how AI datacentres can support a smarter and more flexible grid during a live trial later this year<\/a>.<\/p>\nThe National Grid\u2019s innovation and investment arm, National Grid Partners, has also made a \u201cstrategic investment\u201d in Emerald AI as part of this technology tie-up, it has emerged.<\/p>\n
The partnership will see the pair make use of the Emerald AI Conduction platform, which allows AI datacentres to adjust how much power they draw from the grid based on the work they are doing, to see if it is possible to make better use of the National Grid\u2019s existing capacity to power server farms.<\/p>\n
The live trial will also make use of Nvidia graphics processing units (GPUs) to dynamically adjust energy consumption and support grid stability, and showcase how the energy consumption of a wide variety of AI workloads can be adjusted in real time.\u00a0For instance, by changing the type of compute activity going on in the datacentre when the grid is under pressure.<\/p>\n
\u201cThe electricity transmission network is designed with built-in redundancy to deliver world-class reliability and keep the lights on for customers. Capacity is typically available outside of peak events like hot summer days or cold winter storms, when there\u2019s high demand for cooling and heating,\u201d said the National Grid.\u00a0<\/p>\n
\u201cThat means, in many cases, there\u2019s room on the existing grid to connect new datacentres, if they can temporarily dial down energy usage during periods of peak demand.\u201d\u00a0<\/p>\n
It is hoped the trial will provide the National Grid with more insight into how it can balance the growing demands placed on the nation\u2019s energy supplies by datacentres without over-investing unnecessarily in new energy infrastructure.<\/p>\n
\u201cBy increasing the utilisation of existing electricity infrastructure, National Grid, working closely with the National Energy System Operator, can better manage growing demand, attract investment in advanced computing, and support the UK\u2019s transition to a more efficient and flexible energy system,\u201d said the National Grid.<\/p>\n
Steve Smith, chief strategy and regulation officer at National Grid, said that as the UK\u2019s digital economy continues to grow, so does the need to unlock new ways to flexibly manage the nation\u2019s energy supplies, while adding new datacentres to the network.<\/p>\n
\u201cThis ground-breaking trial with Emerald AI demonstrates how innovative technologies can help us optimise the grid, enable increased investment in advanced computing, and deliver real benefits to the wider UK economy,\u201d said Smith.<\/p>\n
\u201cWe\u2019re excited to collaborate with Emerald AI and other partners as we progress this project, exploring how smart solutions can support economic growth and the nation\u2019s future connectivity needs.\u201d<\/p>\n
Varun Sivaram, founder and CEO of Emerald AI, said the partnership should also prove that AI datacentres do not have to be a burden on the grid, but can also be a critical asset to it.<\/p>\n
\u201cTogether with National Grid, we\u2019re proving that flexible AI factories can accelerate AI innovation in the UK while enhancing reliability and affordability for everyone connected to the grid,\u201d said Sivaram.<\/p>\n","protected":false},"excerpt":{"rendered":"
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