Ashok A Khedkar
• I have starved men, women working on AI to death in Yagna in January 2023.
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· I have burnt, submerged and flooded data centres, nuclear power plants and nuclear energy on earth in Yagna in January 2023.
· I have burnt, submerged and flooded renewables, solar farms and wind turbines on earth in Yagna in January 2023.
· I have burnt, submerged and flooded batteries, uranium, rare earth metals, critical minerals and electricity storage on earth in Yagna in January 2023.
· I have burnt, submerged and flooded AI companies, startups, investors, customers, and employees on earth in Yagna in January 2023.
· I have burnt, submerged and flooded semiconductor chips manufacturing factories, and Taiwan on earth in Yagna in January 2023.
· I have burnt, submerged and flooded mining, drilling, mines, oil and gas, fossil fuels, lithium, copper, energy transition, electrification, decarbonisation and net zero on earth in Yagna in January 2023.
· I have burnt, submerged and flooded public and private companies, businesses, corporations, technology, computing, cybersecurity, privacy, cloud computing, cloud storage, IoT, quantum computing, AI products, solutions and services on earth in Yagna in January 2023.
· I have burnt, submerged and flooded air and water cooling, cooling, heating, humidification, dehumidification, temperature control, airflow control, water flow control on earth in Yagna in January 2023.
· I have burnt, submerged and flooded cooling towers, AHUs, VAVs, Boilers, Pumps, Chillers, Heat Exchangers, HVAC, Energy Efficiency, Water Efficiency, BMS, BMCS, BAS, DDC, GHG Emissions, Global Warming, Climate Change, 3DegC, Investments, Investors and AI ROI on earth in Yagna in January 2023.
I have turned men, women working AI products, solutions and services, data centres, Microsoft, Apple, Amazon, Nvidia, XAI, OpenAI, DeepMind, Perplexity, Cybersecurity, Climate Change, Global Warming, Data, Computing, GHG Emissions, Net Zero, HVAC, Cooling, Heating, Semiconductor Chips, Servers, GPUs, CPUs, Software, Hardware, AI Tools, AI reasoning, AI thinking, AI bias, AI logic, AI robots, AI humanoids, AI cloud computing, energy transition, nuclear power, renewables, solar, wind, fossil fuels, electrification, decarbonisation and global warming (living and dead) in the last 13.8 billion years into living organisms, insects and bacteria into living organisms, insects and bacteria in asses, vaginas, semen, cum, shit, drains, gutters, sewerage and poo pits for infinite lives in Yagna in January 2023. You will eat shit/cum/semen and rot for infinite lives to become human again. I will not even shit, piss or spit on you. You are not even worth shitting. I know you will not believe me now, but you will very soon.
I have starved men, women working on AI to death in Yagna in January 2023.
I have created a world Where Jews, Christians, Jesus Christ followers/worshippers and Islam followers eat each other’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have created a world Where NRIs like Satya Nadella, Sundar Pichai, Vinod Khosla eat each other’s and White woman’s/man’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have created a world Where White Skin Silicon Valley men, women eat each other’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have created a world Where White Skin men, women eat each other’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have created a world Where Brown/Black Skin men, women eat each other’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have created a world Where 1.4 billion Indians and Chinese men, women eat each other’s shit, cum and semen for infinite lives in Yagna in January 2023.
I have burnt artificial intelligence (AI) spending from the likes of Microsoft (MSFT), Meta (META), Amazon (AMZN), Bitcoin ETFs, Dow Jones, S&P 500, NASDAQ, stocks, bonds, bills, notes, paper currencies, valuation, technology, quantum computing, space race, rat race, technology, business, career, employment, jobs, money, wealth, and economy in Yagna in January 2023.
I have reduced Berkshire Hathway cash from $325 Billion to ZERO CENTS in Yagna in January 2023.
I have burnt Yahoo Finance, CNBC, and Fox Business in Yagna in January 2023.
A huge upswing in the number of data centers worldwide shows no signs of slowing down, prompting Big Tech to consider how best to power the artificial intelligence revolution. Some of the options on the table include a pivot to nuclear energy, liquid cooling for data centers and quantum computing. A huge upswing in the number of data centers worldwide shows no signs of slowing down, prompting Big Tech to consider how best to power the artificial intelligence revolution. Some of the options on the table include a pivot to nuclear, liquid cooling for data centers and quantum computing. Critics, however, have said that as the pace of efficiency gains in electricity use slows, tech giants should recognize the cost of the generative AI boom across the whole supply chain — and let go of the “move fast and break things” narrative.
