Edge AI Boxes 
AI Box KM-ES3
Edge AI Computing Box powered by Rockchip RK3588 / RK3576 SoC with 6 TOPS NPU, Multi-Modal AI Deployment, and Flexible Industrial Expansion
Edge AI Computing Box powered by Rockchip RK3588 / RK3576 SoC with 6 TOPS NPU, Multi-Modal AI Deployment, and Flexible Industrial Expansion
A dedicated neural processing unit delivers 6 TOPS of mixed-precision AI acceleration, executing computer vision, large language models, vision-language models, and speech AI workloads entirely at the edge. On-device inference eliminates cloud round-trip latency, reduces bandwidth consumption, and keeps sensitive data within the local network — enabling real-time AI decision-making for industrial automation, surveillance, and privacy-regulated environments.
Deploy YOLO-series object detection, DeepSeek and Qwen family LLMs, vision-language models for scene interpretation, and Whisper-based speech-to-text on a single compact device. This multi-modal convergence allows system integrators to build intelligent endpoints — from voice-controlled inspection robots to visual question-answering kiosks — without provisioning separate hardware for each AI modality.
A companion AI deployment platform provides over 100 pre-optimized AI models, a streamlined model conversion pipeline from ONNX to NPU deployment, step-by-step tutorials, and community-supported project examples. Developers move from trained model to edge deployment in minutes rather than days, eliminating the environment setup, framework compatibility, and performance tuning barriers that typically stall edge AI projects.
M.2 interfaces support NVMe SSD storage and additional AI accelerator modules, scaling total system AI performance up to 26 TOPS. MiniPCIe expansion accommodates 4G LTE, LoRaWAN, and Wi-Fi HaLow modules for remote and industrial connectivity. USB 3.0, HDMI 2.0 multi-display output, and onboard WiFi 6 with Bluetooth 5.4 provide the I/O flexibility to adapt a single hardware platform across diverse deployment requirements.
Hardware-accelerated video pipeline supports up to 8K decoding and encoding alongside simultaneous multi-display output. This high-throughput multimedia capability enables real-time multi-camera video analytics, digital signage with AI overlay, and large-scale visual inspection systems — processing multiple high-resolution streams on a single low-power edge device.
Official Armbian collaboration delivers long-term maintained system images with security updates, OTA support, and encrypted OS options out of the box. Full compatibility with Debian, Ubuntu, and Android ensures developers can choose their preferred Linux distribution and toolchain. An edge AI software ecosystem backed by an active developer community provides sustained platform evolution beyond proprietary lock-in, protecting the customer's software investment across hardware generations.
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