去中心化GPU网络在人工智能领域还有哪些角色？

Cointelegraph...02-02

去中心化GPU网络将自身定位为运行AI工作负载的低成本层，而最新模型的训练仍然集中在超大规模数据中心内。前沿AI训练涉及构建最大、最先进的系统，这一过程需要数千枚GPU高效协同运行。这种级别的协作使得去中心化网络在顶级AI训练中难以实现，因为互联网的延迟和可靠性无法与集中式数据中心中高度耦合的硬件相提并论。大多数生产环境下的AI工作负载并不类似于大规模模型训练，这为去中心化网络承接推理和日常任务...

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