Edge AI solutions accelerated by NVIDIA Jetson Thor unveiled

Advantech has introduced a new lineup of application-focused Edge AI solutions powered by NVIDIA Jetson Thor modules. The NVIDIA Jetson Thor series set a new benchmark for edge AI, delivering up to 2070 FP4 TFLOPS of AI performance, along with significant improvements in CPU performance and energy efficiency. These advancements make NVIDIA Jetson Thor the perfect platform for customers integrating AI and application workloads at the edge.

The company brings this power to real-world applications through hardware–software integrated solutions targeting robotics, medical AI, and data AI. Each solution features application-specific hardware platforms, pre-integrated with JetPack 7.0, remote management tools, and vertical software suites such as Robotic Suite and GenAI Studio. Built on a container-based architecture, these solutions offer greater flexibility and faster development cycles. As well as providing NVIDIA Jetson Thor boards, systems, and software design-in services for vertical solutions, the company collaborates closely with ecosystem partners on key technologies such as sensor and camera integration, as well as thermal design. This holistic approach empowers developers to build and deploy edge AI applications faster, more easily, and more efficiently, delivering a seamless and powerful AI experience at the edge.

ASR-A702 and AFE-A702 are purpose-built robotic controllers for humanoids, AMRs, and unmanned vehicles. They deliver real-time AI reasoning and inference with GPU-accelerated SLAM, supporting multi-camera GMSL, 2D/3D sensors, and IMUs. With Robotic Suite for plug-and-play development, plus Isaac ROS/Sim and Holoscan for real-time perception and ultra-low latency data flows, they enable rapid integration and deployment. Key features include hardware time sync, ESD protection, anti-vibration design, and OTA upgrades, ensuring stable, safe, and high-performance computing across smart logistics, service robotics, and mission-critical unmanned applications.

Medical AI Systems for Surgical Robot, Image Analysis, and Diagnostics

By leveraging NVIDIA Jetson Thor with advanced SDKs such as Holoscan and MONAI, Advantech empowers next-generation Medical AI board AIMB-294 and system EPC-T5294. These platforms accelerate real-time sensor processing, image analysis & streaming AI pipeline, pre-trained model and 3D imaging optimisation, and surgical robotics focus with low latency and high precision for operating rooms, clinical workflows, and intelligent diagnostic tools.

AIR-075 delivers powerful computing with 4× 10GbE and GMSL interfaces to satisfy Data AI demands in traffic and factory applications. Combined with NVIDIA AI, NVIDIA Metropolis, NVIDIA Triton, NVIDIA Cosmos Reason, and Advantech Edge AI SDK and DeviceOn, it allows sensor fusion, multi-model inference, a visual AI agent and centralised management for real-time, predictive edge intelligence.

Advantech Container Catalogue (ACC) delivers a cluster of ready-to-develop edge AI applications, including end-to-end computer vision and Edge LLM environments optimisedoptimised for AI agent integration on NVIDIA Jetson platforms. It also offers domain-specific solutions from ecosystem partners, such as robotics perception, surgical imaging, healthcare, and smart city sensing, enabling rapid deployment across industrial and vertical markets. Fully compatible with WEDA (WISE-Edge Developer Architecture), its containerised architecture enables scalable edge AI expansion, from single-node setups to distributed edge networks.