RK3576 for Edge Computing: Finding the Middle Line Between Performance and Power
When an edge computing project moves toward deployment, the question that comes up most is not “which chip” but “why can’t we just use an industrial PC”. Behind that…
标签：Edge AI
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Selecting an RK3588 Industrial Board: Dual GbE, 4 Isolated Serial Ports, CAN-FD and Wide-Temp
Put a consumer-grade development board inside a factory cabinet and it usually will not survive a summer. What industrial sites demand of a board is not “more perfor…
RK3588 Platform Deep Dive: Why It Leads Embedded AI & Edge Computing
In the 2026 embedded and edge-computing market, the Rockchip RK3588 remains the benchmark SoC for high-end development boards and industrial mainboards. Built on an 8nm process, it integrates an octa-core 4×Cortex-A76 + 4×Cortex-A55 big.LITTLE architecture with a dedicated 6TOPS NPU, balancing general compute with on-device AI inference across commercial displays, edge gateways and AI vision […]
RK3576 vs RK3588: Picking the Right Mid-Range Embedded Board
Within Rockchip’s portfolio, RK3576 and RK3588 are often compared. Both use an 8nm process and an octa-core big.LITTLE architecture, but target different tiers: RK3588 is the flagship, while RK3576 is a more balanced high-mid solution. 1. Key Differences CPU: RK3588 is 4×A76 + 4×A55; RK3576 is 4×A72 + 4×A53, with slightly lower single/multi-core performance; NPU: […]
Embedded AI at the Edge: 2026 Trends & Board Selection Guide
A 2026 field guide to edge AI — NPU TOPS, on-device LLMs and software stacks, plus RUPA board selection tips.
01B EDGE-RK3588-4D32 V1.2A
RK3588-based edge-computing development board (4GB DDR + 32GB eMMC) for edge AI inference and multi-stream video processing.
02A EDGE-RK3576 V1.1
RK3576 edge-computing development board with a balanced performance-to-power ratio and rich I/O, suited to AIoT and edge-computing products.