Core Insights - Lantronix Inc. is set to launch new Edge AI solutions at CES 2026, showcasing its advancements in compute and connectivity IoT solutions for Edge AI applications [1][2] Company Developments - The company is enhancing its leadership in the Edge AI market with new embedded compute, surveillance, and autonomous systems solutions [2] - CEO Saleel Awsare emphasized the importance of collaboration with technology leaders like Qualcomm, Teledyne Flir, and Vodafone to deliver high-performance Edge AI solutions [2] - Lantronix will provide demonstrations of its new Edge AI solutions aimed at real-time decision-making in high-growth industries during CES [3] Strategic Impact and Market Opportunity - The edge computing market is expected to experience exponential growth, positioning Lantronix to benefit from the increasing demand for distributed AI processing [4] - Analysts predict a rapid shift of enterprise data processing towards the edge, driven by the need for real-time AI and distributed intelligence [4] - Lantronix's AI-at-the-edge solutions are gaining traction across various sectors, including autonomous systems, critical infrastructure, and industrial AI applications, which supports a long-term shift towards higher-value, recurring-revenue Edge AI offerings [4] Product Innovations - The company is introducing new System-on-Module (SOM) solutions powered by Qualcomm chipsets, designed for demanding AI workloads [7] - An integrated Smart Surveillance Gateway and Smart PoE/LV Switches will create a comprehensive AI-driven video analytics platform for enterprise and industrial use [7] - New compute solutions for robotics and UAVs are being developed on the latest Qualcomm processors to support autonomous platforms [7] Industry Applications - Lantronix is involved in advanced decision-making and data optimization for drones, including support for the U.S. Army's Short-Range Reconnaissance drone program [8] - The company is enabling remote management of power and communications assets in smart cities through edge boxes for a global mobile network operator [8] - Intelligent event detection and real-time alerts are being implemented to reduce bandwidth and storage needs for enterprises and security companies [8] Company Overview - Lantronix Inc. is recognized as a global leader in Edge AI and Industrial IoT solutions, providing intelligent computing, secure connectivity, and remote management for mission-critical applications [9] - The company serves high-growth markets such as smart cities, enterprise IT, and unmanned systems, helping customers optimize operations and accelerate digital transformation [9]

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]