0G trains 107B parameter decentralized model with China Mobile, a first for AI above 100 billion parameters
0G Labs has successfully trained a decentralized AI model with 107 billion parameters in collaboration with China Mobile. This achievement marks a significant advancement in communication efficiency, reportedly 357 times better than traditional methods. The project aims to democratize AI training and could reshape the landscape of decentralized AI development.
- ▪0G Labs completed the training of a 107-billion-parameter AI model in July 2025.
- ▪The DiLoCoX framework allows for semi-independent operation of GPU clusters, improving communication efficiency.
- ▪China Mobile's involvement highlights the potential for telecom companies to support decentralized AI training.
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| Original publisher | Crypto Briefing |
| Canonical URL | https://cryptobriefing.com/0g-107b-decentralized-model-china-mobile/ |
| Publication time | Tue, 26 May 2026 22:51:01 +0000 |
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0G trains 107B parameter decentralized model with China Mobile, a first for AI above 100 billion parameters The DiLoCoX framework achieved 357x better communication efficiency than traditional methods, all over standard 1 Gbps network links. Share Add us on Google by Editorial Team May. 26, 2026 window.sevioads = window.sevioads || []; var sevioads_preferences = []; sevioads_preferences[0] = {}; sevioads_preferences[0].zone = "01f21ccf-2092-46b1-9ac7-8c44cc782e0f"; sevioads_preferences[0].adType = "native"; sevioads_preferences[0].inventoryId = "c5700508-581b-472c-8fdd-a931cdbfc8e1"; sevioads_preferences[0].accountId = "1e47efc1-ec2d-4fca-a8b9-354e249e5095"; sevioads.push(sevioads_preferences); Training a 107-billion-parameter AI model is hard enough when you have a warehouse full of…
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