Advantech outlines a coherent edge-AI roadmap spanning NVIDIA Jetson Thor, Qualcomm Dragonwing IQ9, AMD Ryzen Embedded, Intel Core Ultra and NXP i.MX families, with systems and dev kits positioned for on-prem inference, robotics control and machine vision. Their AIR-075 and EPC-class edge computers target high-throughput LLM and multimodal inference at the edge, while new carrier boards accept Thor-series modules and expose high-bandwidth camera and field I/O for deterministic pipelines. The emphasis is on keeping data local for latency, privacy and cost control, with SKUs tuned for FP4/FP8 AI math, CUDA/TensorRT acceleration, and mixed-precision workloads across GPU, NPU and CPU paths. https://www.advantech.com/
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From robotics to medical imaging and industrial inspection, Advantech highlights a broad set of use cases that benefit from tight sensor-to-compute integration and time-sensitive control loops. The robotics inference and development kit bundles GMSL/MIPI camera inputs, synchronized machine-vision capture and a modular carrier so teams can prototype AMRs, autonomous shuttles or surgical assistance systems with a clear path from POC to deployment. Developers can start with pre-integrated drivers and SDKs, then scale to custom carrier boards or ruggedized enclosures without rewriting the software stack for production readiness
A second track focuses on ARM-based edge AI using Qualcomm’s Dragonwing IQ9 platform inside compact AIR-055 class boxes. This brings on-device AI up to triple-digit TOPS with Hexagon NPU operators, high-efficiency Kryo CPU cores and CSI-2/GMSL camera ingress for vision AI in tight power envelopes. Paired with the Edge Impulse toolchain, the kits accelerate dataset iteration, operator selection and deployment of quantized models for tasks like anomaly detection, OCR, pallet counting, or worker-safety analytics in facilities with constrained connectivity and strict data-retention policies
Advantech also shows x86 and heterogeneous options when discrete GPUs aren’t practical. Ryzen Embedded 8000 demonstrates CPU, integrated GPU and NPU concurrency for multimedia pipelines and classic CV, while 12th-to-14th-gen Intel systems add MXM form-factor GPUs when PCIe slots are limited. For customers standardizing on SOMs, Advantech’s ecosystem covers solder-down OSM modules and “goldfinger” boards, easing thermal design and lifecycle management across performance tiers and chassis constraints in field deployments
Filmed at Embedded World North America, the discussion underscores how partners like NVIDIA and Qualcomm inform Advantech’s reference designs, software enablement and early access programs. The through-line is platform breadth plus vertical focus: camera-rich dev kits for autonomy, air-gapped inference boxes for regulated environments, and configurable I/O for brownfield industrial lines, all aiming to shorten the distance from lab demo to robust, maintainable edge systems in production
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