Vantron Launches NVIDIA Jetson Orin and Intel Core AI Box PCs for Industry-Specific Edge Computing
Vantron Technology, a global provider of embedded IoT and edge computing solutions, has unveiled a new portfolio of expandable AI Box PCs powered by NVIDIA Jetson Orin and the latest Intel® Core™ platforms.
Vantron Technology, a global provider of embedded IoT and edge computing solutions, has introduced a new portfolio of expandable AI Box PCs powered by NVIDIA Jetson Orin and the latest Intel® Core™ platforms. Designed for mission-critical workloads, the lineup targets healthcare, transportation, industrial AI, and edge intelligence applications.
EPC-H610-H Medical AI Box PC
The EPC-H610-H is designed for demanding healthcare environments where accuracy, stability, and compliance are essential. It supports Intel® 12th/13th/14th Gen Core™ processors and features a PCIe slot for high-end AI accelerator cards. Designed to meet IEC60601 and ISO13485 requirements, its compact form factor and ergonomic handle enable easy integration into medical carts and mobile workstations.
VPC-R5744 In-Vehicle AI Box PC
Built for intelligent transportation and connected vehicles, the VPC-R5744 combines Intel® 12th/13th/14th Gen Core™ processing with ruggedized operation. It supports temperatures from -40°C to 70°C and features an IP50-rated enclosure. Four 2.5GbE PoE+ ports with secure M12 connectors, isolated CAN buses, DI/DO, and RS232/485/422 interfaces provide reliable connectivity. Its 9–60V DC wide-voltage input supports a range of commercial and heavy-duty vehicles.
IPC-JT Series NVIDIA Jetson Orin AI Box PCs
For compute-intensive edge AI, the IPC-JT Series delivers GPU-accelerated performance for machine vision, robotics, intelligent video analytics, AGVs, and smart traffic applications. The IPC-JT5316, powered by Jetson Orin NX, delivers up to 157 TOPS, while the IPC-JT5108 with Jetson Orin Nano provides up to 67 TOPS. With up to 1,024 CUDA cores and 32 Tensor cores, the systems are optimized for AI frameworks such as TensorFlow and PyTorch.
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