9 docs tagged with "Edge AI"

Step-by-step guide to deploying DeepSeek-R1 Large Language Model on NeoEdge NG4500 using Ollama. Enable offline AI inference with high privacy and low latency on Jetson Orin.

Comprehensive development guide for the NeoEdge NG4500-CB01 carrier board. Includes hardware specs, interface details, and software resources for Jetson Orin.

Deploy "Fighting & Falling" AI models using NeoEdge AI BOX, VMS, and IPC. Learn system architecture, firmware installation, and VMS event configuration for edge safety.

NE301 Model Converter is a zero-code end-to-end model conversion platform that automatically converts PyTorch/YOLO models to NE301 edge device compatible .bin format through Docker one-click deployment, with real-time progress feedback and intelligent OOM recovery.

NeoMind is an edge AI platform powered by Large Language Models (LLM), supporting local deployment, device management, automation control, and AI conversations. This guide will help you quickly complete installation, configuration, and core feature usage.

Deploy and configure Nx Meta VMS on NVIDIA Jetson Orin. Learn server/client setup, RTSP streaming, AI detection events, and Teachable Machine integration for edge AI.

Deploy YOLOv11 on NeoEdge NG4500 for real-time object detection. Optimize inference using TensorRT and DLA on NVIDIA Jetson Orin for high-speed edge AI applications.

Discover NeoEdge NG4500, a high-performance edge AI gateway powered by NVIDIA Jetson Orin. Optimized for LLM, VLM, and industrial AIoT applications with JetPack 6.0.

Learn how to use CamThink's AI Tool Stack with NeoEyes NE301 for end-to-end model development. Covers data collection, annotation, training, and quantization.