Displaying 52 containers
- LLM Cognitive RAG via vLLM on NVIDIA® Jetson Thor™
Unleash Blackwell power! Optimized for Advantech industrial edge hardware on NVIDIA Jetson Thor™, this vLLM-driven Cognitive RAG stack delivers ultra-low latency Edge AI out of the box.
- x86 WEDA Base Container
x86-ready environment with WEDA Library for Advantech hardware monitoring and control via Python. Ideal for developers building edge AI solutions.
WebOccult Intrusion DetectionA container-based solution designed to minimize manual effort and deliver quick, real-time detection of human presence in specified restricted areas, ensuring faster response and enhanced security.
Qualcomm QCS6490 Object DetectionEdge AI-ready with Qualcomm QCS6490, Advantech devices enable low-latency object detection via on-chip DSP and containerized DSP passthrough—perfect for smart inspection and logistics.
Intel iGPU OpenVINO Object DetectionEdge AI-ready container with Intel® iGPU + OpenVINO™ enables fast, power-efficient diabetic retinopathy detection on compact Advantech platforms—no discrete GPU needed.
- DeviceOn-EIM
Advantech DeviceOn-EIM is a web-based IIoT tool for remote device management, monitoring, and data visualization, boosting efficiency and cutting industrial operation costs.
- CUDA®-enabled x86 Container
Provides a ready-to-use base for Advantech x86 edge systems with GPU passthrough, GPU usage, hardware monitoring, and EdgeSync Device Library—perfect for AI-enabled applications.
Orbbec-Gemini-3DCameraAll-in-one Docker for Orbbec depth cameras: includes drivers, ROS 2 samples, RViz2 setup—ideal for fast testing and development on any Linux host.
- Ouster Gemini
Ouster Gemini is an AI LiDAR platform for real-time object detection, multi-sensor fusion, and 3D perception—optimized for Advantech TREK-60N/50N and available in the Container Catalog.
DEEPX NPU CLIP VLM SolutionDeploy CLIP/VLM on DEEPX DX-M1 for real-time multimodal AI. NPU-accelerated, low-power, multi-channel inference, integrated in Advantech IPC hardware for scalable AIoT deployment
FFNet Realtime Segmentation on Qualcomm® Hexagon™FFNet real-time semantic segmentation on Qualcomm Hexagon DSP, optimized for QCS6490 and IQ9 platforms, enabling efficient urban scene understanding with pixel-level perception for smart city street.
YOLO Vision Applications on AMD Ryzen™Deploy real-time Vision AI on Advantech industrial-grade AMD Ryzen™ platforms with optimized edge AI acceleration for smart inspection, analytics, and scalable AI at the edge.
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