Foresight News 消息，0G Labs 已于 2025 年训练出拥有 1070 亿参数的最大去中心化 AI 模型 DiLoCoX-107B，该规模对比 Bittensor 的模型庞大约 48%。DiLoCoX-107B 于 2025 年 7 月完成训练，该模型采用了与中国移动合作开发的技术。在普通 1 Gbps 互联网连接下，其通信效率比标准的 AllReduce 方法高出 357 倍。

<p>Foresight News 消息，0G Labs 已于 2025 年训练出拥有 1070 亿参数的最大去中心化 AI 模型 DiLoCoX-107B，该规模对比 Bittensor 的模型庞大约 48%。DiLoCoX-107B 于 2025 年 7 月完成训练，该模型采用了与中国移动合作开发的技术。在普通 1 Gbps 互联网连接下，其通信效率比标准的 AllReduce 方法高出 357 倍。</p>

0G Labs 已于去年训练出拥有 1070 亿参数的最大去中心化 AI 模型

According to Foresight News , 0G Labs trained DiLoCoX-107B, the largest decentralized AI model with 107 billion parameters, in 2025. This model is approximately 48% larger than Bittensor's models. DiLoCoX-107B was trained in July 2025, using technology developed in collaboration with China Mobile. Under a typical 1 Gbps internet connection, its communication efficiency is 357 times higher than the standard AllReduce method.

<p>According to Foresight News , 0G Labs trained DiLoCoX-107B, the largest decentralized AI model with 107 billion parameters, in 2025. This model is approximately 48% larger than Bittensor&#39;s models. DiLoCoX-107B was trained in July 2025, using technology developed in collaboration with China Mobile. Under a typical 1 Gbps internet connection, its communication efficiency is 357 times higher than the standard AllReduce method.</p>

0G Labs trained the largest decentralized AI model with 107 billion parameters last year.

I. It suddenly started charging money, but you probably didn't even notice.

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