能源而非算力,可能成为人工智能的真正瓶颈。 犹他州拟建的Stratos数据中心在完全建成后,耗电量可能高达9吉瓦,使其成为全球最大的数据中心项目之一。 这大致相当于纽约市的平均电力需求——或约九座核电站的发电量——仅用于一个数据中心。
Energy, not compute, may become the real bottleneck for AI.
The proposed Stratos data center in Utah could consume up to 9 GW of power at full buildout, making it one of the largest data center projects in the world.
That is roughly comparable to New York City's average electricity demand - or the output of about nine nuclear power plants - for a single data center.