1. Business Growth Background: Driven by AIoT, Led by Two Core Chips​

In the first half of 2025, Rockchip's AIoT business maintained robust growth, fueled by the booming AIoT market and strong demand for edge-side AI applications. This growth was primarily driven by flagship chips such as the RK3588 and the new-generation high-performance processor RK3576, which achieved significant business expansion in key sectors including automotive electronics (in-vehicle infotainment, ADAS assistance), industrial applications (assembly line quality inspection, edge gateways), machine vision (high-resolution cameras, intelligent detection), and robotics (service robots, industrial robotic arms). With their outstanding performance and rich functional features, these two processors have gained wide recognition in the field of embedded systems and intelligent devices, becoming the preferred solution for numerous industrial customers and developers.​

2. Comparison of Core Chips: Parameter and Performance Analysis of RK3588 and RK3576​

1. Concise Comparison of Key Specifications​

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2. Core Differences and Scenario Adaptation​

• RK3588: Positioned as a high-end flagship, it excels in 8K video processing, multi-core NPU parallelism (40%+ improvement in computing power utilization), and large memory bandwidth. Suitable for scenarios requiring multi-task concurrent inference (e.g., high-end intelligent cameras, edge AI gateways), but with higher power consumption and cost.​

• RK3576: Focused on mid-range cost-effectiveness, it features higher small-core frequency (2.2GHz) and supports UFS storage expansion. Ideal for cost-sensitive mid-range devices (e.g., industrial tablets, mid-range robots) with approximately 30% lower power consumption than the RK3588.​

3. Comprehensive Analysis of RK NPU Platforms: 6 Series Covering Entry-Level to High-End​

Rockchip's RK NPU family meets diverse computing power and power consumption requirements through differentiated positioning. Combined with updates in the RKNN Compiler Support Operator List v2.0.0-beta document, it introduces hardware-accelerated operators such as exSDPAttention (attention mechanism) and exMatMul (matrix multiplication), further optimizing adaptation for Transformer-based models.​

1. Core Features and Scenarios of the 6 Platforms​

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2. Cross-Platform Commonality and Development Advantages​

• Data Type Compatibility: Except for the RK2118, all platforms support int8 (low-power quantization) + float16 (half-precision), balancing performance and accuracy;​

• Operator Fallback Guarantee: Unsupported operators are automatically offloaded to the CPU (covering over 100 operators), ensuring maximum model compatibility;​

• Mature Toolchain: Equipped with RKNN-Toolkit2, it provides one-stop tools for quantization and deployment, lowering development barriers.​

4. Development Pitfall Avoidance Guide: 3 Key Constraints​

1. Input/Output Alignment: Under zero-copy API, RK3588 requires int8 16-byte alignment and RV1103 requires 16-byte alignment; actual requirements must be queried via the w_stride attribute;​

1. Operator Constraints: Concat/Split require channel alignment (8-byte alignment for 8bit, 4-byte alignment for 16bit); Resize only supports nearest-neighbor/linear interpolation (maximum 8x scaling);​

1. Version Selection: Prioritize the v2.0.0-beta version, which fixes RK3588 Transpose limitations and adds support for RK3576/RK2118; refer to the Rockchip_RKNPU_User_Guide for details.​

5. ICGOODFIND: Partner for Rockchip RK Series Implementation​

As a professional electronic component supply chain platform, ICGOODFIND provides end-to-end services ("in-stock supply + technical support + custom solutions") for Rockchip RK series chips, accelerating project implementation for customers:​

1. In-Stock and Inventory Guarantee: Sufficient stock of RK3588/RK3576 and supporting components (LPDDR5, eMMC) to shorten procurement cycles;​

1. Technical Resource Support: Offers chip datasheets, NPU development manuals, and operator adaptation cases to assist with quantization and deployment challenges;​

1. Scenario-Specific Solutions: Provides reference designs for "RK chips + peripheral circuits" for industrial, security, and smart home scenarios, reducing R&D costs;​

1. Cost-Effectiveness Adaptation: Recommends optimal solutions based on customer needs (e.g., RK3576 for cost sensitivity, RK3588 for high performance), balancing performance and budget.​

Whether for entry-level embedded devices or high-end edge AI projects, ICGOODFIND accelerates the commercial implementation of Rockchip RK series chips through its mature supply chain and technical services.