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RMinte develops AI hardware and inference platforms. We bring computing devices, inference engines, and system software together to make local AI easier to deploy, manage, and use — from running models to putting applications to work.
Purpose-built computing devices that bring model inference and application workloads to the desktop and the field.
The software layer connecting models with local compute, supporting AI applications and agent workflows.
System software, deployment utilities, and documentation for working with the complete device.
RM-01 · Portable AI Supercomputer
RM-01 brings model inference and application execution into one local platform. Its modular architecture and replaceable CFe-B cards support different model and application setups, with device management built into the system.
Explore RM-01 → · Read the guides →
Explore TianshanOS, our open-source device management system, and help shape the software behind local AI hardware.
Built on ESP32 and ESP-IDF, TianshanOS brings hardware control, monitoring, and maintenance into a unified system. A browser-based interface, command-line tools, and APIs give users and developers access to the device.
- Monitor and control: temperature and power monitoring, fan control, and power management for connected compute modules.
- Automate operations: collect device data, evaluate rules, and execute actions to coordinate routine tasks.
- Configure and maintain: encrypted configuration packs, role-based access, and OTA firmware updates support device administration.
Read the source, explore the documentation, or contribute fixes and ideas through issues and pull requests. Explore TianshanOS →
Product information, documentation, and conversations about local AI.
