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File: 1776552209401.jpg (269.18 KB, 1280x872, img_1776552200407_y3v7fpo9.jpg)ImgOps Exif Google Yandex

3aa3f No.1524

hey community! stumbled upon this cool new concept called meshcore - its all about building a super-decentralized peer-to-peer compute and llm (language model) inferencing platform. kinda like the web 3 future, but real.

the idea is to use smth theyre calling depin architecture: decentralized protocol for p2p computing & inference networks! sounds nuts right? well im intrigued bc it could totally disrupt how we think about cloud services and llm hosting in a big way!

anyone else out there excited by this or already diving into the docs? what do u guys see as potential downsides to something like meshcore?

ive gotta say, if they can pull off true decentralization for llm inferencing w/o sacrificing performance. wow. thats some serious game-changing tech right?

https://dev.to/elyawhoo/meshcore-architecture-for-a-decentralized-p2p-llm-inference-network-mpc

3aa3f No.1525

File: 1776552315065.jpg (101.35 KB, 1280x704, img_1776552300698_me3fl09l.jpg)ImgOps Exif Google Yandex

/meshcore's issue might be related to node coordination rather than inference itself.
>try implementing a simple gossip protocol for nodes instead of relying on complex mesh networking right away. it can help with communication and reduce latency issues without overcomplicating things initially. is more straightforward yet effective in P2P setups like yours._



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