{"id":1654,"date":"2026-04-10T11:31:35","date_gmt":"2026-04-10T11:31:35","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/edgx-debuts-first-in-orbit-ai-computing-demo-on-spacex-transporter-16\/"},"modified":"2026-04-10T11:31:35","modified_gmt":"2026-04-10T11:31:35","slug":"edgx-debuts-first-in-orbit-ai-computing-demo-on-spacex-transporter-16","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/edgx-debuts-first-in-orbit-ai-computing-demo-on-spacex-transporter-16\/","title":{"rendered":"EDGX Debuts First In-Orbit AI Computing Demo on SpaceX Transporter-16"},"content":{"rendered":"

\"EDGX<\/p>\n

Belgian spacetech EDGX<\/strong> <\/strong>has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX’s Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications.<\/p>\n

Through STERNA, the company brings high-performance, NVIDIA-based processing directly onboard satellites, allowing data to be analysed in orbit rather than relying solely on ground infrastructure. STERNA is an NVIDIA-powered computing platform, designed to run high-performance workloads directly in orbit. Engineered for real in-orbit constraints, it dynamically scales power between 10W and 45W, ensuring continuous data processing under varying power and thermal conditions. The system is designed for long-term reliability, with a target operational lifetime of 7 years in orbit.<\/p>\n

\n

Also Read: Why Space-Resilient Computing is Critical for the Next Decade of Space Innovation<\/h4>\n<\/div>\n

The news is a key milestone for Europe’s space-based computing infrastructure and follows a \u20ac2.3 million seed funding round in June 2025. Commenting on the news, EDGX CEO <\/strong>Nick Destrycker<\/strong> said: “This launch marks a key milestone for EDGX and for Europe’s position in space-based computing. By bringing high-performance compute directly into orbit, we’re enabling satellites to move from data collection platforms to real-time decision-making systems. Our focus is simple: deliver reliable, scalable compute infrastructure in space, and this mission is the first step.<\/p>\n

“We believe the next phase of the space industry will be defined by compute in orbit. This mission is the first step in building that infrastructure, turning satellites into intelligent, software-defined systems capable of processing data where it is generated.” By bringing NVIDIA-class compute performance into space, EDGX enables a new generation of software-defined satellites capable of running advanced AI workloads, from Earth observation analytics to real-time signal intelligence, directly where the data is generated. This reduces latency, cuts bandwidth usage, and supports faster decision-making for operators on the ground.<\/p>\n

This capability eliminates the traditional bottleneck of sending massive raw datasets to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services. In defence scenarios, for example, this translates into a real operational advantage: reducing the time between detection and action on the battlefield.<\/p>\n","protected":false},"excerpt":{"rendered":"

Belgian spacetech EDGX has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX’s Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications. Through STERNA, the company brings […]<\/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":[26,25,20],"class_list":["post-1654","post","type-post","status-publish","format-standard","hentry","category-news","tag-ground","tag-launch","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/1654"}],"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=1654"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/1654\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=1654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=1654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=1654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}