比特币矿工越来越多地通过人工智能盈利

cryptonews.ruPublished on 2026-08-14Last updated on 2026-08-14

Abstract

比特币矿工正日益转向人工智能领域获利。公开上市的比特币矿企正以比全网算力下降更快的速度削减计算能力,运营商正将电力与数据中心基础设施更多地重新分配给人工智能和高性能计算任务,整个行业正逐步远离纯粹的加密货币挖矿。 咨询公司BlocksBridge Consulting数据显示,从2025年第四季度到2026年第二季度,一组大型比特币矿企的已实现算力从368.3 EH/s下降至319 EH/s,降幅达13.4%。若排除持续专注于挖矿的Bitdeer公司,该群体算力降幅则高达21.2%。同期,比特币全网平均算力下降了10.6%,表明大型矿企的产能收缩速度明显快于市场整体。 这一转变伴随着矿企来自非比特币挖矿业务的收入份额不断增长。例如,Core Scientific第二季度来自算力租赁的收入达1.367亿美元,远超挖矿带来的2750万美元;TeraWulf的HPC算力租赁收入为3190万美元,也高于挖矿收入的1280万美元。而Riot Platforms和Bitdeer目前仍处于业务模式转型的早期阶段,挖矿收入在其上季度总收入中仍占主导。 当前下滑被专家视为始于2021年中国禁止比特币挖矿后的一个周期逆转。当年的禁令导致全网算力骤降,随后矿企将设备大规模转移至海外,尤其是在北美,这刺激了上市矿企的扩张。然而,经历一次减半周期后,行业经济模式已发生根本变化。挖矿利润微薄,加之自2022年以来对AI基础设施的需求激增,促使许多上市矿企开始将场地和能源完全转向其他用途。 行业正出现结构性转变:部分公司通过AI和HPC实现业务多元化,而Bitdeer、Riot Platforms等其他公司则继续专注于扩大传统比特币挖矿规模。 从技术角度看,将挖矿设施转向AI任务并非直接过程。挖矿数据中心最初为ASIC设备设计,其冷却和能耗模式与运行神经网络所需的GPU不同,存在技术兼容性挑战。因此,算力下降13.4%反映的并非业务转型的完成,而是资本密集型、耗时的基础设施改造的开始。 这种转型的经济模式比传统挖矿更为稳定:AI和HPC的算力租赁合同通常能锁定未来多年的收入,而比特币挖矿收入完全依赖于资产价格波动。但当前算力统计数据尚未揭示,若未来AI模型训练的计算需求降温,这种模式的吸引力是否能持续。

公开交易的比特币矿工正在以快于全网算力下降的速度削减计算能力——运营商正越来越多地将电力供应和数据中心基础设施转向人工智能和高性能计算任务。该行业正在越来越远离纯粹的加密货币挖矿。

根据最新一期《矿工周刊》通讯,咨询公司BlocksBridge Consulting报告称,一组大型比特币矿商的已实现算力已从2025年第四季度的368.3 EH/s降至2026年第二季度的319 EH/s。降幅达13.4%。

Bitdeer在同行中脱颖而出

如果将比特小鹿排除在计算之外,这一下降趋势则更为明显,因为与大多数竞争对手不同,该公司继续专注于挖矿业务。不计比特小鹿,该集团算力在半年内下降了21.2%,从324.6 EH/s降至255.9 EH/s。而比特小鹿自身的算力则增长了44%,达到63 EH/s。

相比之下,同期比特币全网平均算力下降了10.6%。这表明,大型矿商削减产能的速度明显快于整个市场。

收入正向人工智能基础设施倾斜

这一转变的背景是,越来越多的矿商报告称,来自非比特币挖矿业务的收入份额正在增长。Core Scientific在第二季度获得了1.367亿美元的算力租赁收入,而挖矿仅为其带来2750万美元。TeraWulf报告来自高性能计算租赁的收入为3190万美元,而挖矿收入为1280万美元。

