Mianbi's Songguo Board Brings AI Development to Your Fingertips
Mianbi Intelligence Debuts Game-Changing AI Development Board
In a move that could democratize AI hardware development, Mianbi Intelligence has unveiled its Songguo Board - an edge computing platform designed to bring artificial intelligence capabilities directly into developers' hands.

Power Meets Simplicity
The Songguo Board combines serious computing muscle (275TOPS INT8 performance) with surprisingly accessible development tools. Built around NVIDIA's Jetson modules and packed with microphones, cameras, and multimodal interfaces, it's essentially a Swiss Army knife for AI prototyping.
"We wanted to remove the steep learning curve from AI hardware development," explains a Mianbi spokesperson. "With Songguo, creating intelligent devices should feel more like assembling LEGO than writing complex code."
Natural Language Programming Breakthrough
What truly sets the Songguo apart is its "Agent-native" approach. Developers can now:
- Describe functions in plain English
- Receive automatic code generation
- Test concepts rapidly without deep technical knowledge
The system deeply integrates with Mianbi's MiniCPM edge models, enabling offline multimodal interactions that previously required cloud connections.
From Prototype to Product
The board isn't just for hobbyists. Industrial designers are already eyeing its potential for:
- Smart home controllers that learn resident patterns
- Retail robots processing customer queries locally
- Agricultural sensors making real-time crop decisions
"This could significantly shorten development cycles," notes robotics engineer Lisa Chen. "Having both the hardware and optimized models in one package changes everything."
The Songguo Board begins shipping next quarter through Mianbi's developer network.
Key Points:
- Powerhouse Performance: 275TOPS computing enables complex edge AI tasks
- Plug-and-Play Development: Natural language programming lowers entry barriers
- Complete Ecosystem: Pre-integrated with Mianbi's optimized MiniCPM models
- Offline Capable: Processes data locally without cloud dependency
- Versatile Applications: Supports projects from smart devices to embodied robotics
