NEXCOM is deeply committed to delivering rugged edge computing platforms that expedite the deployment of AI inference in harsh. Build with NVIDIA Jetson™ modules, NEXCOM offers a wide-ranging product portfolio that caters to various application needs, providing AI performance ranging from 20 TOPS to 275 TOPS. Whether it’s enabling intelligent transportation, improving public safety, maximizing production efficiency, predicting abnormal asset condition or optimizing patent recognition, NEXCOM’s diverse selection of Jetson™ modules with integrated industrial interfaces plays a pivotal role in deploying AI workload across multiple industries in field. Their dedication to providing top-tier edge AI solutions ensures that businesses can harness the full performance of AI models with efficiency and value-conversion at the forefront.
Extensive Product Line Up
NEXCOM offers a diverse range of options, including devices powered by NVIDIA®Jetson AGX Orin™, Jetson Orin™ NX, Jetson Xavier™ NX, Jetson Orin™ Nano, andJetson™ TX2, providing flexibility and scalability to meet various AI performance inmodel training or inference tasks.
Designed for Harsh Environment
With a wide temperature range (OT -20/-30°C~70°C) and an IP67 rating (on selected models), NEXCOM’s Edge AI platforms excel in critical missions and throughout their life cycle.
Unleashing the Potential of Software-Defined Controller
In every Edge AI platforms with Jetson modules, NEXCOM offers NEXCOMAccelerator Linux (NAL), an optimized Ubuntu 20.04 LTS derived from the Jetpack SDK. Programmers can access the pre-approved 5G, Wi-Fi, GNSS, IMUand even CAN bus, MCU, I/O interfaces, power management module and more peripherals through in-house design utility and APIs. The physical signals from peripherals and sensors can be used as data sources for AI inference engine, requiring limited know how of hardware installation and configuration.
Enabling Cloud and Container Technologies
The NAL can run containers for AI inference engine, IoT connectivity, datasets storage, ETL, and other applications as microservices in edge deployment. By installing the IoT/Cloud agent, the developers can deploy containers from Cloudservice using OTA (Over the Air) technologies.
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