Riot Platforms和比特小鹿目前正处于转向其他盈利模式的更早阶段——在上一季度,比特币挖矿仍占其收入的大部分。

专家将当前的衰退描述为始于2021年中国禁止比特币挖矿之后的一个周期逆转。当时的禁令引发了比特币网络历史上最严重的算力下跌之一,随后又快速恢复——矿工们大规模将设备转移到海外。

在北美,这次迁移刺激了公开矿商的扩张:这些公司筹集资金并收购新的、可获得电力以增加产能的场地。经历一次减半周期后,行业的经济模式已发生根本性变化。挖矿利润薄弱,加上自2022年以来对人工智能服务基础设施的需求不断增长,促使许多公开矿商将场地和电力产能完全改造用于其他任务。

因此,统计数据记录了这个行业的结构性转变:一部分参与者正押注于通过人工智能和高性能计算实现业务多元化,而包括比特小鹿和Riot Platforms在内的其他公司则继续扩张传统的比特币挖矿业务。

人工智能观点

从机器数据分析的角度来看,将挖矿算力重新部署用于人工智能任务的过程,远比算力统计数据显示的要复杂。挖矿数据中心最初是为ASIC设备设计的,其冷却和能耗方案与神经网络所需的图形处理器不同。类似的技术不兼容问题之前已经讨论过:挖矿场地几乎不适合运行神经网络,因为对设备的要求不同。由此可见,算力下降13.4%反映的并非业务转型已经完成,而是一场资本密集型且耗时的基础设施重建的开始。

这种转型的经济模式比传统挖矿明显更稳定:用于人工智能和高性能计算的算力租赁合同通常能将收入锁定多年,而比特币挖矿收入则完全取决于主要资产的币价。当用于模型训练的计算需求降温时,这种模式的吸引力是否还能持续——这是当前算力统计数据尚未触及的问题。

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Related Questions

Q根据文章,比特币公开矿工(公共矿工)为何以及如何减少其比特币挖矿业务?

A公共比特币矿工正将其数据中心的电力和基础设施更多地重新配置用于人工智能(AI)和高性能计算(HPC)任务,从而逐步远离纯粹的加密货币挖矿。这是为了应对比特币挖矿盈利能力疲软以及自2022年以来对AI基础设施不断增长的需求。具体表现为,在2025年第四季度至2026年第二季度期间,一组大型矿工的已实现算力下降了13.4%(若不计Bitdeer则下降21.2%),远高于同期比特币全网平均算力10.6%的降幅。

Q在所有提到的公开矿工中,哪家公司在策略上与同行截然不同?其表现如何?

ABitdeer公司在策略上与大多数同行截然不同。在其他公司缩减比特币挖矿业务并转向AI/HPC时,Bitdeer继续专注于挖矿。其算力在同一时期(2025年第四季度至2026年第二季度)反而增长了44%,达到63 EH/s。

Q文章提到了哪些公司作为业务重心从比特币挖矿向AI/HPC基础设施租赁转变的典型例子?

ACore Scientific 和 TeraWulf 是业务重心转变的典型例子。Core Scientific在2026年第二季度从基础设施租赁中获得了1.367亿美元收入,而挖矿仅带来2750万美元。TeraWulf从HPC(高性能计算)租赁中获得了3190万美元收入,而挖矿收入为1280万美元。

Q文章指出,矿工从比特币挖矿转向AI/HPC业务面临的主要技术挑战是什么?

A主要技术挑战是挖矿数据中心最初是为ASIC设备设计的,其冷却和能耗方案与AI神经网络所需的GPU不同。这种技术不兼容意味着将挖矿设施直接改造用于AI计算并非易事,而是一个资本密集且耗时的基础设施重建过程。

Q文章最后部分提到的AI观点认为,向AI/HPC转型的经济模式相比传统挖矿有何主要优势?同时存在什么潜在风险?

A主要优势在于经济模式更稳定:AI和HPC的算力租赁合同通常提前多年锁定收入,而比特币挖矿收入完全依赖比特币价格的波动。潜在风险是,这种模式的吸引力是否能在AI模型训练的计算需求降温时持续下去,这是一个当前算力统计数据尚未涉及的问题。

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1.9k Total ViewsPublished 2025.05.13Updated 2025.05.13

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