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Impulse Embedded is a leading provider of Industrial computing systems and solutions. Our customers rely on us to provide the best embedded computing products and solutions for the challenges presented by today’s industrial demands. Together with our global manufacturing partners we provide world-class innovative embedded computing and automation products and solutions suitable for multiple industrial market sectors.
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The Intel Core Ultra Series 1 Pico-ITX SBC, specifically the PICO-MTU4 from AAEON, is a powerful compact board with Intel Core Ultra 7/Ultra 5 processors. Featuring up to 32GB of onboard LPDDR5 memory, dual Ethernet ports (2.5GbE and 1GbE), and advanced connectivity options, including HDMI, eDP, and multiple M.2 slots for high-speed expansion. With its hybrid CPU core architecture and dedicated AI engine, the PICO-MTU4 delivers a 24% boost in multi-thread performance while reducing power consumption by 50% making it an ideal solution for advanced edge computing, smart healthcare, and industrial robotics applications.
The PICO-MTU4’s robust design further enhances its utility with an operating temperature range of -20°C to +70°C, optimised mechanical layout, and support for Wi-Fi 6. Its high-bandwidth communication capabilities, such as dual USB 3.2 Gen 2 ports and multiple serial interfaces, allow easy integration with various industrial applications. These features make it well-suited for use, in roadside cabinets, SCADA, MES, and system monitoring devices, where real-time data processing and AI workload management are essential.
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Aaeon Intel Core Ultra 5/7 Pico-ITX Single Board Computer
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Select the products of this series that you wish to request quantity or project pricing, or lead time information for:
PICO-MTU4-A10-0001
Intel Core Ultra 5 125U Pico-ITX Single Board Computer 8GB DDR4
PICO-MTU4-A10-0002
Intel Core Ultra 5 125U Pico-ITX Single Board Computer 16GB DDR4
PICO-MTU4-A10-0003
Intel Core Ultra 5 125U Pico-ITX Single Board Computer 32GB DDR4
Spurious error messages, especially those from rolling-stock subsystems, can be difficult and time consuming to diagnose. Siemens Rail, in Manchester, wished to install a data logging system onto their rolling stock to transmit data in real-time back to their depot for efficient data analysis by their team.