Tag: Power

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Big tech companies are increasingly adopting nuclear power to meet the high energy demands of their AI data centres

Data centre powered by nuclear reactors

Why?

Elevated Energy Needs

AI systems, particularly generative AI, necessitate substantial computational power, leading to significant energy use. Conventional energy sources might not meet these growing demands.

Environmental Commitments

Numerous tech firms have pledged to lower their carbon emissions. Nuclear power, a low-emission energy source, supports these environmental commitments.

Dependability

Nuclear energy offers a consistent and uninterrupted power supply, essential for data centres that operate around the clock.

Technological Advancements

Progress in nuclear technologies, such as small modular reactors (SMRs), has enhanced the feasibility and appeal of nuclear power for extensive use.

For example, Google has entered into an agreement with Kairos Power for electricity from small modular reactors to bolster its AI operations. In a similar vein, Microsoft has collaborated with Constellation to refurbish an inactive reactor at the Three Mile Island nuclear facility.

These collaborations mark a notable transition in the energy strategies of the tech sector, as they pursue dependable, eco-friendly, and robust power solutions to support their AI initiatives.

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Company says it can cut data centre energy use by 50% as AI boom places increased strain on power grids

Power hungry data centre

Major technology corporations such as Microsoft, Alphabet, and Meta are channelling billions into data centre infrastructures to bolster generative AI, which is causing a spike in energy demand.

Sustainable Metal Cloud has announced that its immersion cooling technology is 28% less expensive to install compared to other liquid-based cooling methods and can cut energy use by up to 50%.

The surge in artificial intelligence has increased the need for more robust processors and the energy to cool data centres.

This presents an opportunity for Sustainable Metal Cloud, which runs ‘sustainable AI factories’ consisting of HyperCubes located in Singapore and Australia.

These HyperCubes house servers equipped with Nvidia processors immersed in a synthetic oil known as polyalphaolefin, which is more effective at dissipating heat than air. The company claims this technology can reduce energy consumption by as much as 50% when compared to the conventional air-cooling systems found in most data centres.

Additionally, the Singapore-based company states that its immersion cooling technology is more cost-effective to install by 28% than other liquid cooling options. The HyperCubes are modular and can be integrated into any data centre, utilising spaces that are currently unoccupied within existing facilities.

What is a Hypercube?

  • Structure: A hypercube topology connects nodes in a way that each node is connected to others in a manner similar to the geometric hypercube. For example, in a 3-dimensional hypercube (a cube), each node is connected to three other nodes.
  • Scalability: This structure allows for efficient scaling. As the number of dimensions increases, the number of nodes that can be connected grows exponentially.
  • Fault Tolerance: Hypercube networks are known for their robustness. If one connection fails, there are multiple alternative paths for data to travel, ensuring reliability.

Benefits in data centres

  • High Performance: The multiple pathways in a hypercube network reduce latency and increase data transfer speeds, which is crucial for big tech companies handling vast amounts of data.
  • Efficient Resource Utilisation: The topology allows for better load balancing and resource allocation, optimising the performance of data centres.
  • Flexibility: Hypercube networks can easily adapt to changes in the network, such as adding or removing nodes, without significant reconfiguration.
  • Big Tech Companies: Companies like Google, Amazon, and Microsoft likely use hypercube topologies in their data centres to ensure high performance and reliability.
  • High-Performance Computing (HPC): Hypercube networks are also used in supercomputers and other HPC environments where efficient data transfer is critical.
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AI energy consumption is shocking!

AI Energy Consumption

Powering artificial intelligence (AI) models takes a substantial toll on our planet’s energy resources.

Delving deeper into AI, it becomes crucial to comprehend the environmental impact of this technological revolution.

Current trends

A new peer-reviewed study featured in ‘Joule‘ highlights the significant energy requirements of AI. The research, carried out by Alex de Vries, a data scientist at the Dutch central bank, provides a quantification of the energy usage linked to the trends in AI capacity and adoption.

The energy appetite of AI

The AI industry is experiencing rapid growth as major technology companies incorporate AI-driven services into their platforms. These applications require significantly more power than traditional ones, resulting in online interactions that are more energy-intensive.

Projected impact

Continuing on the present course, NVIDIA could be dispatching 1.5 million AI server units each year by 2027. If these servers were to run at maximum capacity, they would consume a minimum of 85.4 terawatt-hours of electricity annually. For comparison, this amount of energy surpasses the yearly consumption of numerous small nations.

Comparisons

By 2027, it is projected that global AI-related electricity consumption may rise by 85 to 134 terawatt-hours (TWh) annually. This estimate is on par with the yearly electricity requirements of nations such as the Netherlands, Argentina, and Sweden.

Why sustainability matters

While AI heralds significant breakthroughs, its sustainability is a crucial risk factor to consider. Picture Google’s search engine evolving into a ChatGPT-style chatbot, managing nine billion interactions daily. This would cause energy demands to soar, matching the consumption of a nation like Ireland. Although this scenario isn’t immediately likely due to logistical limitations, it highlights the resource-intensive nature of generative AI applications.

