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AI could consume more power than Bitcoin by the end of 2025

The Verge

The Verge · 3m ago

AI could consume more power than Bitcoin by the end of 2025

AI could soon surpass Bitcoin mining in energy consumption, potentially using nearly half of all electricity consumed by global data centers by 2025. Despite efficiency gains, rising energy demands from expanding AI models and new data centers are contributing to this increase. The lack of transparency in reporting AI energy use and environmental impact by tech companies makes tracking and managing these demands challenging. Researchers urge for more efficient models and greater transparency in sustainability reporting.

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Novel ideas to cool data centers: Liquid in pipes or a dunking bath

Livemint

Livemint · 1y ago

Novel ideas to cool data centers: Liquid in pipes or a dunking bath

Nvidia is using liquid cooling technology in its next-generation GB200 server racks to cool its Blackwell chips. By circulating liquid through the hardware, it aims to reduce power consumption and increase computing power. Traditional data centers use air cooling, which is less efficient. The move comes as data centers are expected to consume 8% of US power demand by 2030, up from 3% currently. Liquid cooling is already a common feature in high-end gaming computers and could be the future for higher-end AI applications. However, there are challenges with leaks and component shortages.

Bitcoin more than doubles in 2024 on spot ETF approval, Trump euphoria

Economic Times

Economic Times · 8m ago

Bitcoin more than doubles in 2024 on spot ETF approval, Trump euphoria

Bitcoin more than doubled in 2024, reaching $100,000, driven by US approval of spot price ETFs and optimism around Trump’s return to the White House. This surge contributed to the cryptocurrency market’s value reaching $3.5 trillion. Analysts forecast further gains, with predictions of Bitcoin hitting $200,000 by 2025. Institutional adoption is growing, with companies like MicroStrategy significantly increasing their Bitcoin holdings, and anticipation that Bitcoin could replace gold as a “store of value.”

Micron starts mass production of memory chips for use in Nvidia's AI semiconductors

Economic Times

Economic Times · 1y ago

Micron starts mass production of memory chips for use in Nvidia's AI semiconductors

Micron Technology has begun mass production of its high-bandwidth memory (HBM) semiconductors for use in Nvidia's latest AI chip, causing its stock to rise over 5%. The HBM3E chip will consume 30% less power than competitors and help meet the increasing demand for chips powering generative AI applications. Designed for Nvidia's next-gen H200 graphic processing units, the chip is expected to surpass the current H100 chip, driving even more revenue for the chip manufacturer. Micron's entry into the HBM chip market also provides an alternative supplier for GPU makers such as AMD, Intel, and Nvidia.

BluSmart signs deal with Tata Power; moves to solar power for all EV charging needs

Economic Times

Economic Times · 1y ago

BluSmart signs deal with Tata Power; moves to solar power for all EV charging needs

Indian electric ride-hailing startup BluSmart has partnered with Tata Power to power its fleet of electric cabs with solar energy. Under the agreement, Tata Power will supply 30MW to BluSmart's entire fleet of 6,000 electric cabs in Delhi NCR and Bengaluru. The electricity will be sourced from Tata Power's 200MW solar plant in Rajasthan and the agreement is for 20 years. This move will help BluSmart eliminate its Scope 2 emissions and reduce its electricity costs. BluSmart plans to expand its fleet to more than 10,000 cabs over the next few quarters and reach over 20,000 cabs by the end of 2025.

Data centres are wary of sustainability push in govt’s AI mission GPU tender

Economic Times

Economic Times · 10m ago

Data centres are wary of sustainability push in govt’s AI mission GPU tender

- The government's IndiaAI Mission requires bidders of the GPU tender to have a power usage effectiveness (PUE) less than 1.35. - Achieving the required PUE could lead to increased capital expenditure for data centers, which may result in higher costs for customers. - PUE measures the energy efficiency of a data center, with lower ratios indicating better efficiency. - Some industry executives argue that the PUE criterion is difficult to achieve and should be removed to allow for the use of different technologies. - Water-based cooling solutions and dry coolers, which consume more electricity, are not sustainable in a water-scarce country like India. - Upgrading traditional data centers to technologies like direct-to-chip liquid cooling can help achieve better PUE.

How does AI play a part in a world striving for net-zero?

Techradar

Techradar · 1y ago

How does AI play a part in a world striving for net-zero?

Artificial intelligence (AI) holds great potential for solving global challenges like climate change, but its energy consumption is a growing concern. As demand for AI increases, so does the need for computational power, leading to a significant amount of energy usage. Research suggests that by 2030, AI could consume up to 3.5% of the world's electricity. To address this, steps can be taken to improve energy efficiency in AI chips, computers, and data centers, such as using liquid cooling and renewable energy sources. While AI's energy demands pose a trade-off, the technology also has the potential to contribute to mitigating climate change and achieving sustainability goals.

Generating AI images uses as much energy as charging your phone, study finds

Gizmodo

Gizmodo · 1y ago

Generating AI images uses as much energy as charging your phone, study finds

A new study reveals that generative AI models used for creating images can consume as much energy as charging a smartphone. The research, conducted by Hugging Face and Carnegie Mellon, examines the environmental impact of generative AI models, specifically highlighting the high energy consumption of image generation tasks. Multipurpose models like ChatGPT were found to be more energy-intensive than task-specific models. The study calls for awareness of the environmental cost of AI and suggests using smaller models in contexts where tasks are well-defined.

AI in Wyoming may soon use more electricity than state’s human residents

Arstechnica

Arstechnica · 1m ago

AI in Wyoming may soon use more electricity than state’s human residents

A proposed AI data center in Wyoming may soon consume more electricity than the state's residents. The facility, a project by energy company Tallgrass and AI developer Crusoe, would start at 1.8 gigawatts, eventually growing to 10 gigawatts—far exceeding the state's current electricity use. The project will rely on its own gas and renewable energy sources. Though local regulators must approve, Wyoming’s governor supports the venture for its potential economic benefits.

5 Reasons Bitcoin Could Skyrocket to $250,000 in 2025: A Strategic Investment Opportunity

Economic Times

Economic Times · 1m ago

5 Reasons Bitcoin Could Skyrocket to $250,000 in 2025: A Strategic Investment Opportunity

Analysts predict Bitcoin could reach $250,000 by 2025 due to several factors: post-halving supply dynamics reducing new coin issuance, the introduction of Spot Bitcoin ETFs by institutions like BlackRock boosting capital inflow, Bitcoin's role as a hedge against fiat currency devaluation, and its use as a store of value in economically unstable regions. Additionally, on-chain data suggests Bitcoin is undervalued. However, potential investors should exercise caution due to inherent risks in the cryptocurrency market.

Elon Musk: AI will be smarter than any human around the end of next year

Arstechnica

Arstechnica · 1y ago

Elon Musk: AI will be smarter than any human around the end of next year

During a recent live interview, Tesla CEO Elon Musk predicted that AI superintelligence will surpass human intelligence by the end of next year. He highlighted the rapid advancement of AI technology, stating that dedicated AI computers are becoming 10 times more capable every year. However, he cautioned that AI chip shortages and power demands could limit progress until these issues are resolved. While some experts are skeptical of Musk's prediction, acknowledging the difficulty in defining and comparing intelligence, others acknowledge the potential for such advancements in the near future.

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