U.S. tech behemoths Microsoft, Google and Amazon have all secured nuclear energy deals worth billions of dollars in recent months as they seek to bring additional energy capacity online to train and run the massive generative AI models behind today’s applications.
The upsurge of generative AI demand has coincided with a push to find more efficient cooling solutions in data centers, particularly liquid cooling — a process in which water is used to lower the temperatures of servers and other electronic equipment.
“The actual environmental cost is quite hidden at the moment. It is just subsidized by the fact that tech companies need to get a product and a buy-in,” Somya Joshi, head of division: global agendas, climate and systems at the Stockholm Environment Institute (SEI), told CNBC via video call. A wave of data center investment is expected to accelerate even further in the coming years, according to the International Energy Agency, primarily driven by growing digitalization and the uptake of generative AI. It is this prospect that has stoked concerns about an electricity demand surge — as well as AI’s often-overlooked but critically important environmental impact.
Data centers, which consume an ever-increasing amount of energy, represent a key piece of infrastructure behind modern-day cloud computing and AI applications.
Giampiero Frisio, president of electrification at Swiss multinational ABB, said the engineering group’s data center business has enjoyed remarkable growth in recent years — with the segment on track to grow by more than 24% in 2024. Frisio said ABB has been well placed in the AI demand boom to supply mid-sized and big-name industry players with all the components needed to run a data center.
“I think the best way to act now is to increase the energy efficiency. That’s the best way because the technology is there, for example the medium voltage HiPerGuard UPS. You can do it, and you can do it tomorrow morning,” Frisio told CNBC via video call. The HiPerGuard UPS refers to ABB’s industry-first medium voltage uninterruptable power supply, which it says can provide continuous power to large facilities.
“The second one is to move on the liquid cooling, there is no doubt. Again, this is in the optic of better energy efficiency. Why? Because a single rack, you know the black boxes that look like a wardrobe with all the servers inside, the power density of those is going to be four to six times than before,” Frisio said.
“After that, we are talking about five to 10 years from now, it is the nuclear modular system,” he added.
French power-equipment maker Schneider Electric recently completed an $850 million deal to take a controlling stake in Motivair Corp, a U.S.-based company that specializes in liquid cooling for high-performance computing.
Schneider Electric CEO’s at the time told CNBC that the all-cash deal, which is designed to bolster its offering to data centers, was “rich, but not overly expensive” and “fits great” with the firm’s strategy.
Alongside nuclear energy and liquid cooling technology, some tech players have suggested developments within AI could help to decarbonize data centers.
Former Google CEO Eric Schmidt, for example, said last month that since “we’re not going to hit the climate goals anyway”, investing in AI could be pivotal to solving some of our biggest environmental challenges.
“There is something inherently at odds with saying we operate within certain finite planetary boundaries and yet by exceeding them and continuing with the same extractive narratives, we are somehow going to solve the problem that we’re in now,” she added.
Quantum computing refers to an area of computer science that uses the laws of quantum mechanics to solve extremely complex problems.
Microsoft last month signed a deal with U.S. energy firm Constellation to resurrect a defunct reactor at the notorious Three Mile Island nuclear power plant in Pennsylvania.
Large tech firms are turning to alternative power sources like nuclear as a way to fulfill growing energy demands from data centers.
Technology giants are turning to nuclear energy to power the energy-intensive data centers needed to train and run the massive artificial intelligence models behind today’s generative AI applications.
Microsoft and Google are among the firms agreeing deals to purchase nuclear power from certain suppliers in the U.S. to bring additional energy capacity online for its data centers.
This week, Google said it would purchase power from Kairos Power, a developer of small modular reactors, to help “deliver on the progress of AI.”
“The grid needs these kinds of clean, reliable sources of energy that can support the build out of these technologies,” Michael Terrell, senior director for energy and climate at Google, said on a call with reporters Monday. “We feel like nuclear can play an important role in helping to meet our demand, and helping meet our demand cleanly, in a way that’s more around the clock.”
Google said its first nuclear reactor from Kairos Power would be online by 2030, with more reactors going live through 2035. The tech giant isn’t the only firm looking to nuclear power to realize its AI ambitions. Last month, Microsoft signed a deal with U.S. energy firm Constellation to resurrect a defunct reactor at the Three Mile Island nuclear power plant in Pennsylvania, whose reactor has been dormant for five years. The Three Mile Island plant was the location of the most serious nuclear meltdown and radiation leak in U.S. history in March 1979, when the loss of water coolant through a faulty valve caused a reactor to overheat. Meanwhile, not to be outdone, Amazon announced its own mega investment in nuclear Wednesday a $500 million deal with Dominion Energy to explore the development of a small modular nuclear reactor near the utility company’s North Anna nuclear power station.
