Access your local models from anywhere over WebRTC!
The article describes a system that allows users to access their local AI models remotely using WebRTC, enabling shared hardware and community resource sharing.
Why it matters
This system enables more accessible and affordable access to local AI models, which can benefit individuals and small teams who cannot afford expensive AI hardware.
Key Points
- 1Enables remote access to local AI models using WebRTC
- 2Addresses the high cost of AI hardware by allowing shared access
- 3Provides a community-driven resource sharing platform for local AI needs
Details
The author has developed a system that allows users to access their local AI models, such as LLMs, from anywhere using WebRTC. The system consists of a desktop application called MyDeviceAI-Desktop that runs the AI models and a mobile app called MyDeviceAI that connects to the desktop app over WebRTC. The desktop app generates a room code that users can enter in the mobile app to connect and access the local models. The system addresses the high cost of AI hardware by enabling shared access, and it also promotes community-driven resource sharing for local AI needs. The author has faced technical challenges, such as implementing the WebRTC signaling protocol and addressing the limitations of the signaling server, and has developed solutions to overcome these challenges.
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