IRVINE, Calif., Dec. 09, 2025 (GLOBE NEWSWIRE) -- Lantronix Inc. (NASDAQ: LTRX), a global leader in compute and connectivity IoT solutions powering Edge AI applications, will launch breakthrough new Edge AI solutions during CES 2026, taking place Jan. 6–9, 2026, in a suite at the Wynn Las Vegas. Appointments are by reservation only. To schedule an appointment, click here. “Lantronix is accelerating its leadership in the fast-growing Edge AI market with new embedded compute, surveillance, and autonomous syst ...

Core Insights - Advantech has launched a new lineup of Edge AI solutions powered by NVIDIA Jetson Thor modules, setting a new benchmark for edge AI performance with up to 2070 FP4 TFLOPS [1] - The solutions are designed for real-world applications in robotics, medical AI, and data AI, featuring integrated hardware-software platforms and application-specific tools [1][3] Group 1: Edge AI Solutions - The new Edge AI solutions include robotic controllers for humanoid robots, AMRs, and unmanned vehicles, providing real-time AI reasoning and inference with GPU-accelerated SLAM [2] - Advantech's robotic controllers support multi-camera GMSL, 2D/3D sensors, and IMUs, enabling rapid integration and deployment with features like hardware time sync and anti-vibration design [2] Group 2: Medical AI Systems - Advantech's medical AI systems leverage NVIDIA Jetson Thor and advanced SDKs to enhance real-time sensor processing and image analysis for surgical robotics and diagnostics [3] - The platforms aim for low latency and high precision, making them suitable for operating rooms and clinical workflows [3] Group 3: Data AI Systems - The AIR-075 system is designed for data AI applications, featuring powerful computing capabilities with 4× 10GbE and GMSL interfaces [4] - It integrates with NVIDIA AI technologies to enable sensor fusion and real-time predictive edge intelligence [4] Group 4: Container Solutions - Advantech Container Catalog (ACC) offers a range of ready-to-develop edge AI applications optimized for NVIDIA Jetson platforms [5] - The containerized architecture supports scalable edge AI expansion, facilitating development from single-node setups to distributed networks [5]