AI Infra is one of the most important components or layers of an AI Stack as well as PaaS in Cloud Computing. It connects the basic AI Computing layer with the user-facing App layer.
Therefore, AI systems cannot function without effective infrastructure. But at present Some large tech companies, such as OpenAI, IBM, Amazon, and Google, have a monopoly over this layer. (alongside other companies) AI access for millions of users and 72% of organizations worldwide It depends on these companies as well.
Decentralized EdgeAI can solve this problem. It compensates for centralized domination to improve democracy and access. Network 3For example, it combines decentralized physical infrastructure (DePIN), EdgeAI, and AI Infra to enable privacy-preserving community-led AI that runs on any device.
AI that works everywhere
In addition to security and privacy concerns, Extensive resource usage is also a major disadvantage of BigAI systems. LLM training such as GPT-3 is expensive everywhere. Between $500,000 and $4.6 million For example. This creates a high barrier for small organizations. and strengthen Big Tech’s monopoly.
However, with EdgeAI, developers can train and deploy models on small devices. Anything from smartphones to IoT devices First, it reduces reliance on giant servers and data centers owned by giants. And secondly Helps to expand access.
However, unless EdgeAI-enabled devices can communicate or share resources, AI systems will only have access to limited processing and storage space. This hampers their growth and efficiency.
Toward AI collaboration
Going beyond existing model development methods such as Federated Learning, Distributed Deep Learning, etc., Network3’s innovative decentralized learning framework promotes collaborative AI training.
DePIN and EdgeAI meet in this new paradigm. This allows multiple devices or ‘nodes’ to pool processing and other resources. Anonymous Certificateless Signcryption (CLSC) also facilitates secure sharing of private data with strong homomorphic encryption. The framework also uses Reed-Solomon encoding for optimal data accuracy coupled with anti-tracking features.
Edge devices in the Network3 ecosystem perform local analysis. As a result, the system responds in real time and with low latency. It also sends updates only to specific models. This reduces bandwidth requirements and allows devices to operate with limited bandwidth.
Decentralized EdgeAI Infra thus marks a major shift in community-led AI. It tackles centralized monopoly and a resource crisis all at once.
Moreover, the integration of crypto assets and blockchain economics unlocks new revenue streams for developers and users. In addition to making money from excess processing and storage space on personal devices, They also received “Prompt to Earn” and other monetization models
Last but not least, Network3’s Local LLM is free to use worldwide. without barriers at the regional level This reflects the degree to which decentralized infrastructure improves access to AI.
AI is one of the most powerful and innovative technologies since the internet. Everyone, from the tiniest individual to the largest organization, is bound to reap its benefits. without either side extracting excess profits.
The future lies in AI systems that are owned by everyone and owned by no one. That’s the only way AI will benefit humanity as a whole. This is the ideal purpose of technology this powerful.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.
Source link