The system tested is very flexible and doesn't require much advanced scheduling. Testing showed that it took less than a minute for a data center operator to reduce the amount of power it used to around 66%, and that one data center could even run at just 10% capacity for 10 hours.
This isn’t an ideal scenario for many hyperscalers, especially as they need as much power as they can get to maximize their expensive GPUs. However, insisting on this capability means that they’ll have to wait for the local grid to catch up (which can take years, if not decades), or they’ll have to deploy their own onsite generators (which can get expensive, unless they have deep pockets like OpenAI , and come with their own set of challenges ).
U.S. electricity grid stretches thin as data centers rush to turn on onsite generators
Anthropic promises to pay for electricity price increases due to it's AI data centers
Data center developers building private natural gas 'Shadow Grid' power plants to sidestep strained grids
This would be a win-win situation if both data centers and electricity grid operators could agree to run a system like this, as it would allow the former to expedite connecting their infrastructure to power while the latter could maximize their capacity even during off-peak hours. In fact, many utility companies already have a system that monitors spikes in demand and supercharges the grid as needed.
There is a phenomenon called “The Great British Kettle Surge,” wherein U.K. power providers prepare the electricity grid for the expected surge during breaks on popular TV events like the World Cup. This happens because millions of households boil their kettles simultaneously during these breaks, resulting in a sudden peak in power demand for a few minutes.
Now, instead of pouring in more electricity from power plants, which we’re already in short supply of, the operators could just ask AI data centers, which are one of, if not the biggest, power consumers, to reduce their demand. It might take some time and maybe some push from regulators before this can be implemented, but it’s a good short-term solution that will allow data centers to go online as soon as possible without breaking the grid.
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Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-backed-trial-shows-ai-data-centers-can-flexibly-adjust-power-use-in-near-real-time-with-global-implications-for-energy-consumption-suggests-hyperscalers-can-reduce-consumption-as-necessary-ensuring-grid-isnt-overloaded-during-peak-demand#main
- https://www.tomshardware.com
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