--- title: Aetina Launches Edge AI Systems for Robotics | daily.dev description: Aetina has launched the DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems for robotics, built on Nvidia Jetson Thor modules and the Blackwell architecture. The... canonical: https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Aetina Launches Edge AI Systems for Robotics | daily.dev og:description: Aetina has launched the DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems for robotics, built on Nvidia Jetson Thor modules and the Blackwell architecture. The... og:url: https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba og:image: https://api.daily.dev/og/posts/sy50Yf6bA.png og:image:alt: Aetina Launches Edge AI Systems for Robotics og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Aetina Launches Edge AI Systems for Robotics **[Embedded.com](https://daily.dev/sources/embedded-com)** · 3 min read · 0 upvotes · 0 comments ## Summary Aetina has launched the DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems for robotics, built on Nvidia Jetson Thor modules and the Blackwell architecture. The systems combine AI perception, decision-making, and deterministic EtherCAT-based control in one unit, targeting cobots, humanoid robots, and autonomous machines. The AIE-KT78 delivers up to 2,070 FP4 TFLOPS with 128GB memory, while the AIE-KT68 offers up to 1,200 FP4 TFLOPS with 64GB memory. Both support high-bandwidth sensor connectivity (QSFP28, dual 10GbE, up to eight GMSL2 camera inputs) and run Linux with Nvidia's full AI software stack including JetPack 7, CUDA, TensorRT, DeepStream, Holoscan, and Isaac ROS. They are available now. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the specs of the Aetina AIE-KT78 edge AI system for robotics? The AIE-KT78 is powered by the Nvidia Jetson T5000 module with 128GB of 256-bit LPDDR5X memory, delivering up to 2,070 FP4 TFLOPS of AI performance. It includes QSFP28 connectivity up to 4x25 Gbit/s, dual RJ45 10GbE ports, support for up to eight GMSL2 camera inputs, and a dedicated EtherCAT Master port for microsecond-level motor and actuator synchronization. _Engineers specing robotics hardware can track new edge AI board releases like this one on daily.dev._ ### What software stack runs on the Aetina AIE-KT78 and AIE-KT68 edge AI systems? They run Linux with Nvidia's full AI software stack, including JetPack 7, CUDA, TensorRT, DeepStream, Holoscan, and Isaac ROS. This stack supports on-device multimodal generative AI, large language models, vision language models, and vision language action model execution for robotics perception and control. _Developers building robotics AI pipelines can follow Jetson software stack updates on daily.dev._ ## Similar posts on daily.dev - [Aetina Adds Jetson T3000 and T2000 Support to Edge AI Systems](https://daily.dev/posts/aetina-adds-jetson-t3000-and-t2000-support-to-edge-ai-systems-sh4oxkhl7) · Embedded.com · 0 upvotes · 0 comments - [Aetina Introduces Palm-Sized In-Vehicle Edge AI Platforms](https://daily.dev/posts/aetina-introduces-palm-sized-in-vehicle-edge-ai-platforms-5cbnxm5ps) · Embedded.com · 0 upvotes · 0 comments - [NVIDIA IGX Thor Robotics Processor Brings Real-Time Physical AI to the Industrial and Medical Edge](https://daily.dev/posts/nvidia-igx-thor-robotics-processor-brings-real-time-physical-ai-to-the-industrial-and-medical-edge-j8y6svy6x) · NVIDIA · 0 upvotes · 0 comments - [Accelerate AI Inference for Edge and Robotics with NVIDIA Jetson T4000 and NVIDIA JetPack 7.1](https://daily.dev/posts/accelerate-ai-inference-for-edge-and-robotics-with-nvidia-jetson-t4000-and-nvidia-jetpack-7-1-lxnil3vmy) · NVIDIA Developer · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#robotics](https://daily.dev/tags/robotics), [#embedded](https://daily.dev/tags/embedded), [#local-ai](https://daily.dev/tags/local-ai) [View this post on daily.dev](https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Aetina Launches Edge AI Systems for Robotics","url":"https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba"},"datePublished":"2026-10-01T16:05:00.764Z","dateModified":"2026-10-01T16:05:40.894Z","description":"Aetina has launched the DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems for robotics, built on Nvidia Jetson Thor modules and the Blackwell architecture. The...","image":"https://media.daily.dev/image/upload/s--P4t4XyoV--/f_auto/v1722860399/public/Placeholder%2001","thumbnailUrl":"https://media.daily.dev/image/upload/s--P4t4XyoV--/f_auto/v1722860399/public/Placeholder%2001","isAccessibleForFree":true,"articleSection":"Embedded.com","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Embedded.com","logo":"https://media.daily.dev/image/upload/s--oPypG_tz--/f_auto,q_auto/v1780213576/logos/embedded-com?_a=BAMAMiWQ0","url":"https://daily.dev/sources/embedded-com"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,robotics,embedded,local-ai","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Embedded.com","item":"https://daily.dev/sources/embedded-com"},{"@type":"ListItem","position":3,"name":"Aetina Launches Edge AI Systems for Robotics"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/aetina-launches-edge-ai-systems-for-robotics-sy50yf6ba#faq","mainEntity":[{"@type":"Question","name":"What are the specs of the Aetina AIE-KT78 edge AI system for robotics?","acceptedAnswer":{"@type":"Answer","text":"The AIE-KT78 is powered by the Nvidia Jetson T5000 module with 128GB of 256-bit LPDDR5X memory, delivering up to 2,070 FP4 TFLOPS of AI performance. It includes QSFP28 connectivity up to 4x25 Gbit/s, dual RJ45 10GbE ports, support for up to eight GMSL2 camera inputs, and a dedicated EtherCAT Master port for microsecond-level motor and actuator synchronization. Engineers specing robotics hardware can track new edge AI board releases like this one on daily.dev."}},{"@type":"Question","name":"What software stack runs on the Aetina AIE-KT78 and AIE-KT68 edge AI systems?","acceptedAnswer":{"@type":"Answer","text":"They run Linux with Nvidia's full AI software stack, including JetPack 7, CUDA, TensorRT, DeepStream, Holoscan, and Isaac ROS. This stack supports on-device multimodal generative AI, large language models, vision language models, and vision language action model execution for robotics perception and control. Developers building robotics AI pipelines can follow Jetson software stack updates on daily.dev."}}]} ```