TechCrunch News 02月13日
Data center tweaks could unlock 76 GW of new power capacity in the U.S.
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面对人工智能的空前发展,科技公司和电力公司对美国电力需求激增感到担忧。然而,一项新研究表明,如果数据中心运营商和其他用电大户略微减少用电量,情况可能不会那么糟糕。通过将电网的电力消耗限制在最大值的90%,每次几个小时,每年大约一天,美国就能释放76吉瓦的容量。这超过了高盛估计的全球所有数据中心的使用量。数据中心可以通过时间灵活性、空间灵活性以及利用备用电源等方式来减少用电量,从而缓解电力危机。

⏰ 时间灵活性: 数据中心可以将计算任务转移到需求较低的时间段。例如,人工智能模型训练可以很容易地重新安排,以适应短暂的电力削减。

🌍 空间灵活性: 公司可以将计算任务转移到没有经历高需求的地区。即使在数据中心内部,运营商也可以整合负载并关闭一部分服务器。

🔋 备用电源: 如果任务至关重要,无法延迟或转移,数据中心运营商可以转向替代电源来弥补任何削减。电池非常适合这种情况,因为即使是适度规模的装置也可以几乎立即提供数小时的电力。

🤝 需求响应计划: 公用事业公司长期以来一直鼓励大型电力用户在需求高峰期减少用电量,并给予一定的费用减免。数据中心可以参与需求响应计划,通过减少用电量来获得收益,同时稳定电网。

Tech companies, data center developers, and power utilities have been panicking over the prospect of runaway demand for electricity in the U.S. in the face of unprecedented growth in AI.

Amidst all the hand wringing, a new paper published this week suggests the situation might not be so dire if data center operators and other heavy electricity users curtail their use ever so slightly.

By limiting power drawn from the grid to 90% of the maximum for a couple hours at a time — for a total of about a day per year — new users could unlock 76 gigawatts of capacity in the United States. That’s more than all data centers use globally, according to Goldman Sachs. To put that number into perspective, it’s about 10% of peak demand in the U.S.

If data centers were to curtail their use more, they could unlock progressively more capacity.

Such programs aren’t exactly new. 

For decades, utilities have encouraged big electricity users like shopping malls, universities, and factories to curtail their use when demand peaks, like on hot summer days. Those users might turn down the air conditioning or turn off thirsty machines for a few hours, and in return, the utility gives them a credit on their bill.

Data centers have largely sat on the sidelines, instead opting to maintain uptime and performance levels for their customers. The study argues that data centers could be ideal demand-response participants because they have the potential to be flexible.

There are a few ways that data centers can trim their power use, the study says. One is temporal flexibility, or shifting computing tasks to times of lower demand. AI model training, for example, could easily be rescheduled to accommodate a brief curtailment. 

Another is spatial flexibility, where companies shift their computational tasks to other regions that aren’t experiencing high demand. Even with data centers, operators can consolidate loads and shut down a portion of their servers.

And if tasks are mission critical and can’t be delayed or shifted, data center operators can always turn to alternative power sources to make up for any curtailment. Batteries are ideally suited for this since even modestly sized installations can provide several hours of power almost instantaneously. 

Some companies have already participated in ad hoc versions of these. 

Google has used its carbon-aware computing platform, originally developed to trim emissions, to enable demand response. Enel X has worked with data centers to tap into the batteries in their uninterruptible power supplies (UPS) to stabilize the grid. And PG&E is offering to connect data centers to the grid quicker if operators agree to participate in a demand response program.

These tweaks won’t completely eliminate the need for new sources of power. But they might turn a potentially catastrophic situation — in which half of all new AI servers are underpowered — into one that’s more easily solved.

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人工智能 数据中心 电力需求 需求响应 能源效率
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