Quad-core cube for the “micro-edge” introduced by SolidRun
High-performance edge computing solutions developer and manufacturer SolidRun has announced a new addition to its recently announced portfolio of i.MX 8M Plus powered solutions – the CuBox-M Micro Desktop Computer.
At 8 cubic inches (2″x2″x2″), CuBox-M offers developers an unwavering combination of design simplicity and engineering capability, while its remarkably small size makes it perfect for on-the-go demos and product development. The ultra-compact desktop computer comes packed with either a dual- or quad-core ARM Cortex A53 processor with integrated Cortex M7 core, a Cadence Tensilica HiFi 4 DSP that supports voice and natural language processing chores, and an integrated neural processing unit for enhanced AI and machine learning capabilities at the edge.
The CuBox-M is perfect for software developers. “Not everyone working on Arm-based IoT software wants an exposed SBC lying on their desk with wires hanging out of it. Sometimes a software developer or machine learning researcher just wants a streamlined system to test their product on, be it an Android application or a new Edge-based AI inference algorithm,” said SolidRun’s chief systems architect Jon Nettleton. “CuBox-M offers them exactly that, a small, powerful, and cost-effective machine for testing software that benefits from the incredible capabilities of the new i.MX 8M Plus.”
The CuBox-M comes equipped with multiple USB 3.0 interfaces and a 1080p HDMI output with plug-and-play desktop standards that software developers are used to. Additionally, SolidRun offers an optional upgrade that adds Power over Ethernet (PoE). Adding PoE makes it so that a single Ethernet cable connection serves double duty as a connectivity source and power source for the entire CuBox-M system – including attached peripherals. For those that require the freedom to do development work remotely, the CuBox-M travels well – requiring very little space in a travel bag.
What can you do with a CuBox-M?
– Software development and testing
– Camera-based image recognition
– AI and machine learning inference at the edge
– Connect and manage digital signage
– Prototype virtual assistant and IoT applications
– Control your smart home
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