AI Computing Shifts from Cloud to Edge with Verifiable Mesh Networks

🤖 AI Ditches the Cloud

By dMeet
Nov 6, 2025, 4:37 PM
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AI infrastructure is fundamentally shifting from centralized data centers to distributed edge computing networks.​

  • Cisco and other $50B+ infrastructure companies are moving compute closer to users
  • The next decade will focus on millions of micro-AI nodes rather than larger cloud systems
  • Each node must prove its integrity in real-time through verifiable processes

dTel_org has built a solution - a verifiable mesh network where:

  • Every interaction (frame, packet, inference) is cryptographically signed
  • All processes are timestamped and trustless by design
  • Real-time AI operations can maintain data integrity

This shift addresses critical issues with centralized systems:

  • Unacceptable latency for real-time applications
  • Data sovereignty concerns
  • Need for local processing of sensitive information

The infrastructure enables secure, decentralized computation on locally-generated data while maintaining privacy and performance standards required for physical AI applications like robots, drones, and wearables.​

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DePIN Market Set to Hit $3.5T by 2028, Surpassing Global Telecom

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