Hardware platform tools for reComputer RK series: flashing, model conversion (CV/LLM/VLM), optimization.
Convert models to RKNN format with basic verification before deployment.
Use a Docker container to deploy LLM model on the device.
Performance testing for LLM models.
Use a Docker container to deploy VLM model on the device.
Performance testing for VLM models.
Image processing and basic vision toolchain.
A complete tutorial on deploying the OpenClaw (Moltbot) AI agent framework on the reComputer RK series for natural language hardware interaction via NPU.
A comprehensive guide to running local Large Language Models and building robust edge AI agents using the Nanobot framework on Rockchip hardware.
Step-by-step instructions for setting up and optimizing the Clawchip framework to empower edge AI applications on the reComputer RK3576 and RK3588.