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Powering AI Faster: Turning Data Centers into Grid Assets

Powering AI Faster: Turning Data Centers into Grid Assets

The Machine Room vor 2 Monaten

0:00

22:03

As AI drives unprecedented demand for computing capacity, data
centres are becoming larger, denser and more concentrated than
anything the electricity grid has previously been designed to
serve. In this episode, Kevin Brown speaks with Anuja Ratnayake,
Emerging Technology Executive and DCFlex Lead at EPRI, about the
growing gap between the speed at which AI infrastructure needs
power and the time required to expand the grid.

Anuja explains how flexibility could help close that gap. Rather
than treating data centres as conventional demand-response
participants, EPRI’s DCFlex initiative is exploring how they
could connect through more flexible service agreements and
operate as responsive grid resources. This could allow new
facilities to access power sooner while longer-term transmission
and generation upgrades are completed.

The conversation also explores the collaboration required to make
this possible. Utilities, data centre operators, technology
providers, regulators and grid organisations need a common
understanding of what flexibility means and how it can be
delivered without compromising performance, reliability or
affordability. While significant technical and operational
questions remain, Anuja believes the industry has the innovation,
motivation and partnerships needed to address this
once-in-a-generation challenge.

Featured guest: Anuja Ratnayake, Emerging Technology Executive
and DCFlex Lead, EPRI

Key quote: “The fundamental economic driver is not about making
the marginal revenue in an hour. It’s about the opportunity cost
of not having access, period.”

Key takeaways:

AI data centers can represent loads of hundreds of megawatts
or even gigawatts at a single grid connection point.

Providing firm, continuous power to facilities of this scale
can require major transmission upgrades and significantly
longer connection timelines.

Flexible or non-firm grid connections could help data centres
access power sooner while wider infrastructure is
developed.

The commercial value of flexibility comes primarily from
accelerating time to power, rather than earning traditional
demand-response payments.

Data centers can use a combination of computing workloads,
auxiliary systems, energy storage and on-site generation to
respond to grid requirements.

Collaboration across the data centre and electricity
industries will be essential to protect grid reliability and
affordability while supporting AI growth.

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power, cooling and infrastructure challenges behind AI.