EDocuments Ltd’s Post

The boom in artificial intelligence (AI) and quantum computing will drive a spike in energy use, the National Grid has predicted. Both rely on data centres - warehouses full of computer systems. Chief executive John Pettigrew said the power those data centres use would increase six-fold in the next decade. He said the grid was becoming "constrained" and "bold action" was needed to create a network able to cope with "dramatically" growing demand. #datacentre #energy #artificialintelligence https://lnkd.in/eapFZxa4

Could energy supply be the downfall of AI? The recent improvement in energy consumption of the NVIDIA Blackwell generation of AI semiconductors obviously focused on power usage for one good reason - there isn’t enough energy to allow AI to expand quickly enough! This is where good old Moore’s law really needs to be held to account by helping reduce power in each generation of AI datacentre solutions. Yes originally it was based around doubling of compute power every year or so but a byproduct of the law was to ensure the doubling of compute capability could be achieved without heat and power loss! It’s clear that to achieve AI gains moving forward power consumption is a key factor and that is going to be the challenge. Perhaps we will see micro or nano datacentres appear near renewable sources with backup power systems as that would speed up construction and reduce the need for grid power transmission lines across the country ie; build power hungry users near the sources? Either way when you ask #chatGPT a question in the future will you need to switch off your kettle first in order to get an answer? #ai #power #sustainability #datacentre #energy https://lnkd.in/exV7Fgsd

An interesting look at how some believe that bottlenecks in the power grid could threaten artificial intelligence innovation in the U.S. See the article from PYMNTS.   "'If the U.S. only relies on traditional approaches to expand the country's power infrastructure to meet AI infrastructure’s voracious appetite for power, the U.S. will fall behind on its plans to lead in AI globally,' Allan Schurr, PE, chief commercial officer at energy transition company Enchanted Rock, told PYMNTS. 'Delays in adding new transmission and generation capacity, which can range from three to 10-plus years, will force companies to seek out alternative locations to support AI infrastructure.'   "The power grid's limitations threaten U.S. competitiveness beyond just tech firms. With retailers, banks and logistics companies all depending on AI for daily operations, infrastructure bottlenecks could slow economic growth across sectors." #powergeneration #powergrid #criticalinfrastructure #powersupply #GridReliability #AI #datacenter #Power #infrastructure #construction #EconomicGrowth #gridmodernization #PCCA https://lnkd.in/eCyFKRxT

Data centres - The environmental cost of both embodied and operational carbon are killers.. Can anyone share the carbon footprint of a data centre - we are currently drawing up ways of reducing the carbon impact .. but need a base line. Is Data as bad as oil n gas?

#Datacentre power use 'to surge six-fold in 10 years' The boom in #artificialintelligence (#AI) and #quantum #computing will drive a spike in energy use, the National Grid has predicted. Both rely on data centres - warehouses full of computer systems. Chief executive John Pettigrew said the #power those data centres use would increase six-fold in the next decade. He said the grid was becoming "#constrained" and "bold action" was needed to create a #network able to cope with "dramatically" #growing demand. "Future #growth in foundational #technologies like artificial intelligence and quantum computing will mean #largerscale, #energyintensive computing #infrastructure," Mr Pettigrew said. The National Grid boss said in a speech on Tuesday, shared on LinkedIn, that now was "a pivotal moment" for grid transformation - with rising demand for energy-hungry technologies and more people opting for #heatpumps or #electriccars. "Today, just like in the 1950s, we find ourselves with a network that's constrained," he said. "Demand on the grid is growing dramatically, and forecast to double by 2050 as heat, transport and industry continue to electrify." The #highvoltage #transmission network of cables and pylons that make up the UK's "#supergrid" is now more than 70 years old. To achieve #netzero emissions by 2050 in line with global targets, grid operators are under pressure to deliver upgrades to current infrastructure that can meet higher consumer demand for #electricity in future and do so sustainably by connecting to #renewable energy sources. We are at "a moment in time that requires innovative thinking and bold actions to create a transmission network for tomorrow's #future," Mr Pettigrew said.

The boom in artificial intelligence (AI) and quantum computing will drive a spike in energy use, the National Grid has predicted. Both rely on data centres - warehouses full of computer systems. Chief executive John Pettigrew said the power those data centres use would increase six-fold in the next decade. He said the grid was becoming "constrained" and "bold action" was needed to create a network able to cope with "dramatically" growing demand. Future growth in foundational technologies like artificial intelligence and quantum computing will mean larger scale, energy-intensive computing infrastructure," Mr Pettigrew said. The National Grid boss said in a speech on Tuesday, shared on LinkedIn, that now was "a pivotal moment" for grid transformation - with rising demand for energy-hungry technologies and more people opting for heat pumps or electric cars. The high-voltage transmission network of cables and pylons that make up the UK's "supergrid" is now more than 70 years old. To achieve net zero emissions by 2050 in line with global targets, grid operators are under pressure to deliver upgrades to current infrastructure that can meet higher consumer demand for electricity in future and do so sustainably by connecting to renewable energy sources. Read more ➡️ https://buff.ly/49cBxhu The Scottish Chambers of Commerce Network is here to support your business - reach out to share your views, concerns and opportunities. #SCCnews #businesssupport #businessnetwork #businessvoice #businessleader Sign up for the Scottish Chambers of Commerce enewsletter at https://buff.ly/3CpsQnu

📰 Climate News [AI] ⚡ Data centre power use 'to surge six-fold in 10 years' https://buff.ly/3IUxID2 The boom in #AI and quantum computing is driving a spike in energy use. The amount of electricity being used by data centres in the country has risen by 400% since 2015 and ignited debate about capacity. #Sustainability #ClimateAction #PledgeForImpact #SDGs #CircularEconomy

In the face of a tech-driven energy surge, there is a critical need for sustainable power solutions. With AI and quantum computing set to increase data center energy use six-fold, the intersection of technology and the energy transition will require energy efficient approaches for thermal management. For example, immersion cooling with FUCHS RENOLIN FECC 7 offers higher processing speeds and greater reliability than conventional air cooling. #ai #quantumcomputing #datacenter #energytransition #immersioncooling #fuchs #renolinfecc7 https://lnkd.in/grAqTCP7

“According to the International Energy Agency (IEA), in 2022, data centres consumed 1.65 billion gigajoules of electricity — about 2% of global demand. Widespread deployment of AI will only increase electricity use. By 2026, the agency projects that data centres’ energy consumption will have increased by between 35% and 128% — amounts equivalent to adding the annual energy consumption of Sweden at the lower estimate or Germany at the top end.” In Nature, Katherine Bourzac interviewed our CEO, Naveen Verma, about how our analog in-memory computing chips are tackling the massive energy demands of AI. By leveraging SRAM technology with crossed metal wires as capacitors, our chips can execute machine learning algorithms at 150 tera operations per second per watt (TOPS)—a significant leap in energy efficiency over the industry standard of 24 TOPS.

Energy suppliers and companies are to play a crucial role in #acceleratedcompute. Delivering #AI - which requires infrastructure for training and inferencing - will be based on, I think, a combination or hybrid of hyperscale / centralised data centers and a number of #edgecomputing data centres. https://lnkd.in/dV2uKQ4z