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iCore-3576Q AIOT System on Module RK3576
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iCore-3576Q AIOT System on Module RK3576

iCore-3576Q AIOT System on Module RK3576

The Rockchip RK3576-powered iCore-3576Q is an octa-core 64-bit AIoT processor with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, enabling high-performance AI computing and low power consumption. It supports 4K@120fps decoding, 4K@60fps encoding, and private large model deployment, ideal for industrial AI applications. Featuring industrial-grade stability, a BTB interface, and external watchdog support, it ensures reliable 4K@120fps display output for embedded and edge computing solutions.

Feature

  • High-performance AIOT Processor RK3576: Rockchip RK3576 AIoT Processor – An octa-core 64-bit powerhouse with big.LITTLE architecture (4×A72 + 4×A53 @2.2GHz), advanced lithography, and high-performance computing. Equipped with a Mali-G52 MC3 GPU (145G FLOPS) for efficient graphics processing, it delivers robust multitasking and AI acceleration for embedded and edge AI applications.
  • The Private Deployment of Large Models: Large language models such as LLaMa2, ChatGLM, and Qwen. Traditional network architectures, Docker container.
  • 4K@120fps High Frame Rate Video Decoding: Supports 4K@120fps decoding (VP9, AVS2, AV1), 4K@60fps decoding (H.264/AVC), 4K@60fps encoding (H.264/AVC), and provides HDMI 2.1 (4K@120fps)/eDP1.3 (4K@60fps), DP1.4 (4K@120fps).
  • UFS 2.0 with A Data Read Speed of 12Gbps: The device supports UFS 2.0 / HS-G3 (12 Gbps), ensuring efficient data storage and access. PCIe NVMe / SATA SSD expansion provides fast data read and write speeds, allowing the device to be easily expanded to TB-level storage capacity.

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From $41.70

Original: $139.00

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iCore-3576Q AIOT System on Module RK3576—

$139.00

$41.70

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iCore-3576Q AIOT System on Module RK3576

The Rockchip RK3576-powered iCore-3576Q is an octa-core 64-bit AIoT processor with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, enabling high-performance AI computing and low power consumption. It supports 4K@120fps decoding, 4K@60fps encoding, and private large model deployment, ideal for industrial AI applications. Featuring industrial-grade stability, a BTB interface, and external watchdog support, it ensures reliable 4K@120fps display output for embedded and edge computing solutions.

Feature

  • High-performance AIOT Processor RK3576: Rockchip RK3576 AIoT Processor – An octa-core 64-bit powerhouse with big.LITTLE architecture (4×A72 + 4×A53 @2.2GHz), advanced lithography, and high-performance computing. Equipped with a Mali-G52 MC3 GPU (145G FLOPS) for efficient graphics processing, it delivers robust multitasking and AI acceleration for embedded and edge AI applications.
  • The Private Deployment of Large Models: Large language models such as LLaMa2, ChatGLM, and Qwen. Traditional network architectures, Docker container.
  • 4K@120fps High Frame Rate Video Decoding: Supports 4K@120fps decoding (VP9, AVS2, AV1), 4K@60fps decoding (H.264/AVC), 4K@60fps encoding (H.264/AVC), and provides HDMI 2.1 (4K@120fps)/eDP1.3 (4K@60fps), DP1.4 (4K@120fps).
  • UFS 2.0 with A Data Read Speed of 12Gbps: The device supports UFS 2.0 / HS-G3 (12 Gbps), ensuring efficient data storage and access. PCIe NVMe / SATA SSD expansion provides fast data read and write speeds, allowing the device to be easily expanded to TB-level storage capacity.

Hardware Overview

Product Information

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Description

The Rockchip RK3576-powered iCore-3576Q is an octa-core 64-bit AIoT processor with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, enabling high-performance AI computing and low power consumption. It supports 4K@120fps decoding, 4K@60fps encoding, and private large model deployment, ideal for industrial AI applications. Featuring industrial-grade stability, a BTB interface, and external watchdog support, it ensures reliable 4K@120fps display output for embedded and edge computing solutions.

Feature

  • High-performance AIOT Processor RK3576: Rockchip RK3576 AIoT Processor – An octa-core 64-bit powerhouse with big.LITTLE architecture (4×A72 + 4×A53 @2.2GHz), advanced lithography, and high-performance computing. Equipped with a Mali-G52 MC3 GPU (145G FLOPS) for efficient graphics processing, it delivers robust multitasking and AI acceleration for embedded and edge AI applications.
  • The Private Deployment of Large Models: Large language models such as LLaMa2, ChatGLM, and Qwen. Traditional network architectures, Docker container.
  • 4K@120fps High Frame Rate Video Decoding: Supports 4K@120fps decoding (VP9, AVS2, AV1), 4K@60fps decoding (H.264/AVC), 4K@60fps encoding (H.264/AVC), and provides HDMI 2.1 (4K@120fps)/eDP1.3 (4K@60fps), DP1.4 (4K@120fps).
  • UFS 2.0 with A Data Read Speed of 12Gbps: The device supports UFS 2.0 / HS-G3 (12 Gbps), ensuring efficient data storage and access. PCIe NVMe / SATA SSD expansion provides fast data read and write speeds, allowing the device to be easily expanded to TB-level storage capacity.

Hardware Overview