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- RZ/G3E: 4x Cortex-A55 @1.8 GHz & Cortex-M33 @200 MHz delivering 21.6K DMIPS
- Dual display capable via LVDS, MIPI-DSI or parallel
- H.264/265 Enc./Dec., Mali-G52 GPU@30GFLOPS
- USB3.2, USB2, Dual Gigabit Ethernet
- DEEPX DX-M1 AI Booster with 25 TOPS at 5 Watt!

Experience a new level of intelligent performance with our new System-on-Module, seamlessly integrating the versatile power of the Renesas RZ/G3E application processor with the groundbreaking DEEPX DX-M1 AI Booster. This powerful combination delivers exceptional processing capabilities and unprecedented AI performance!
Advanced Multimedia
The RZ/G3E DX-M1 SOM features high-end
With MIPI-DSI, LVDS and parallel RGB display outputs, MIPI-CSI camera inputs, flexible audio interfaces and comprehensive communication features, the RZ/G3E is ideal for industrial, user interface (HMI) and multimedia applications.
These capabilities are perfectly complemented by the revolutionary 25 TOPS AI acceleration of the DX-M1 – suitable for vision applications.
The DX-M1 AI Booster communicates with the RZ/G3E Application Processor over a dual data channel PCIe Gen3 interface.
Renesas Technology
The module is based on Renesas’ energy efficient RZ/G3E application processor which has up to 4x Cortex-A55 cores capable at running up to 1.8 GHz and one Cortex-M33 core running up to 200 MHz – 21.6K DMIPS in total!
Compact form factor, 82×50 mm, using the proven MXM3 connector.
DEEPX Technology
The DEEPX DX-M1 redefines the landscape of edge AI, achieving unparalleled cost-efficiency (inference/$), power-efficiency (TOPS/W), and performance efficiency (FPS/TOPS). Delivering 25 TOPS at just 5 Watts, it’s ideal for diverse applications from smart factory robotics and vision to edge computing and smart mobility.
Temperature Range
The SOM is available in industrial and commercial temperature ranges, -40 to +85 / 0 to 70 degrees Celsius, respectively.
Scalable Solution – Edge Compute/AI
There is a version of the board; RZ/G3E SOM, without the DX-M1 mounted – allowing you to scale cost-effectively between Edge Compute to Edge AI applications!
Processor Details | |
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Cores | Renesas RZ/G3E Quad-core ARM Cortex-A55 and Cortex-M33 |
Frequency | 1.8GHz on Cortex-A55, 200 MHz on Cortex-M33 |
Further RZ/G3E information | RZ/G3E application processor (MPU) product page at RenesasRZ/G3E datasheet from RenesasRZ/G3E User's Manual from Renesas |
Memory | |
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SDRAM | 4 GByte LPDDR4X 3200 MT/s, 32-bit/2ch databus |
NAND FLASH | 64 GByte eMMC NAND Flash for OS and bootloader |
On-chip NPU | |
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NPU | ARM Ethos-U55 256MAC, 512 GOPS (0.5 TOPS) |
On-board AI Booster | |
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NPU | DEEPX DX-M1 AI Booster, up to 25TOPS. Frequency up to 1 GHz |
SDRAM | 4GByte LPDDR5 5600MT/s, 64-bit/4ch databus |
On-board communication with MPU | PCIe Gen3, 2 data lanes |
Graphics output | |
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MIPI-DSI | 4 lanes with resolution up to 1920x1080/1200 at 60 Hz (1080p60/1200p60) |
LVDS | Single link: WXGA up to 1366x768/1280x800 60Hz, Dual link: up to 1920x1200 60Hz |
Parallel RGB | 18/24 bit up to WXGA, 1280x800 at 60 Hz (720/800p60) |
Video Engine (VCD) | H.264/265 Encode & Decode: 4Kp30 and 1080p60 |
3D GPU | Mali-G52 @630MHz delivering 30GFLOPS.Supports Vulkan 1.2, OpenGL ES 1.1/2.0/3.2 and OpenCL 2.0 full |
Graphics input | |
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Camera interface | 1x MIPI-CSI2, 4 lanes, max 2.1Gbps per lane |
High-Speed Communication | |
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Ethernet | 2x Gigabit Ethernet interface based on Microchip KSZ9131RNXI Ethernet PHY |
Wi-Fi/BT | Optional Murata LBEE5HY2FY (2FY), 802.11a/b/g/n/ac/ax SISO, Wi-Fi 6E and 5.4 BR/EDR/BLE, SDIO interface, based on Infineon chipset CYW55513 |
USB3 | USB3.2 Gen2, Host-only |
USB2 | USB2.0 (1 ch.: Host/Device, 1 ch.: Host-only) |
Power | |
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Supply voltage | 4-5V |
Power Consumption | 7-9 Watts peak (TBD) |
Mechanical | |
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Dimensions (W x H x D) | 82 x 50 x 5 mm, EACOM form factor |
Expansion | MXM3 format, 314 positions |
Product Classification and Status | |
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Integration board; In Development/Sampling |
Flyers and specifications | |
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RZ/G3E DX-M1 SOM Flyer |
Conformity | |
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Product compliance declarations | |
Longevity and PCN |
Software resources | |
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imx.embeddedartists.com |