As we explore the AI domain, sustainability should not be neglected. Discussing AI’s risks, such as errors and biases, should also include its environmental impact. Innovation must be balanced with responsible energy use for a sustainable future.

Conclusion

In essence, AI’s demand for power is substantial, and the challenge is to leverage its capabilities while reducing its environmental impact. We must proceed with caution to ensure our technological advances do not compromise the health of our planet.

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Global electricity energy demanded by BIG tech

Electricity infrastructure

Many large tech companies are planning to create their own energy supply or source power from 100% renewable generators. 

This is mainly because they have high electricity consumption, especially for their data centres, and they want to reduce their carbon footprint and achieve net-zero emissions targets.

BIG tech companies that are generating their own energy or investing in renewable energy projects

Apple

The company claims that it is already powered by 100% renewable energy across its global operations, including its data centres, offices, and retail stores. It also plans to become carbon neutral across its entire supply chain by 2030. Apple has invested in various renewable energy projects, such as solar farms in China, wind turbines in Denmark, and biogas fuel cells in the U.S.

Google

The company has been matching its annual electricity consumption with renewable energy purchases since 2017, and aims to run on carbon-free energy 24/7 by 2030. Google has also been investing in renewable energy projects, such as offshore wind farms in Europe, solar plants in Chile, and geothermal power in Nevada .

Amazon

The company has committed to reaching net-zero carbon emissions by 2040, and to power its operations with 100% renewable energy by 2025. Amazon has also been investing in renewable energy projects, such as solar rooftops in India, wind farms in Ireland, and hydroelectric plants in Sweden. 

Estimated current electricity demand

The global electricity energy demand is the amount of electricity that the world needs in a given day. It can be calculated by multiplying the average global electricity demand in GW by 24 hours. According to the International Energy Agency (IEA), the average global electricity demand in 2020 was about 3 TW or 3 000 GW. This means that the global electricity energy demand in 2020 was about 72000 GWh or 72 TWh per day.

BIG tech companies are generating their own energy or investing in renewable energy projects – how green is it really?

However, this is an average value, and the actual demand may vary depending on the season, time of day, weather, and other factors.

Energy requirement

The global electricity energy demand is expected to increase in the future, as population grows and living standards improve. The IEA projects that the average global electricity demand will reach 3.8 TW or 3 800 GW by 2030 and 5.2 TW or 5 200 GW by 2050 in the Announced Pledges Scenario, which reflects the full implementation of net-zero emissions targets by some countries and regions. This implies that the global electricity energy demand will reach 91 200 GWh or 91.2 TWh per day by 2030 and 124 800 GWh or 124.8 TWh per day by 2050.

Energy sources to change

The sources of electricity generation will also change in the future, as renewable technologies such as solar PV and wind become more dominant and coal use declines. The IEA reports that the main sources of electricity generation in 2020 were coal (34%), natural gas (23%), hydropower (16%), nuclear (10%), wind (8%), solar PV (4%), biofuels and waste (3%), and other renewables (2%). In the Announced Pledges Scenario, renewables in electricity generation rise from 28% in 2021 to about 50% by 2030 and 80% by 2050.

The world counts.

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Powering the UK from energy generated in Morocco

Energy from Xlinks project

The Xlinks Morocco-UK Power Project is a proposal to create a large-scale renewable energy complex in Morocco and feed the electricity to the UK via a long underwater cable.

Key facts

12 million solar panels, 530 wind turbines over 62 square miles.

  • The project aims to produce 10.5 GW of clean power from solar and wind facilities in Morocco’s Guelmim Oued Noun region. This is equivalent to about 10% of the UK’s electricity demand.
  • The project also plans to build a 20 GWh/5 GW battery storage facility to ensure a stable and reliable supply of electricity.
  • The project will use proven high-voltage direct current (HVDC) interconnector technology to transmit the electricity to the UK via a 3,800 km route under the seabed. The cable will connect to two locations in Devon and Wales, each with a capacity of 1.8 GW.
  • The project will create over 11,000 new green jobs in the UK and Morocco, and contribute to their renewable industrial ambitions. It will also diversify the UK’s energy sources and reduce its dependence on EU interconnectors, LNG imports, and biomass from North America.

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  • The project is seeking a 25-year contract with the UK government to guarantee a fixed electricity price and secure financing for the £20 billion investment. 
  • It hopes to start construction in 2024 and deliver power to the UK by 2028.

Entirely powered by sun and wind

The Xlinks Morocco-UK Power Project will be a new electricity generation facility entirely powered by solar and wind energy combined with a battery storage facility. Located in Morocco’s renewable energy rich region of Guelmim Oued Noun, it will be connected exclusively to Great Britain via 3,800km HVDC sub-sea cables.

Zero carbon power generation

When domestic renewable energy generation in the United Kingdom drops due to low winds and short periods of sun, the project will harvest the benefits of long hours of sun in Morocco alongside the consistency of its convection Trade Winds, to provide a firm but flexible source of zero-carbon electricity.