Industrial news

Advantech is pleased to announce its new lineups powered by the latest Intel® Atom® Processor x7000RE Series.

These products offer power-efficient performance and scalability from two to eight cores. This lineup includes single-board computers (SBCs), computer-on-modules (COMs), and motherboards, specifically designed for rugged environments, they excel in reliability across extreme temperatures from -40 to 85°C. Furthermore, Advantech's comprehensive integration of software, OS, and Design-In services maximizes the capabilities of edge applications.

Power-efficient performance

The latest Intel Atom® Processor x7000RE Series, built on cutting-edge 7nm technology, delivers versatile computing power with up to 8 cores, meeting diverse edge computing demands. Featuring an integrated GPU, you can upgrade to Gen 12 UHD graphics, supporting up to 32 EUs with INT8 for both CPUs and GPUs, providing up to 5.15x faster graphics performance and up to 9.83x higher performance in image classification.

Tailored for industrial environments, the Intel® Atom® x7000RE Series builds upon the foundation of the previous Intel® x7000E Series. It introduces real-time technologies such as Intel® Time Coordinated Computing (TCC) and Time-Sensitive Networking (TSN) to optimize support for real-time applications like industrial automation. Moreover, as the first Intel® Atom® Processor to integrate DDR5 memory, it delivers faster speeds of up to 4800 MT/s, expanded bandwidth, and reduced latency. This is further fortified by in-band error correction code (IBECC) for enhanced memory reliability and error protection during operation.

Stay rugged with Advantech product lineups

Advantech provides a variety of products equipped with the latest Intel® Atom® Processor x7000RE Series. These offerings include single-board computers, computer-on-modules, and motherboards. Tailored for harsh environments, they excel in operation across a broad temperature range from -40 to 85°C. These industrial-grade solutions are designed to ensure uninterrupted performance even in the face of extreme temperatures, vibration, and shock.

The sturdy MIO-5354 is a compact 3.5" SBC with reliable out-of-band remote control management, making it ideal for EV charging stations, passenger information systems, and information kiosks. For more economical solutions, the SOM-2533R SMARC module provides dual 2.5G LAN and an integrated converter with dual CAN bus, ideal for automation and medical applications. The reliable SOM-7533R COMe Type 10 module supports 16GB of on-board LPDDR5 memory and operates across a wide input voltage range (4.75V to 20V), making it well-suited for military applications. Designed with abundant and versatile I/O, the SOM-6833R COMe compact module facilitates easy migration in factory automation and frequency spectrum analysis. Lastly, the low-profile and power-efficient AIMB-219 THIN Mini ITX offers stable, quiet performance in extreme environments, making it exceptional for outdoor kiosks, signage, and Human Machine Interface (HMI) applications.

Software and Design-In services

Advantech products seamlessly integrate with the Windows LTSC OS, offering convenient bundled shipment with Windows. Moreover, our partnership with Canonical enhances the user experience by providing pre-installation services with the Ubuntu Desktop LTS version. Upon request, Yocto BSP support is readily accommodated. Advantech DeviceOn empowers efficient cloud-based management of edge devices across multiple sites. This is complemented by the robust capabilities of EdgeBMC on MIO-5354, ensuring secure monitoring, control, and out-of-band connection for remote management. Furthermore, our manufacturing center delivers exceptional value with conformal coating services, safeguarding PCBA and peripherals against various environmental challenges, perfect for demanding applications in harsh conditions. Lastly, Intel's OpenVINO™ toolkit elevates performance by optimizing deep learning inference deployment across Intel platforms, with support for a plethora of pretrained AI models.

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