The AI landscape continues to shift rapidly, reshaping how we live, work, and engage with technology. At the forefront of this transformation is generative AI, which touches everything from entertainment and fashion to software development and customer service. Among its most transformative innovations are LLMs (Large Language Models), pre-trained on massive datasets to enable translation, summarization, and text generation. These technologies are already reshaping sectors such as smart retail – enhancing customer experiences and delivering deeper operational insights – and smart cities, where they are being used to improve public safety through advanced surveillance and data analysis.
To empower retailers and other AI-enthusiastic businesses in staying competitive and future-ready, NEXCOM proudly unveils its newest Edge AI computer: the AIEdge-X®310. This latest addition to our Edge AI computing family is engineered for flexibility, performance, and scalability. Users can configure their system with a powerful mix of Intel® Core™ CPUs and NVIDIA GPUs tailored to AI applications in retail, healthcare, public safety, and beyond. With versatile I/O connectivity and adaptable expansion options, this high-performance computing solution is ready to handle the considerable demands of LLM processing, real-time analytics, and AI inference at the edge.
The AIEdge-X®310 is purpose-built for Edge AI retail and Edge AI security. Its LLM capabilities enhance self-service kiosks, autonomous mobile robots (AMRs), and smart surveillance systems to create smarter, safer, and more responsive environments.
Kiosks integrated with LLMs can deliver personalized assistance, helping shoppers navigate stores more intuitively. AMRs can escort customers directly to products, streamlining the in-store journey and improving satisfaction.
Smart surveillance, powered by connected IP cameras, enables users to analyze the behavior of shoppers and large crowds, monitor foot traffic, and detect suspicious activity in real time. These insights help optimize merchandising, streamline operations, and enhance safety. Public safety professionals can also leverage these capabilities to identify unattended items or detect pedestrians in restricted zones. Beyond retail and security, LLM technology supports use cases such as data mining, 3D modeling, and healthcare management — the possibilities are virtually limitless.
High-performance AI tasks demand top-tier processing capabilities. That’s why the AIEdge-X®310 offers a customizable lineup of Intel® Core™ CPUs and NVIDIA GPUs. Choose from 14th, 13th, or 12th generation Intel® Core™ processors — including i9, i7, i5, and i3 — in either 65W or 35W configurations. For tasks requiring robust performance and multitasking, the Intel® Core™ i9-14900 (65W) stands out for its speed, availability, and long-term support.
On the GPU side, select from NVIDIA’s GeForce RTX, Quadro, or RTX series to meet your specific AI deployment goals. For use cases such as computer vision, smart surveillance, or AI inference, the GeForce RTX (including the RTX 50 series) offers a strong balance of performance and value. For more demanding workloads like AI model training and real-time analytics, where accuracy and long-term stability are critical, the Quadro and RTX lines deliver enterprise-grade reliability for your AI GPU computer.
Designed with rich I/O capabilities, the AIEdge-X®310 seamlessly integrates into smart retail and industrial ecosystems. Dual LAN ports allow main/backup network configurations for higher reliability, segmentation of internal and external traffic to enhance information security, and simultaneous cloud platform access for secure, centralized management. To serve as an AI vision system, multiple USB 3.2 and 2.0 ports support IP camera integration for live monitoring and video analytics (e.g., people counting, behavior detection), along with environmental sensors for real-time temperature and air quality tracking. Serial ports provide connectivity for card readers used in access control, membership programs, and payment processing.
The system includes up to three full-size expansion slots to further extend its AI functionality. For example, users may install two GPU cards and either a PoE module for IP cameras or sensors – or a high-speed LAN card to enhance networking. A reinforced, adjustable GPU bracket protects installed graphics cards, maintaining stability even in harsh operating conditions.
Industrial AI computing system at the Edge, powered by 14th/13th/12th Gen Intel® Core™ processor