ArmSoM
Embedded Linux Boards
Machine Learning
RK3588 AI Module7, powered by the Rockchip RK3588, offers a robust 64-bit octa-core processor with a maximum clock speed of 2.4 GHz, a 6 TOPS NPU, and supports up to 32 GB of memory. It is compatible with Nvidia’s Jetson Nano interface with upgraded and improved PCIe connectivity. Due to this module’s versatility, it caters to applications such as edge computing, cloud servers, AI, VR/AR, blockchain, and smart NVR security systems, not to mention general-purpose computing.
AIM-IO is a compact IO board compatible with current Jetson Nano core modules. With RK3588 AI Module7 installed, it becomes a mini AI computer designed for makers, learners, and developers capable of quickly implementing machine learning technology in various smart devices.
With its Jetson Nano-style edge connector, RK3588 AI Module7 neatly fits into an existing, broad ecosystem of carriers and other compatible accessories. And with its powerful NPU, it’s excellent for intensive ML/AI tasks. Other use cases for ArmSoM RK3588 AI Module7 include:
Specifications | ArmSoM RK3588 AI Module7 (Rockchip) | Jetson Nano (NVIDIA) |
---|---|---|
CPU Cores | Quad-core ARM Cortex-A76 + Quad-core ARM Cortex-A55 | Quad-core ARM Cortex-A57 processor |
GPU Cores | ARM Mali-G610 MP4 | 128-core Maxwell GPU |
Memory | 8 GB/32 GB LPDDR4x, 2112 MHz | 4 GB LPDDR4, 1600 MHz |
Storage | microSD card, 32GB eMMC 5.1 flash storage | microSD card, 16GB eMMC 5.1 flash storage |
Video Encoding | 8K@30 fps H.265 / H.264 | 1x 4K@30 (HEVC), 2x 1080p@60 (HEVC), 4x 1080p@30 (HEVC) |
Video Decoding | 8K@60 fps H.265/VP9/AVS2, 8K@30 H.264 AVC/MVC, 4K@60 fps AV1, 1080P@60 MPEG-2/-1/VC-1/VP8 | 1x 4K@60 (HEVC), 2x 4K@30 (HEVC), 4x 1080p@60 (HEVC), 8x 1080p@30 (HEVC) |
USB Ports | 1x USB 3.0, 3x USB 2.0 | 1x USB 3.0, 3x USB 2.0 |
Ethernet | 1x 10/100/1000 BASE-T | 1x 10/100/1000 BASE-T |
CSI Interfaces | 12 channels (4x2) MIPI CSI-2 D-PHY1.1 (18 Gbps) | 12 channels (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps) |
I/O | 3 UARTs, 2 SPIs, 2 I2S, 4 I2Cs, multiple GPIOs | 3 UARTs, 2 SPIs, 2 I2S, 4 I2Cs, multiple GPIOs |
PCIe | 1x 1/2/4 lane PCIe 3.0 & 1x 1 lane PCIe 2.0 | 1x 1/2/4 lane PCIe 2.0 |
HDMI Output | 1x HDMI 2.1 / 1x eDP 1.4 | 1x HDMI 2.0 |
DP Interface | 1x DP 1.4a | 1x DP 1.2 |
eDP/DP Interface | 1x eDP 1.4 | 1x eDP 1.4 / 1x DP |
DSI Interface | 1x DSI (1x2) 2 sync | 1x DSI (1x2) 2 sync |
OS Support | Debian, Ubuntu, Armbian | NVIDIA JetPack software suite |
Geekbench source data: 1, 2, 3
The AIM-IO Board is a companion board for AIM modules designed to assist developers using AIM modules in completing system and embedded board development. Compared to the Jetson Nano Developer Kit (B01), the AIM-IO Board is the same size but has a broader array of expansion options.
The firmware source and board schematics will be made available during the crowdfunding campaign.
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"The company is positioning the module, which comes with a choice of 8GB or 32GB of LPDDR4x memory, as a upgrade over NVIDIA's entry-level Jetson Nano module — offering a higher-performance CPU, dedicated NPU, and more memory"
"[The ArmSoM RK3588 AI Module7 is] an open-source device... designed for a diverse array of applications, including computer cluster nodes, on-premise servers, and projects involving 3D graphics and AI."
"An interesting new AI module with a board aimed to offer compatibility with the Jetson Nano interface."
We are an open-source hardware and software company founded in 2021 by a passionate team of young developers in Shenzhen. We are driven by a belief in the power of open innovation and are committed to providing the open-source community with exceptional hardware, robust firmware, and comprehensive documentation. Upholding open-source values, we also deliver customizable ODM solutions to businesses worldwide.