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Recently, SoftBank and Intel have jointly developed a new AI-specific memory chip aimed at significantly reducing power consumption to provide more efficient support for Japan's AI infrastructure. According to Nikkei Asia, the goal of their cooperation is to design a new type of stacked DRAM chip. The wiring method of this chip will be different from the popular High Bandwidth Memory (HBM) on the market, expected to reduce power consumption by about 50%. Image source note: The image was generated by AI, and the image rights service provider is Midjourney.

According to a new analysis, the power consumption of artificial intelligence is expected to reach nearly half of the total electricity consumption of global data centers by the end of 2025, meaning AI energy consumption will soon surpass bitcoin mining. The analysis was conducted by Alex de Vries-Gao, a Ph.D. student at the Environmental Institute of Vrije Universiteit Amsterdam. He has previously tracked the power consumption and environmental impact of cryptocurrencies and published related data on his website Digiconomist. Currently, AI has already accounted for a significant portion of data center energy usage.

PJM, the largest electricity grid operator in the United States, recently announced a partnership with Google and its subsidiary Tapestry to leverage artificial intelligence (AI) to transform how it manages its power system. This collaboration is expected to accelerate the integration of new power sources and address challenges such as delays in approving renewable energy projects and risks of power shortages. PJM noted in a press release that the project will mark the first use of AI to manage grid interconnection requests. Tapestry

According to a recent report by the International Energy Agency (IEA), the proliferation of AI applications is projected to double data center electricity consumption by 2030, posing significant challenges to global energy security and carbon emission reduction goals. Data centers currently account for approximately 1.5% of global electricity consumption, with an average annual growth of 12% over the past five years. The rise of generative AI is further fueling the demand for massive computing power. The United States, Europe, and China together account for roughly 85% of global data center electricity consumption. Major tech companies have already...

Accurate power generation forecasting and supply-demand management are crucial for the rapid development of the new energy industry. On March 26, Ant Group released its new energy power time series large model – EnergyTS. This model aims to help companies optimize their business strategies and improve operational efficiency through high-precision data analysis. EnergyTS demonstrates particularly strong performance in photovoltaic scenarios, surpassing Google's TimesFM-V2.0 and Amazon's Chronos-Lar in power generation prediction accuracy.

On March 26th, at the Spring Summit of the New Energy Digital Asset Community in Suzhou, Ant Group officially launched EnergyTS, a time-series model for energy and power. This marks a significant breakthrough for Chinese companies in the field of energy AI. Specifically designed for the new energy sector, EnergyTS demonstrated significantly higher accuracy in photovoltaic power generation prediction compared to leading international general-purpose time-series models such as Google's (TimesFM-V2.0) and Amazon's (Chronos-Large). In T+1 day prediction, the model's mean absolute error is only...

EcoDataCenter, a Swedish sustainable data center company, has received $478 million in funding to expand its operations and build more environmentally friendly data centers.

DiffRhythm revolutionizes music creation, generating professional-quality songs and vocal accompaniments in a mere 10 seconds using AI. Experience the future of music production!

The AI video field welcomes a game-changing new product! Recently, Google's latest AI video model, Veo 2, was officially released and chose the well-known material platform Freepik for its global debut. This launch not only marks another significant breakthrough in Google's AI video technology but also comes with the exciting news that the first 10,000 users can experience this 'black technology' for free, undoubtedly delivering a substantial benefit to video creators! According to official tweets, Veo 2 is hailed as Google's...

At the recent 360 Nano AI search event for new energy vehicles, Zhou Hongyi, founder and chairman of 360 Group, shared in-depth insights on the widely-discussed DeepSeek. He highly praised its open-source spirit and its positive role in advancing the industry.

Recently, a study conducted by the non-profit organization Epoch AI revealed the energy consumption of OpenAI's chatbot platform ChatGPT, showing that its energy use is significantly lower than earlier estimates. According to some reports, ChatGPT consumes about 3 watt-hours of power to answer a question; however, Epoch AI's research suggests that this figure has been overstated. The study indicates that when using OpenAI's latest default model GPT-4o, the average energy consumption per query is only...

The $100 billion Stargate project plans to source some of its electricity from solar energy and batteries. According to Bloomberg, the renewable energy facilities for this project will be constructed by SB Energy, a subsidiary of SoftBank, but this is not the only energy source for the project. Stargate is a collaboration between OpenAI, Oracle, and the SoftBank Group aimed at establishing a large number of new data centers to accelerate the rapid development of artificial intelligence applications. Image source note:

Silicon Valley giants were once the most vocal advocates and generous financiers of clean energy investments, but they may now become the biggest villains in the renewable energy revolution. With surging energy demands from artificial intelligence, emissions from large tech companies have spiked, making their lofty decarbonization goals increasingly elusive. Tech giants, including Google, Meta, Microsoft, and OpenAI, are pushing for greater deployment of renewable energy infrastructure and research into new forms of clean energy, but keeping up with the enormous energy demands of AI is a daunting task.

With the surge in demand for artificial intelligence and large-scale data processing, data centers, as the infrastructure for these operations, are having an increasingly negative environmental impact. A recent research report delves into the environmental and regulatory issues associated with AI data centers, highlighting the urgent need for improvements in the current policy framework to address the growing consumption of energy and water resources. Image source note: The image is generated by AI and licensed through the service provider Midjourney. The research report emphasizes significant gaps in the current approaches of the EU and the US in this field, calling for countries to develop more robust regulations.