Advantech Edge AI: Nvidia Jetson Thor Robotics & Medical Solutions

Each solution comes with application-specific hardware platforms, pre-integrated with JetPack 7.0, remote management tools, and vertical software suites such as Robotic Suite and GenAI Studio.

Advantechthe global leader in edge computing, has unveiled a new series of application-centric, module-based Edge AI solutions Nvidia Jetson Thor. The Nvidia Jetson Thor series has set a new benchmark for edge AI, delivering up to 2070 FP4 TFLOPS of AI performance, as well as significant improvements in CPU performance and power efficiency. These advancements make Nvidia Jetson Thor the ideal platform for customers looking to integrate AI and application workloads directly at the edge.

Advantech brings this power to real-world applications through integrated hardware-software solutions aimed at robotics, medical AI and data AI. Each solution comes with application-specific hardware platformspre-integrated with JetPack 7.0, remote management tools, and vertical software suites such as Robotic Suite e GenAI Studio. Built on a container-based architecture, these solutions offer greater flexibility and faster development cycles. In addition to providing Nvidia Jetson Thor boards, systems and software design services for vertical solutions, Advantech works closely with ecosystem partners on key technologies such as sensor and camera integration and thermal design. This holistic approach enables developers to build and deploy edge AI applications faster, easier, and more efficiently, delivering a powerful, seamless AI experience.

Robotic controllers for humanoid robots, AMRs and unmanned vehicles

ASR-A702 and AFE-A702 are robotic controllers designed specifically for humanoidsAMR and unmanned vehicles. They offer real-time AI reasoning and inference with GPU-accelerated SLAM, supporting multi-camera GMSL, 2D/3D sensors and IMUs. Thanks to Robotic Suite for plug-and-play development, as well as Isaac ROS/Sim and Holoscan for real-time perception and ultra-low latency data streams, they enable rapid integration and deployment. Key features include hardware time synchronization, ESD protection, anti-vibration design and OTA updates, ensuring stable, secure and high-performance computing for intelligent logistics, service robotics and mission-critical unmanned applications.

Medical artificial intelligence systems for surgical robots, image analysis and diagnostics

Leveraging Nvidia Jetson Thor with advanced SDKs such as Holoscan and MONAI, Advantech powers the AIMB-294 next-generation medical AI board and EPC-T5294 system. These platforms accelerate real-time sensor processing, image analysis and AI streaming pipelines, optimization of pre-trained models and 3D imaging, and focus on low-latency, high-accuracy surgical robotics for operating rooms, clinical workflows, and intelligent diagnostic tools.

Data AI systems for VLM/LLM and multi-camera AI vision analysis

AIR-075 offers powerful processing with 4 10GbE and GMSL interfaces to meet data AI demands in traffic and factory applications. Combined with Nvidia AI, Nvidia Metropolis, Nvidia Triton, Nvidia Cosmos Reason, and Advantech Edge AI SDK & DeviceOn, it enables sensor fusion, multi-model inference, visual AI agent, and centralized management for real-time and predictive edge intelligence.

Related Posts

Leave a Comment