en.Wedoany.com Reported - On June 1, ZPE Systems, a subsidiary of France's Legrand, launched the Nodegrid Net Services Router 2U at Cisco Live 2026 in Las Vegas, USA, and simultaneously released the NVIDIA Jetson AI expansion card for the NSR platform. This platform integrates routing, network services, out-of-band management, edge AI acceleration, and computing capabilities into a single system, targeting the infrastructure operational needs of distributed enterprises, data centers, service providers, and remote sites.
As enterprises continue to shift AI workloads from centralized cloud platforms to edge sites, network operations are facing more complex device combinations, more remote nodes, and higher requirements for continuous operation. Traditional edge network environments typically require separate deployment of routing devices, switching devices, out-of-band management devices, computing nodes, and independent AI inference hardware, leading to increased costs in system integration, fault recovery, on-site maintenance, and power and space. The NSR 2U launched by ZPE Systems adopts a modular x86 platform, aiming to integrate high-performance switching, security services, WAN optimization, containerized applications, and out-of-band access into a unified device. Its 2U architecture offers 10 expansion slots, enhanced computing capabilities, and a next-generation switching fabric, allowing enterprises to combine network, computing, and management functions based on their site needs, reducing over-provisioning and multi-device stacking. For cross-regional retail stores, industrial sites, data center edge nodes, and service providers, the value of such integrated edge network devices lies in improving the manageability and controllability of remote sites, ensuring that even if the primary network fails, devices remain accessible, recoverable, and auditable via out-of-band management links.
The NVIDIA Jetson AI expansion card is available for the NSR and NSR 2U platforms, enabling customers to run AI inference, anomaly detection, predictive maintenance, network optimization, and event correlation tasks directly at the edge.
This product launch indicates that information and communication devices are evolving from simple "connectivity devices" toward an integrated platform of "network, computing, AI, and operational recovery capabilities." In the past, edge network construction focused more on bandwidth, ports, routing protocols, and remote management. Now, AI applications bring new local processing needs, where video, sensors, telemetry data, and operational logs may not all be uploaded to the cloud for processing but require preliminary inference and automated responses near the data source. By combining edge AI acceleration with network operations, the NSR 2U helps site-side devices handle both connectivity tasks and local intelligent analysis, reducing cloud dependency, latency, and the complexity of external server configuration. For data centers and distributed enterprises, edge networks will no longer be mere extension nodes of the headquarters network but will become front-end infrastructure supporting AI workloads, automated operations, and business continuity. Future competition will focus on device open interfaces, platform compatibility, AI module capabilities, remote lifecycle management, and multi-site centralized operational efficiency.
ZPE Systems stated that the NSR 2U and NVIDIA Jetson expansion card will help enterprises integrate network, intelligence, and recovery capabilities into a single platform. As demand for AI data centers, edge computing, and automated network operations continues to grow, edge network devices will become a key direction for upgrading information and communication infrastructure. Whether related products can reduce deployment complexity and improve fault recovery capabilities will impact the speed at which enterprise AI applications expand into distributed scenarios.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
