AI System-on-Chip (SoC) · serves as: Embedded main processor, High-level compute, AI Inference.
Which group Rockchip RK3588 belongs to and how it is built
Compute Modules is a subcategory of hardware components that provide processing power for robotic systems. It encompasses onboard computers, single-board computers (SBCs), AI accelerators, embedded processors, GPU/NPU compute modules, and other units responsible for processing sensor data and executing control logic. These modules form the foundation of modern autonomous, humanoid, and perception-capable robots.
Component type encompassing System-on-Chip designs used as primary compute units in embedded devices, edge AI, and robotics applications.
Basic physical properties of Rockchip RK3588 — dimensions, weight and materials
The Rockchip RK3588 is Rockchip's flagship system-on-chip (SoC) built on an 8 nm process. It combines an octa-core big.LITTLE CPU (4× ARM Cortex-A76 clocked up to 2.4 GHz and 4× ARM Cortex-A55 at 1.8 GHz), an ARM Mali-G610 MP4 GPU, and a triple-core NPU delivering 6 TOPS with support for INT4/INT8/INT16/FP16/BF16/TF32 precision.
The SoC supports LPDDR4/LPDDR4x/LPDDR5 memory, video decoding up to 8K@60fps (H.265/H.264/AV1/AVS2) and encoding up to 8K@30fps, plus a broad set of interfaces: PCIe 3.0/2.0, SATA 3.0, USB 3.1/2.0, USB-C, RGMII and HDMI 2.1/eDP/DP/MIPI outputs. With its high performance and low power draw, the RK3588 is used as onboard compute in robots — among others as the main compute unit (dual RK3588) in the Faraday Future FF All-New Futurist humanoid Standard variant, and paired with NVIDIA Jetson Thor in the Ultra variant.
