Taiwanese firm VIA Technologies has launched two NVIDIA Jetson-powered systems: the VIA AMOS-9100 for Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs); and the VIA AMOS-9000 for factory safety and automation.

Both are designed to provide advanced AI performance, robust connectivity, and durability for industrial automation and edge AI applications.

The VIA AMOS-9000 is built for factory safety, automation, and inspection tasks, and is designed to provide a reliable platform for industrial applications. It features the NVIDIA Jetson Orin Nano Hexa-Core processor with up to 40 TOPS of AI performance and supports a range of digital I/O options for versatile connectivity.

The system includes video processing capabilities such as 4K video decoding and 1080p encoding, making it suited for machine vision, monitoring, and visual inspection tasks. The VIA AMOS-9000 offers dual RS-232/422/485 COM ports for integration with industrial equipment, enabling efficient communication and control in complex operational environments.

The VIA AMOS-9100 is designed for Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs). Powered by the 2.0 GHz NVIDIA Jetson Orin NX processor, it delivers up to 70 TOPS of AI performance using the NVIDIA Deep Learning Accelerator (NVDLA), enabling efficient handling of data-intensive workloads.

The system supports video processing capabilities including 8K video decoding and 4K encoding, and offers connectivity options such as optional LoRa wireless connectivity for long-range communication. Dual Gigabit Ethernet ports with optional Power over Ethernet (PoE) support integration with diverse industrial networks and infrastructure.

“The VIA AMOS-9000 and VIA AMOS-9100 Edge AI PCs are designed to meet the evolving demands of industrial edge AI and autonomous systems,” said Epan Wu, General Manager, VIA Intelligent Solutions. “With their powerful AI performance, rugged design, and versatile connectivity, these systems provide a reliable platform for applications ranging from factory safety to enabling autonomous mobile robots (AMRs) and automated guided vehicles (AGVs).”