UnifyDrive, a leading global brand in network-attached storage (NAS), has announced their latest portable storage device, the UnifyDrive UT2. This groundbreaking personal NAS combines the power and versatility of traditional NAS with the convenience of portability, offering unmatched data management and backup capabilities.

The UnifyDrive UT2 is designed for creatives, professionals, travelers and photography enthusiasts who need high-performance, portable data storage. With its pocket-sized form, the UT2 integrates the functionality of a NAS, backup system, media server, Blu-ray player, and portable storage device into one compact unit. This versatility allows users to manage, access, and protect their data effortlessly, whether at the office, at home, or on the move.

Radxa first teased their ROCK 3B back in 2021 when the smaller and lower power ROCK 3A launched, and has just now finalized the design and specs with what they call the "PI-CO ITX" form factor; a tad over Pico-ITX size but with a standard Raspberry Pi 40-pin GPIO and rear-facing I/O. The board measures 100 x 75 mm which means it definitely won't be fitting into any housings made for the Raspberry Pi, but with the I/O aligned to one side there's a chance some Pico-ITX cases could still fit. This closely mirrors the already released ROCK 5B, but where that SBC is targeting a much higher performance and price point (with the cheapest 4 GB model MSRP set at $130 USD), the ROCK 3B starts at only $45 USD for the 2 GB, and even the 8 GB variant is only $75 USD.

ASUS IoT, the leading global AIoT solution provider, today announced Tinker Board 3N series, a versatile, Arm -based single-board computer (SBC) that empowers easy system integration, broad adaptability and superb expandability - elevating it to the perfect choice for the emerging Industrial Internet of Things (IIoT) era.

The NUC-sized SBC series is equipped with rich I/O and supports Linux Debian, Yocto, and Android operating systems, presenting an all-new premium option for developers and system integrators' diverse IIoT projects. Its optimized thermal design simplifies deployment of embedded applications, ensuring efficient operation in demanding environments. With its durable and reliable design, Tinker Board 3N offers enhanced computing performance, low power consumption and a wide range of interfaces, so it's primed and ready for smart manufacturing applications powering the IoT revolution.

ECS showed off a large array of products at their booth at Computex this year, demonstrating the range of markets they cater to, from consumer to industrial. To start with, their long lived LIVA series of mini PCs have received an update to Intel's 13th gen Core series of processors with the LIVA Z5. The LIVA Z5 lineup includes three new models: the Z5 Plus, a more spacious Z5E Plus, and a completely passive Z5F Plus. Each of these feature the new processor generation up to 15 W and are designed for smart retail and kiosk deployments. The series not only boasts the new processor generation, but also expandable DDR4-3200 with capacities up to 64 GB, M.2 PCI-E NVMe Gen 4x4 SSD storage (plus 2.5" SATA in the Z5E and Z5F), optional Wi-Fi 6 module, dual 2.5 GbE, three USB 3.2 Gen 2x1 Type-A, USB Type-C, HDMI, and COM ports. Each of these new models can support up to four simultaneous 4K displays. ECS had the Z5 and Z5E Plus running as a multi-display automated self-service kiosk in their booth where visitors could order a bubble tea. Beside these was also the new LIVA P300, a slightly larger ITX barebones machine with a Q670 motherboard supporting both 12th and 13th Gen processors on LGA 1700, up to 65 W TDP.

ASUS today announced Tinker Edge R, a single-board computer (SBC) specially designed for AI applications. It uses a Rockchip RK3399Pro NPU, a machine-learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications.

With this integrated ML accelerator, Tinker Edge R can perform three tera-operations per second (3 TOPS), using low power consumption. It also features an optimized neural-network (NN) architecture, which means Tinker Edge R can support multiple ML frameworks and allow lots of common ML models to be compiled and run easily.