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[lastpost] => 2648254 减半后比特币矿工上个月的表现 大部分收入月降幅不超过15%(转) 1715144471 rainwang
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概述 AI需要大量计算来训练模型和运行推理。在过去的十年中,随着模型变得越来越复杂,计算需求呈指数级增长。例如,OpenAI发现,从 2012 年到 2018 年,其模型的计算需求从每两年翻一番变为每三个半月翻一番。这导致对 GPU 的需求激增,一些加密货币矿工甚至重新利用其 GPU来提供云计算服务。随着访问计算的竞争加剧和成本上升,一些项目正在利用加密技术来提供去中心化计算解决方案。他们以具有竞争力的价格提供按需计算,以便团队能够以经济实惠的方式训练和运行模型。在某些情况下,权衡的是性能和安全性。 最先进的 GPU(例如Nvidia生产的 GPU)的需求量很大。2023年 9 月,Tether收购了德国比特币矿商 Northern Data 的股份,据报道,该公司斥资 4.2 亿美元购买了 10,000 个 H100 GPU(用于 AI 训练的最先进 GPU 之一)。获得一流硬件的等待时间可能至少为六个月,在许多情况下甚至更长。更糟糕的是,公司经常被要求签署长期合同,以获取他们甚至可能不会使用的计算量。这可能会导致存在可用计算但市场上不可用的情况。去中心化计算系统有助于解决这些市场效率低下的问题,创建一个二级市场,计算所有者可以在接到通知后立即转租其过剩容量,从而释放新的供应。 除了有竞争力的定价和可访问性之外,去中心化计算的关键价值主张是抗审查性。尖端AI开发日益由拥有无与伦比的计算和数据访问能力的大型科技公司主导。AI指数报告2023年年度报告中强调的第一个关键主题是,工业界在AI模型的开发方面日益超越学术界,将控制权集中在少数技术领导者手中。这引发了人们的担忧,即他们是否有能力在制定支撑AI模型的规范和价值观方面产生巨大影响力,特别是在这些科技公司推动监管以限制其无法控制的人工智能开发之后。 . \" @" d1 B& U4 w( T1 a& R
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