The Wallys AI Edge AI Solution 70 TOPS Edge Computing Gateway is a high-performance, industrial-grade edge computing platform tailored for industrial intelligent upgrading, real-time artificial intelligence inference, high-precision video analysis, and mission-critical Internet of Things (IoT) application deployment. Against the backdrop of booming industrial digitization and edge intelligence, traditional cloud computing architectures are increasingly constrained by network latency, bandwidth limitations and data security risks in industrial and smart scenario applications. This Wallys edge computing gateway effectively solves the pain points of cloud-dependent AI systems, delivering stable, efficient and autonomous local computing capabilities for various complex edge scenarios, and has become a core hardware carrier for integrating artificial intelligence, IoT perception and industrial control systems.Powered by NVIDIA’s mature and advanced computing architecture, this edge AI hardware boasts a peak AI computing performance of 70 TOPS, enabling full local offloading of AI computing tasks. Different from cloud computing modes that rely on network transmission and remote scheduling, the device completes data analysis, model inference and intelligent decision-making directly at the edge of the business scene, completely eliminating computing delay caused by cloud interaction. Its excellent real-time response capability, operational stability and autonomous working mode make it highly adaptable to high-demand application scenarios that require ultra-low latency, high reliability and independent operation, covering smart city construction, industrial automated production, open-pit mining and heavy industry operation, intelligent transportation system management, and full-scene intelligent security surveillance networks.The product adopts a professional heterogeneous computing architecture with balanced performance and power consumption, building a solid hardware foundation for complex deep learning computing tasks. At its core, it is equipped with a 384-core NVIDIA Volta GPU architecture integrated with 48 Tensor Cores, which delivers powerful parallel processing performance and can efficiently support large-scale deep learning model operation and intensive AI inference workloads. Cooperating with a dual-core NVIDIA Denver 64-bit CPU and a quad-core Arm Cortex-A57 multi-core processor, the platform realizes optimal allocation of computing resources. The GPU undertakes high-load AI algorithm calculation, while the CPU is responsible for system operation control, edge device management and application program scheduling, forming a collaborative computing mechanism that balances AI inference efficiency, system stability and application expandability.To cope with high-throughput data processing demands in intelligent scenarios such as multi-camera video streaming and multi-sensor data fusion, the gateway is configured with 8GB 128-bit LPDDR5 high-speed memory, with a peak memory bandwidth up to 68 GB/s. The high-bandwidth memory design ensures unobstructed real-time transmission and rapid processing of massive data streams, effectively avoiding data congestion, frame dropping and processing delay during simultaneous analysis of high-definition videos, multi-channel surveillance images and real-time sensor data. It maintains stable and efficient operating status even under long-term high-load working conditions, fully meeting the continuous and stable operation requirements of industrial-grade equipment.In terms of storage configuration, the product adopts a design combining fixed onboard storage and flexible expandable storage, fully adapting to diverse business storage needs. It comes with 16GB eMMC 5.1 high-reliability onboard storage as standard, which is used for system program storage, basic model deployment and system operation log recording, ensuring fast system startup and stable program operation. Meanwhile, it supports flexible SSD expansion, providing three optional specifications of 128GB, 256GB and 512GB. Users can freely match storage space according to actual business scenarios, such as long-term video recording and storage in surveillance scenarios, real-time dataset caching in algorithm training scenarios, and multi-model deployment storage in multi-task intelligent analysis scenarios, greatly improving the product’s scenario adaptability and functional scalability.In terms of network deployment, the Wallys 70 TOPS edge computing gateway supports diversified wireless networking solutions, breaking the deployment limitations of traditional wired network equipment. It provides flexible network configuration options including optional independent WiFi module, optional 4G LTE cellular network connectivity, and integrated WiFi + 4G dual wireless solution. The diversified network design enables the device to adapt to both fixed indoor scenarios with stable wired network support and remote outdoor scenarios with insufficient or no wired infrastructure coverage. It can achieve stable network data transmission and remote device management in complex environments such as outdoor open spaces, mining areas, roadside facilities and remote industrial parks, greatly expanding the application boundary of edge intelligent equipment.Equipped with comprehensive and powerful edge AI algorithm capabilities, this platform supports full-process intelligent analysis from data collection to decision-making output. Its core AI functions include real-time multi-stream video synchronous processing, high-precision target detection and multi-target tracking, human behavior recognition and abnormal event intelligent identification, as well as automatic intelligent alarm and event trigger response. Relying on local edge computing capabilities, the device can complete independent AI decision-making without cloud assistance, realizing true offline intelligent operation, which effectively improves the timeliness of scenario response and the autonomy of system operation.Benefiting from its superior hardware performance and functional design, the product covers a wide range of typical industrial and intelligent application scenarios, including smart city integrated surveillance systems, mining and heavy industry intelligent automation equipment, urban intelligent transportation scheduling systems, industrial IoT and smart factory full-process monitoring, outdoor remote infrastructure intelligent operation and maintenance, regional security perimeter protection, as well as intelligent robot and autonomous equipment control. It can provide customized edge intelligent computing solutions for different industries.Compared with traditional cloud-based AI systems, the Wallys edge AI solution has core competitive advantages in latency control, data security and operating cost. Local edge processing avoids massive raw data uploads to the cloud, effectively reducing network bandwidth consumption and long-term operation costs. Meanwhile, local data processing and analysis prevent core business data and scenario data from being transmitted externally, greatly reducing the risk of data leakage and improving industrial data security. In addition, the ultra-low-latency local computing mode ensures millisecond-level response of intelligent decisions, meeting the real-time control requirements of mission-critical industrial scenarios.This industrial-grade edge computing gateway is specially designed for developers, system integrators and industrial original equipment manufacturers (OEMs). It features stable operation, strong scalability and high environmental adaptability, and can operate continuously and stably in harsh industrial environments and high-standard mission-critical scenarios. With its powerful GPU heterogeneous computing architecture, flexible network and storage expansion capabilities, and reliable industrial-grade performance, the product effectively connects cloud intelligent scheduling and real-scene edge execution, builds a high-efficiency, safe and autonomous cloud-edge collaborative intelligent computing system, and provides solid hardware support for the comprehensive popularization of industrial edge intelligence and urban digital transformation.