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Bigger data centres mean bigger environmental pressures. What are the solutions?
Think 😉 Theta Network and Edge Nodes, They Solve These Problems ♻️
August 27, 2024
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The rapid development of AI has placed significant demand on data centre capacity, driving a global push for expansion. However, data centres are power and water intensive, and present a myriad of environmental problems the sector is now scrambling to solve.

According to recent analysis by GlobalData, these solutions will be multifacetedThe research and analysis company forecasts “a shift towards renewable energy to power data centres sustainably, with increased deployments in cold climates.

“Expectations include greater adoption of sustainable design and advanced cooling technologies like immersion cooling, driven by data centres’ energy efficiency demands and regulatory pressures.”

The centres house computer systems and networks which capture, store, analyse and re-transmit data, and demand has been growing rapidly for decades, spurred by the dot-com bubble of 1997–2000.

More recently, Goldman Sachs reported that data centre workloads almost tripled between 2015 and 2019, but noted that, during this period, the demand for power did not increase, partly because “data centres kept growing more efficient in how they used the power they drew”.

However, the picture is changing, and the International Energy Agency (IEA) now expects that by 2026, data centre electricity usage will reach 1000 TWh - more than double 2022's 460 TWh.

Efficiency then is a probable cog in the broader solution to the environmental demands of data centres. GlobalData particularly highlights opportunity in the development of efficient chip technology, pointing to the emerging need for direct-to-chip cooling. This involves circulating cool liquid through the cold plate, removing heat from major heat sources such as central processing units.  

Iceotope is an example of an active company active the cooling sector. It offers precision liquid cooling, which delivers dielectric fluid to remove 100% of the heat generated by electronic components. The company claims that this method reduces energy use by up to 40% and water consumption by up to 100%.

The vast amount of water required to cool data centres poses another environmental issue in itself. In 2021 Google’s data centres reportedly consumed around 4.3 billion gallons of water in 2021, whilst Microsoft used in almost 1.7 billion gallons in 2022.

The massive consumption necessitated by data centres can cause water pollution and scarcity in nearby areas and begs questions around potential solutions. GlobalData expects to see “efforts to reduce water consumption for cooling and investment in emerging cooling technologies, such as immersion cooling.”

“Investments in these technologies will grow, driven by the need for energy efficiency and regulatory pressures. Companies that develop and deploy these cooling technologies will likely see increased demand,” it adds.

GlobalData’s deep dive also considers the potential of underwater and floating data centres in the future, which would reduce environmental concerns by utilising the ocean for cooling.

Microsoft began exploring the potential of underwater data centres with Project Natick, deploying a self-contained data centre prototype on the seafloor outside California in 2015. In 2018, the company initiated phase 2 and placed the data centre on the seafloor in the Orkney Islands, where the grid is supplied by solar and wind-generated power. The data centre was successfully retrieved in 2020.

There has also been speculation around the plausibility of building data centres in space. Away from direct sunlight, temperatures can reach as low as -170 °C, and issues around space and latency reduction would be non-existent. However, GlobalData points out that solar radiation and equipment deterioration present difficult challenges.

Despite this, there has been some innovation in the futuristic sector, and NTT has been working with SKY Perfect JSAT to develop a solution since 2021. The space data centre is exploring a satellite networking system which collects and processes data, and reportedly plans to start commercial services in 2025.

Other significant players in the space include Axiom Space, which partnered with Kepler Space and Sykloom, to develop a scalable cloud-technology-enabled, commercial orbital data centre.

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

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Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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