta itemprop=\"height\" content=\"377\"><\/p>\n<p>AMD announced that it has received Class B qualification for the company\u2019s first space-grade Versal Adaptive SoCs. The XQR Versal AI Core XQRVC1902 devices deliver full radiation tolerance, accelerated AI inferencing, and high-bandwidth signal processing performance for satellite and space applications. The completion of Class B qualification, derived from the US military specification <strong><\/strong>MIL-PRF-38535<strong><\/strong>, allows the devices to begin shipping in early 2023.<\/p>\n<p>The radiation-tolerant XQR Versal AI Core XQRVC1902 devices represent a major leap forward in enabling sophisticated onboard data processing and AI inferencing applications in space. Until now, highly complex AI applications could only be performed with custom-designed ASICs, which are prohibitively expensive for most space programs.<\/p>\n<p>In contrast to ASICs, the XQR Versal adaptive SoC supports reprogramming during development as well as after deployment, including in-flight in the harsh radiation environment of space. This permits satellite operators to change processing algorithms after a satellite has been launched, allowing for previously unavailable flexibility in remote sensing and communications applications. The radiation tolerance of the XQR Versal has been tested by AMD and independent organizations and has been determined to be capable of supporting missions from low-earth orbit to geosynchronous earth orbit and beyond.<\/p>\n<p>\u201cRaytheon is basing our next-generation space processors on the XQR Versal adaptive SoCs due to the chip\u2019s performance in various radiation environments and its high-quality levels,\u201d said Barry Liu, Senior Director, Space Systems at Raytheon Intelligence and Space. \u201cIts heterogeneous computing capabilities and reconfigurable logic fabric will enable our teams to integrate more on-board processing in a considerably smaller footprint, enabling unprecedented advances in system-level size, weight, and power (SWaP).\u201d<\/p>\n<p><span style=\"font-size: 18px;\"><strong>Architecture of the 7 nm Versal Adaptive SoC<\/strong><\/span><\/p>\n<p>The XQR Versal AI Core adaptive SoCs offer advanced signal processing and AI inferencing capability in a heterogeneous computing platform. The devices feature dual-core Arm Cortex-A72 and dual-core Arm Cortex-R5&nbsp;embedded processors, 400 AI\/ML compute engines, almost 900,000 logic cells, and 191M-bits of memory, all connected with a network-on-chip and fabricated on a 7 nm CMOS process.<\/p>\n<p>Developers can produce designs for XQR Versal devices using the AMD Xilinx Vivado tool suite and Vitis AI software platform from a variety of developer tools and industry-standard frameworks, including RTL, C, and C++, Matlab, Caffe, TensorFlow, PyTorch, and others.<\/p>\n<p>\u201cThe Class B qualification marks a significant milestone in the introduction of advanced programmable solutions for space applications,\u201d said Minal Sawant, Senior Director of Aerospace and Defense Vertical Market, AMD. \u201cWe have prioritized an accelerated schedule for the Versal adaptive SoC Class B qualification, all while ensuring a thorough and rigorous approach to the testing and analysis necessary to qualify devices for use in space. We are excited to start scheduling customers\u2019 orders for flight-grade Versal devices.\u201d<\/p>\n<p>The AMD Class B qualification and manufacturing test flow is based on the US Department of Defense MIL-PRF-38535 Class B specification for qualification and testing of monolithic integrated circuits and has been adapted for the advanced organic packaging AMD is using for XQR Versal space-grade products.<\/p>\n<p>Click here to learn about AMD Xilinx space achievements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AMD announced that it has received Class B qualification for the company\u2019s first space-grade Versal Adaptive SoCs. The XQR Versal AI Core XQRVC1902 devices deliver full radiation tolerance, accelerated AI inferencing, and high-bandwidth signal processing performance for satellite and space applications. The completion of Class B qualification, derived from the US military specification MIL-PRF-38535, allows [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[38,20],"class_list":["post-9038","post","type-post","status-publish","format-standard","hentry","category-news","tag-leo","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/9038"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=9038"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/9038\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=9038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=9038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=9038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}