reComputer AI Lab | Edge AI Models & Tools
What is reComputer AI Lab?
The reComputer AI Lab is your guide to running AI models locally on platforms like Raspberry Pi, NVIDIA Jetson, and Rockchip. Explore tutorials, benchmarks, and hands-on examples for CV, LLMs, VLMs, VLAs, speech recognition, and community projects.
Quick Access
Explore Models
CV, LLM, and VLM models ready to run on reComputer.
Browse all models →Tools
reComputer-optimized toolchain, one command to use.
Browse tools →Tutorials
Step-by-step guides and hands-on tutorials for reComputer.
Browse all tutorials →Community Projects
Share your community projects built on reComputer.
View all projects →Hot Model
Popular edge AI models ready to run on reComputer
Community Projects
View all projectsSee what the community is building with reComputer
Build a Pose Estimation App with Codex on reComputer AI R2140
Build, deploy, and test a Hailo-8 pose estimation WebUI on reComputer AI R2140 with Codex, from SSH inspection to MP4 playback and download.
Build an Edge AI App with Codex on reComputer RK3576
Learn to use Codex to inspect a reComputer RK3576 over SSH, build and deploy an NPU-powered video detection WebUI, and verify the complete application on real hardware using a repeatable, prompt-driven workflow.
Qwen3-1.7B Long-Context Benchmark on RK1820
Test first-turn response, long-context retrieval, and multi-turn memory with Qwen3-1.7B running locally on reComputer RK3576 and an RK1820 accelerator.