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AI MODULE7

Rockchip RK3588

All Pins are compatible with NVIDIA Jetson Nano / TX2 NX

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano

RK3588 AI MODULE7 LIVE ON CROWDSUPPLY

A LOW-POWER AI MODULE THAT PERFECTLY REPLACES JETSON NANO

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ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano cpu
Octa-core Processor
ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano GPU
Mali-G610 MP4
ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano AI
6 TOPS NPU

Block Diagram

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano Block Diagram

Specifications

ArmSoM-AIM7 Rockchip RK3588 NVIDIA

Resources

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano forum
Forum
ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano docs
Docs
ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano download
Download
ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano github
Github

Support Large Language Model (LLM)

Boasting up to 6 TOPs AI performance, AIM7 supports Large Language Model (LLM) such as GPT, LLaMA, ChatGLM, and Bloom. It also enables multi-chip parallel acceleration for handling very large model inferences.

Instruction manual: https://docs.armsom.org/general-tutorial/rknn-llm

Faster CPU Performance

Quad-core ARM Cortex-A76 MPCore processor and quad-core ARM Cortex-A55 MPCore  processor

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano cpu

Powerful GPU

The RK3588 has an integrated 4-core GPU, the ARM Mali-G610 MP4 (up to 1GHz clock speed) which supports a lag-free 4K user interface. 3D rendering has been greatly improved and you can play expansive open-world online games, console games and even some AAA titles.

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano GPU

High Performance NPU

The RK3588 has a built-in NPU which provides up to 6 TOPS (tera operations per second) of neural network processing. The NPU supports mainstream deep learning frameworks, such as TensorFlow, Pytorch, MxNET and so on. The powerful RK3588 brings optimized neural network performance to various A.I. applications. 

ArmSoM-AIM7 Rockchip RK3588 NVIDIA Jetson Nano NPU

Add-ons

Expand the capabilities of your AIM7

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