Displaying 10 containers
Container GPU PassthroughUnlock AI innovation with GPU passthrough–enabled container. Preloaded AI libs. No hardware or package worries—just build and deploy on Advantech Edge.
- x86 Platform with GPU Cards
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.
- x86 EdgeSync Base Container
x86-ready environment with EdgeSync Library for Advantech hardware monitoring and control via Python. Ideal for developers building edge AI solutions.
- GPU Accelerated LLM Langchain AI Agent
GPU accelerated LLM AI Agent—powered by LangChain, OpenWebUI & DeepSeek LLAMA3.2-1B via Ollama. Full GPU acceleration for smart, on-device automation
- GPU Accelerated LLM Langchain
GPU Accelerated LLM Langchain Container offers a modular, accelerated AI chat stack for Advantech GPU-accelerated devices using Ollama with multiple LLM models compatible, such as Llama 3.2 1B, FastAP
Rockchip RK3588 Object DetectionRun real-time, low-latency object detection at the edge with Rockchip RK3588’s NPU—boosting efficiency, privacy, and AI performance for smart, scalable applications.
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.
Edgelink DockerEdgeLink facilitates protocol conversion and secure connections. it seamlessly connects over 200 types of OT devices with the cloud, ensuring a robust link between them.
- Object Detection accelerated by GPU
Accelerated by Advantech platforms with GPU container passthrough enables high-speed vision AI for robotics, inspection, and real-time smart factory tasks.
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