SOMDEVICES μSMARC® RZ/V2N product is based on RZ/V2N RENESAS processor (Quad core ARM Cortex-A55 and ARM Cortex-M33 + 15 TOPS Hardware Artificial Intelligence Accelerator + 2D/3D Graphics with Mali G31 GPU + H.264/265 Hardware Codec up to 4K 30fps + 2x 4k camera input) and equipped with WiFi/BT, 2x Gigabit ethernet, Full HD @ 60fps display output.
Only 82x30mm. Perfect size for space-constrained embedded designs.
Low-cost solutions and efficient architecture for your green design without sacrificing performance.
Space optimization It pairs seamlessly with custom carrier boards.
• Artificial intelligence • (AI) machine learning and vision • Powerful multimedia • Video encoding / decoding • 4K camera inputs • Fast time to market • Industrial grade • Customizable • Long term support • Warranty • Full open source ecosystem
Renesas RZ/V2N processor can accelerate image processing, such as OpenCV, and dynamics calculations required for robotics applications. It also features high-speed interfaces like PCIe®, USB 3.2, and Gigabit Ethernet, making it an ideal microprocessor for applications such as autonomous robots and machine vision in factory automation, where advanced AI processing must be implemented with low power consumption. SOMDEVICES presents µSMARC®, a NEW smaller mechanical concept form factor beyond SMARC module standard but 100% compatible up to SMARC 2.1.
Quality Assurance
From design to delivery, our certifications and partnerships ensure every solution meets the highest standards of performance and service. We meet the highest industry standards: AS9100 Rev D (Aerospace), ISO 9001 (Quality), ISO 14001 (Environmental), ISO 13485 (Medical), ISO 45001 (Health & Safety). Long-term availability
| Processor | 4x ARM Cortex-A55 1.8 GHz 1x Cortex-M33 up to 200MHz |
| Memory | RAM: From 512MB up to 8GB LPDDR4 FLASH: From 4GB up to 128GB eMMC |
| Video | Up to 2x LVDS or MIPI-DSI (4 lanes) Video decode 4K@30fps (h.265, h.264) Video encode 4K@30fps (h.264, h.265) |
| 2D/3D | Mali G31 3D GPU Open GL ES3.2, and Open CL 2.0 FP |
| Machine learning | Neural Processing Unit (NPU) 15 TOPS |
| Camera | 2x MIPI CSI2 (4 lanes) ISP Mali-C55 |
| Peripherals | 2x 10/100/1000 Mbps Ethernet 2x CAN 1x I2S 3x I2C 1x SPI 4x UART (2x flow-control 4-wire, 2x 2-wire) 13x GPIOs 1x SDIO 1x USB 2.0 OTG 1x USB 3.2 HOST Up to 3x PWM 1x PCIe (2 lane) |
| Wireless | Wifi: WiFi 802.11 a/b/g/n/ac Bluetooth: 5.1 |
| Mechanical | New µSMARC form factor 82×30 mm |
| Mounting | MXM 3.0 314 pin SMARC connector |
| Temperature | -40ºC to 85ºC |
| Humidity | 93% relative Humidity at 40ºC, non-condensing (IEC 60068-2-78) |
| Support | Linux (Yocto, Ubuntu or Debian) |
| C0P5-V10: | SOMDEVICES µSMARC RZ/V2N FULL (Quad 1600MHz/2048MB LPDDR4/16GB eMMC/WiFi/BT/2x ETH) |
| C0P5-V11: | SOMDEVICES µSMARC RZ/V2N NO WIFI (Quad 1600MHz/2048MB LPDDR4/16GB eMMC/2x ETH) |
| C0P5-V1?: | SOMDEVICES µSMARC RZ/V2N custom (Contact sales to assemble custom made products such as better project adjustment or large volumes. We are manufacturers.) |
Our products enable rapid prototyping and deployment of AI / AIoT enabled systems by delivering high computational power with optimized energy efficiency. Designed for minimal power consumption and cost-effective scalability, they streamline development cycles while maintaining robust performance in embedded applications.
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