Vision
EdgeMob envisions a future where mobile devices form the backbone of global AI infrastructure. Instead of relying on centralized GPU clusters in remote datacenters, inference and compute are performed directly on smartphones, tablets, and other personal devices. This vision unlocks a more democratic, cost-efficient, and privacy-preserving approach to artificial intelligence.
The EdgeMob ecosystem is designed to empower three primary groups:
Developers Give developers the ability to load both custom and open-source models directly into the EdgeMob app, test them locally, and expose them via the EdgeMob API Gateway. This lowers barriers to experimentation and accelerates innovation.
Decentralized Applications (dApps) Enable Web3 applications to use EdgeMob as a decentralized AI backend. Whether it’s powering DeFi analytics, scientific research (DeSci), NFT intelligence, gaming NPCs, or privacy-preserving background jobs, EdgeMob makes AI compute accessible without cloud costs.
Mobile Node Operators Turn billions of idle devices into active compute contributors. Users can opt-in to rent their device’s CPU and memory, earning EGMO tokens in exchange for serving inference or batch compute tasks.
In the long term, EdgeMob aims to support not just inference but also background batch processing, fine-tuning, and model training across distributed devices. By incorporating support for custom MCP servers and extensible toolkits, EdgeMob evolves into a full-stack mobile AI infrastructure capable of handling diverse workloads.
The ultimate vision is clear: EdgeMob will redefine how AI is delivered by unlocking the largest untapped compute layer on Earth—smartphones. Through this ecosystem, AI becomes more decentralized, resilient, and inclusive, paving the way for a new era of applications that benefit from mobile-native compute.
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