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Meshcore proposes a peer-to-peer architecture that enables distributed large language model inference without centralized servers.

Hacker News · April 18, 2026

Meshcore proposes a peer-to-peer architecture that enables distributed large language model inference without centralized servers.

AI Summary

  • Meshcore introduces a decentralized network design for running LLM inference across connected nodes rather than relying on centralized cloud infrastructure
  • The P2P architecture aims to reduce latency, improve privacy, and distribute computational load across participating computers
  • This approach could democratize access to large language models by leveraging existing hardware in a mesh network topology

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