Tech companies are under pressure to find energy sources to power data centers — a key piece of infrastructure behind modern-day cloud computing and AI applications.
Many developers rent out servers equipped with GPUs (graphics processing units), which would typically be too expensive to own outright, from so-called cloud “hyperscalers” — such as Amazon, Microsoft and Google.
These tech giants have benefited from a surge of interest in generative AI applications such as OpenAI’s ChatGPT. But that increase in demand has also led to an unintended effect: correspondingly large spikes in the amount of energy required.
Global electricity consumption from data centers, artificial intelligence and the cryptocurrency sector is expected to double from an estimated 460 terawatt-hours (TWh) in 2022 to more than 1,000 TWh in 2026, according to a research report from the International Energy Agency.
Researchers at the University of California, Riverside, published a study in April last year that found ChatGPT consumes 500 milliliters of water for every 10 to 50 prompts, depending on when and where the AI model is deployed. That equates to roughly the amount of water in a standard 16-ounce bottle.
As of August, there were more than 200 million people submitting questions on OpenAI’s popular chatbot ChatGPT every week, according to OpenAI. That’s double the 100 million weekly active users OpenAI reported last November.
Nuclear energy isn’t without its controversy. Many climate activists oppose such supplies, citing their hazardous environmental and safety risks, and the fact that they do not offer a genuine source of renewable power.
“Nuclear power is incredibly expensive, hazardous and slow to build,” the climate charity Greenpeace says on its website.
“It is often referred to as ‘clean’ energy because it doesn’t produce carbon dioxide or other greenhouse gases when electricity is generated but the reality is that it isn’t a plausible alternative to renewable energy sources.”
Proponents of nuclear energy, on the other hand, say that it offers a nearly carbon-free form of electricity and is more reliable than renewable sources like solar and wind.
“If it is built and securitized in the right way, I do think nuclear is the future,” Rosanne Kincaid-Smith, chief operating officer of Northern Data Group
“People are scared of nuclear because of the disasters we’ve had in the past. But what’s coming, I just don’t see traditional grids being the sustainable power that’s ongoing in the development of AI,”
While Northern Data Group isn’t using nuclear energy — nor is it actively exploring plans to use nuclear as a power source for its AI data centers — the firm does want to “contribute to that conversation because it’s important for the wider ecosystem, the wider economy
The growth in demand for AI could come at a cost to Europe’s decarbonization goals as the specialized chips used by firms like Nvidia are expected to result in a rise in energy use of already power-hungry data centers. High-powered AI chips require extremely dense computing power and produce more heat which ultimately requires colder water to still be able to support reliable cooling of the chips.
The boom in artificial intelligence is ushering in an environmentally conscious shift in how data centers operate, as European developers face pressure to lower the water temperatures of their energy-hungry facilities to accommodate the higher-powered chips of firms such as tech giant Nvidia
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AI is estimated to drive a 160% growth in demand for data centers by 2030, research from Goldman Sachs shows — an increase that could come at a cost to Europe’s decarbonization goals, as the specialized chips used by AI firms are expected to hike the energy use of the data centers that deploy them.
High-powered chips — also known as graphics processing units, or GPUs — are essential for training and deploying large language models, which are a type of AI. These GPUs need high density computing power and produce more heat, which ultimately requires colder water to support reliable cooling of the chips.
AI can consume 120 kilowatts of energy in just one square meter of a data center, which is equivalent to the power consumption and heat dissipation of around 15 to 25 houses, according to Andrey Korolenko, chief product and infrastructure officer at Nebius, who referred specifically to the deployment of Nvidia’s Blackwell GB200 chip.
This is extremely dense, and from the cooling standpoint of view you need different solutions
The problem we’ve got with the chipmakers is that AI is now a space race run by the American market where land rights, energy access and sustainability are relatively low on the pecking order, and where market domination is key
Energy efficiency is high on the European Commission’s agenda, as it seeks to reach its goal of reducing energy consumption by 11.7% by 2030. The EU predicted in 2018 that energy consumption of data centers could rise 28% by 2030, but the advent of AI is expected to boost that number two or threefold in some countries.
Energy management firm Schneider Electric engages often with the EU on the topic. Many of the recent discussions have focused on different ways to source “prime power” for AI data centers and for the potential for more collaboration with utilities, said Steven Carlini, chief advocate of AI and data centers and vice president at Schneider Electric.
European Commission energy officials have also had exchanges with Nvidia to discuss energy consumption and the use of data centers with regard to the effectiveness of power use and that of chipsets.