Advantech has received the 2024 Embeddy Hardware Award from VDC Research for its ROM-2860. This size-L Open Standard Module (OSM), powered by the Qualcomm QSC6490 system-on-chip, has been recognised globally as an innovative Edge AI product for embedded developers and system engineers in the IoT and Edge computing sectors.
At Embedded World 2024, Advantech announced its strategic partnership with Qualcomm Technologies to jointly transform the Edge computing landscape. Advantech intends to integrate Qualcomm Technologies’ advanced solutions across its entire platform range, including AI-on-Modules, AI Function Boards, and AI Edge Systems.
One of the first products from this collaboration is the ROM-2860, an ultra-compact 45 x 45 mm OSM. This robust solder-on module features the QCS6490 system-on-chip, delivering 12 TOPS of AI capability with embedded machine vision supporting dual-camera input and a native video codec. It achieves nearly 20% better performance than mid-tier x86 processors, with an impressive 43-75% reduction in power consumption. The ROM-2860 outperforms traditional computer-on-modules, catering to various Edge AI applications in industrial automation, medical, robotics, and transportation sectors.
Dan Mandell, Director, VDC Research commented: “The launch of Advantech’s new ROM-2860 computing module is a significant milestone in the embedded industry. It marks Qualcomm’s full commitment to serving the embedded and Edge computing market while also advancing the rapidly emerging Open Standard Module (OSM) specification, which is helping fill the need for more standardised Arm-based computing modules alongside SMARC and others. A huge congratulations to the Advantech team on its new offering for embedded and Edge AI computing and its burgeoning collaborations with Qualcomm.”
The ROM-2860 enables users to leverage Qualcomm’s AI processing capabilities with minimal R&D effort, facilitated by the Advantech Edge AI SDK. This comprehensive toolkit supports leading AI platforms and their inference SDKs. It seamlessly integrates the Qualcomm Neural Network (QNN) and Snapdragon Neural Processing Engine (SNPE) within its Benchmark Tool, allowing developers to start development quickly and achieve insightful results. The verified Runtime SDK and integrated AI models from the Qualcomm AI Hub accelerate the initiation of AI application development projects.
There’s plenty of other editorial on our sister site, Electronic Specifier! Or you can always join in the conversation by commenting below or visiting our LinkedIn page.
