SMARC

CiPC-iMX93

NXP i.MX 93 Industrial SMARC CoM

The CiPC-iMX93 is an ultra-low-power, industrial-grade SMARC 2.1.1 Computer-on-Module (CoM) powered by the advanced NXP i.MX 93 applications processor. Integrating dual Arm® Cortex®-A55 cores alongside an efficient Arm Ethos™-U65 microNPU, this module brings localized machine learning, smart energy management, and efficient edge intelligence to compact IoT deployments. Built to endure continuous 24/7 service in punishing factory environments, the CiPC-iMX93 enables rapid development of secure, cost-optimized edge gateways, smart home systems, and industrial control nodes.
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  • Specifications
  • Features List
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CiPC-iMX93


High energy-efficiency performance
High energy-efficiency performance
The Giada CiPC-iMX93 is powered by a 1.7GHz Cortex™-A55 NXP i.MX 93 processor, which features an energy-flex architecture. This processor employs a heterogeneous multicore design, offering either single-core or dual-core ARM® Cortex™-A55 cores that can run up to 1.7 GHz, along with an ARM® Cortex™-M33 real-time processor operating at up to 250 MHz. At its maximum performance of 1.7 GHz, the processor consumes just 1.7W. Furthermore, the i.MX 93 processors integrate advanced security capabilities through the EdgeLock® secure enclave, facilitating energy-efficient edge computing.
Smooth data processing
Smooth data processing
The compact SMARC module features integrated LPDDR4x on-board memory, on-board eMMC storage of up to 64GB and dual LAN ports. These capabilities enhance end-to-end communication and provide faster data transmission with low latency, making it ideal for automation and industrial control applications.
Compatibility with various applications
Compatibility with various applications
The Giada CiPC-iMX93 offers a range of interfaces tailored for embedded applications, including GPIO extension, USB 2.0, CAN-FD, single-channel LVDS and MIPI-DSI for display, and MIPI-CSI for camera connectivity. An on-board wireless module is available as an assembly option. These compact modules, measuring 82 x 50 mm, are designed to operate within an extended temper


Specifications


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Features List


  • NXP i.MX 93 Neural Processing Core:Features up to 2x Arm® Cortex®-A55 application cores and an integrated Arm Ethos™-U65 NPU, offering localized AI acceleration for entry-level vision and smart voice recognition.

  • SMARC 2.1.1 ComplianceBuilt on the standardized SMARC modular form factor, enabling effortless processor scaling and drop-in upgrades without requiring an overhaul of the underlying carrier board.

  • Low-Power Memory ArchitectureUtilizes robust onboard LPDDR4X memory and eMMC flash storage to ensure data integrity and power efficiency under demanding edge processing cycles.

  • Dual Gigabit Ethernet with TSNSupports dual 10/100/1000 Mbps Ethernet ports with Time-Sensitive Networking (TSN) capabilities, ensuring low-latency deterministic communication for real-time industrial networks.

  • Rich Industrial ConnectivityFeatures an array of embedded interfaces, including multiple USB ports, PCIe lanes, CAN bus lines, I2C, SPI, and UART lines for direct sensor and machinery sync.

  • Industrial Thermal ArmorEngineered for reliable operations in hostile, unconditioned settings, operating flawlessly within an extreme -40 ~ 85C temperature spectrum.


Applications / Use Cases


  • Smart Energy & Grid AutomationMonitored at power stations and renewable energy hubs to gather utility telemetry, manage smart meters, and run predictive distribution workloads.

  • Industrial IoT Gateways & Protocol ConvertersActs as a centralized bridge on production floors, collecting raw legacy sensor inputs and securely pushing encrypted data to cloud networks.

  • Building Automation & Access ControlPowers smart intercoms, biometric access gates, and localized building management panels requiring energy-efficient AI vision and touch controls.

  • EV Charging Stations & InfotainmentDeployed in outdoor electric vehicle chargers to handle secure localized mobile payments, UI processing, and real-time charging metrics.

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