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NEXCOM Launches Fanless Railway Computer Platform
The computers are designed for artificial intelligence analytics, mobile video surveillance, and passenger connectivity in railway rolling stock.
www.nexcom.com
NEXCOM has launched the rROK 5520 Series, a family of 19-inch 2U fanless rackmount computers engineered for next-generation railway applications. Equipped with front-access, single-sided I/O, the hardware platform is powered by Intel Core Ultra Processors (Series 2) and supports optional NVIDIA RTX Ada MXM GPUs to manage onboard AI analytics, connectivity, and video processing across rolling stock operations.
Hardware Architecture and Targeted System Variants
The rROK 5520 Series features a fanless 19-inch 2U rackmount layout with front-accessible interfaces to streamline maintenance routines, simplify cable routing, and eliminate fan-related mechanical failures caused by continuous shock, vibration, and dust ingress. The platform is available in two specialized product configurations tailored for specific rolling stock applications:
- rROK 5520-WI High-Bandwidth Wireless Gateway: Designed for passenger connectivity and train-to-ground communications, this model supports up to four LTE/5G modules, three WLAN modules, and 16 SIM card slots. Its multi-modem architecture enables dynamic bandwidth aggregation, cellular carrier redundancy, and network switching to sustain wireless throughput across varying line conditions. It serves passenger Wi-Fi systems, train-to-ground data links, and onboard backbone networks.
- rROK 5520-WIC7S Mobile AI NVR Platform: Configured for AI-driven video surveillance and security workflows, this variant incorporates seven M12 Power-over-Ethernet (PoE) ports, supports up to eight removable SSDs, and integrates optional NVIDIA RTX Ada MXM GPU acceleration. The processing and storage capabilities target video surveillance, rear-view tracking, coupler status inspection, safety monitoring, and intelligent incident analytics.
Onboard Infotainment, Edge Computing, and Tiered Storage Architecture
Beyond wireless gateway and video management roles, the rROK 5520 platform functions as an onboard infotainment server and edge computing data center. The system supports up to eight removable SSDs, optional dual-port 10GbE SFP+ expansion modules, and NVMe solid-state storage to handle high-speed backbone routing, media streaming, and local data processing.
To process large volumes of operational data generated by onboard systems, the computer utilizes a hybrid storage structure pairing high-speed NVMe storage with multiple SATA SSDs. Frequently accessed hot data is routed directly through NVMe channels for low-latency AI inference and machine vision processing, while processed or archival cold data is transferred to high-capacity SATA SSD arrays. Integrated RAID 0, 1, 5, and 10 configurations provide redundant data protection and system availability for mission-critical rail operations.
AI Vision Processing and Electrical Specifications
When configured with NVIDIA RTX 2000 or RTX 3500 Ada MXM GPU modules, the rROK 5520 platform executes AI computer vision algorithms for rail safety tasks. Supported workloads include railway track condition monitoring, pantograph wear inspection, obstacle identification, wayside sign recognition, and network signal quality analysis.
The physical chassis operates across an industrial temperature range from -40°C to 70°C and accepts a wide-range 24V to 110V DC isolated power input, complying with EN 50155 (OT4) operational and EN 45545-2 fire protection standards for railway rolling stock.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
Beyond wireless gateway and video management roles, the rROK 5520 platform functions as an onboard infotainment server and edge computing data center. The system supports up to eight removable SSDs, optional dual-port 10GbE SFP+ expansion modules, and NVMe solid-state storage to handle high-speed backbone routing, media streaming, and local data processing.
To process large volumes of operational data generated by onboard systems, the computer utilizes a hybrid storage structure pairing high-speed NVMe storage with multiple SATA SSDs. Frequently accessed hot data is routed directly through NVMe channels for low-latency AI inference and machine vision processing, while processed or archival cold data is transferred to high-capacity SATA SSD arrays. Integrated RAID 0, 1, 5, and 10 configurations provide redundant data protection and system availability for mission-critical rail operations.
AI Vision Processing and Electrical Specifications
When configured with NVIDIA RTX 2000 or RTX 3500 Ada MXM GPU modules, the rROK 5520 platform executes AI computer vision algorithms for rail safety tasks. Supported workloads include railway track condition monitoring, pantograph wear inspection, obstacle identification, wayside sign recognition, and network signal quality analysis.
The physical chassis operates across an industrial temperature range from -40°C to 70°C and accepts a wide-range 24V to 110V DC isolated power input, complying with EN 50155 (OT4) operational and EN 45545-2 fire protection standards for railway rolling stock.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
