{"id":68611,"date":"2026-08-11T01:29:04","date_gmt":"2026-08-10T17:29:04","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/xiphos-advances-space-computing-with-low-swap-high-performance-processors\/"},"modified":"2026-08-11T01:29:04","modified_gmt":"2026-08-10T17:29:04","slug":"xiphos-advances-space-computing-with-low-swap-high-performance-processors","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/xiphos-advances-space-computing-with-low-swap-high-performance-processors\/","title":{"rendered":"Xiphos Advances Space Computing with Low-SWaP High-Performance Processors"},"content":{"rendered":"

\"Xiphos<\/p>\n

Xiphos<\/strong> is advancing compact, space-ready computing for spacecraft, launchers, landers, rovers and payloads, with its portfolio built around flight-proven COTS-based processing solutions optimized for size, weight and efficiency. The company\u2019s Q-card and daughterboard architecture combines software and FPGA logic to support demanding hybrid, image, signal and interface processing applications. The solutions are used across RF ISR, EO and science ISR, space science, launch and communications, supporting the growing need for high-performance computing in constrained space environments.<\/p>\n

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The current Xiphos portfolio spans several processor families, including the Q7 ultra-low-SWaP family, Q8 low-SWaP family, Q8J low-SWaP family with GTH, Q9 high-performance family and Q-RF family. Products include the Q7, Q7 ACS, Q8, Q8 Camera Board, Q8 OBC, Q8J, Q8J DSIB, Q8RF, Q8RFG3 and Q9. These products cover functions ranging from processor boards and attitude-control processing to data storage and interfaces, onboard computing, optical payload processing and RF payload processing.<\/p>\n

Also Read: Xiphos Systems: Pioneering Manufacturer of Space Computing Solutions for Satellite and Space<\/h4>\n

At the high-performance end, the Q9 Versal Computer-on-Module is an AI\/edge-processing system based on the Xilinx Versal AI Core, with 16 GB of processor and programmable-logic memory, up to 2,000 GB of bulk storage and typical power consumption of 40 W. The Q8RF and Q8RFG3 RFSoC processors support direct RF sampling and real-time digital signal processing without external data converters or complex analogue front ends. The Q8 Camera Board provides high-performance image processing with two Camera Link interfaces and the Q8 OBC provides a packaged onboard-computing solution based on the Q8 processor.<\/p>\n

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Xiphos also provides technologies and services for developing mission-specific computing systems. The software hybridization combines custom software with FPGA logic for applications including image processing, signal processing and data acquisition, while its firmware development capabilities address control, communications and high-speed processing. The company also provides hardware development, Linux driver\/API and application software development, custom solutions, training and technical support, allowing customers to move from concept through production with tailored computing architectures.<\/p>\n

Space readiness is supported through radiation and environmental qualification. Xiphos states that its processor architecture incorporates features such as dual FPGAs, ECC memory, radiation-effects mitigation and memory-scrubbing software. The validation activities include board-level proton and total ionizing dose (TID) testing, alongside environmental qualification involving thermal-vacuum (TVAC), vibration and shock testing. The company also supports missions across LEO, launchers and lunar applications, demonstrating the adaptability of COTS-based processing approach to demanding space environments.<\/p>\n

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Xiphos’ computing portfolio is therefore positioned to provide compact and efficient processing across spacecraft and payload architectures, from ultra-low-SWaP Q7 systems and low-SWaP Q8\/Q8J platforms to RFSoC processing and the high performance Q9 platform. By combining flight-proven hardware, FPGA-based processing, RF and imaging capabilities, custom development and mission-specific support, Xiphos is addressing the computing requirements of increasingly capable spacecraft, launch systems, robotic platforms and space payloads.<\/p>\n

About Xiphos<\/u><\/strong><\/p>\n

Xiphos develops space-ready COTS-based processor boards, daughterboards, embedded computing systems, RF processing platforms and custom solutions for demanding aerospace and space applications. Its portfolio supports RF ISR, EO and science ISR, space science, launch and communications, with products designed for spacecraft, launchers, landers, rovers and payloads.<\/p>\n","protected":false},"excerpt":{"rendered":"

Xiphos is advancing compact, space-ready computing for spacecraft, launchers, landers, rovers and payloads, with its portfolio built around flight-proven COTS-based processing solutions optimized for size, weight and efficiency. The company\u2019s Q-card and daughterboard architecture combines software and FPGA logic to support demanding hybrid, image, signal and interface processing applications. The solutions are used across RF […]<\/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":[39,85,96,20],"class_list":["post-68611","post","type-post","status-publish","format-standard","hentry","category-news","tag-aerospace","tag-fpgas","tag-memory","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/68611"}],"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=68611"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/68611\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=68611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=68611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=68611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}