🚄iG3: The Edge Network for Real-Time AI Interaction

The rise of large language models (LLMs) has fundamentally changed how humans interact with machines. These models can understand and generate human like language, making conversations with AI feel more natural.

From writing and research to coding and customer support, LLMs are now helping people work, learn, and create in smarter, faster ways. They’ve turned machines into collaborators, not just tools. However, the current dominant model, cloud based AI inference, suffers from latency, privacy concerns, and scalability limitations.

iG3 proposes a new paradigm: a decentralized edge computing network powered by thousands of AI enabled devices across the globe, providing instant, private, and cost effective real time AI interaction.

These devices form the first inference layer, while high-power data centers with H100/H200 GPUs serve as the fallback for complex requests. Powered by a tokenized incentive system and DID integration on the peaq network, iG3 offers a robust infrastructure for education, entertainment, and productivity use cases.