AI Infra is one of the most critical components or layers of the AI stack. Like PaaS in Cloud Computing, it connects the foundational AI Computing layer with the user-facing App layer.

Thus AI systems cannot function without efficient Infra. Yet currently, a few Big Tech firms like OpenAI, IBM, Amazon, and Google have a monopoly over this layer (alongside every other). AI access for millions of users and 72% of global enterprises depends on these firms as a result. 

Decentralized EdgeAI can fix this, offsetting centralized dominance to improve democratization and accessibility. Network3, for example, combines Decentralized Physical Infrastructure (DePIN), EdgeAI, and AI Infra to enable privacy-preserving, community-led AI that runs on any device. 

AI that runs anywhere

Besides security and privacy concerns, extensive resource usage is a key downside of BigAI systems. Training LLMs like GPT-3 costs anywhere between $500K to $4.6 million for example. This raises the barrier to high for smaller entities, further consolidating Big Tech’s monopoly. 

With EdgeAI, however, devs can train and deploy models on smaller devices—anything from smartphones to IoT appliances.

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Author: Adrian Barkley