EIA highlighted that a major contributor to the revised outlook is the expansion of data centers, particularly those supporting AI workloads
In sum — what to know:
AI fuels surging power demand – U.S. electricity consumption is growing faster than expected, driven in large part by...
Eaton will supply a comprehensive range of electrical systems, including switchgear, uninterruptible power supplies, busways, IT racks and more
In sum – what you need to know:
Fast-track data centers — Eaton and Siemens Energy team up to build data centers faster using modular designs and...
NTT Anode currently manages a total of 340 MWh of BESS capacity across 23 sites in nine Japanese power grid regions
In sum – what you need to know:
NTT expands into storage services – The company launches a dedicated battery storage division under NTT Anode...
The rapid growth of AI is putting pressure on global electricity systems and raising a new set of problems
As artificial intelligence (AI) becomes more powerful, it needs more computing power, and that means more energy, and this surge is reshaping industries, infrastructure and even...
As artificial intelligence continues to transform industries worldwide, the demand for high-performance AI infrastructure is expanding at a fast pace
These facilities are the digital backbone for training and running AI models, from large language models to autonomous systems. But AI data centers require more...
The rise of artificial intelligence (AI) is changing the world, but behind this new scenario lies an immense and growing need for energy.
As this demand increases, tech companies and governments are scrambling to find reliable, clean energy sources to power the next generation of...
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
In sum – what you need to know:
AI fuels infrastructure race – Hyperscalers like...
Fujitsu said it will assess the effectiveness of the solution at its Tatebayashi Data Center, aiming to help customers achieve a world-class PUE at their data centers
In sum – what you need to know:
Energy efficiency push – Fujitsu is partnering with Supermicro and Nidec...
AI workloads don’t just consume energy—they consume it with patterns that are impossible to predict. This is why infrastructure upgrades are key
In sum – what you need to know:
AI energy demand – rapid expansion of AI tech, especially large models and applications, drives unpredictable...
Asia’s digital infrastructure is evolving fast, with major moves in clean energy, cloud expansion and AI readiness.
Google is pioneering geothermal baseload power in Taiwan to support its regional data centers. Tencent Cloud is scaling up in Japan to meet soaring demand for low-latency...
As AI workloads soar and hyperscale data centers multiply across the U.S., lawmakers and regulators are confronting a critical question: who should shoulder the rising cost of powering AI-scale infrastructure?
This week, three key developments underscore the growing political and economic tensions around energy consumption...
Tech and energy giants are redrawing the map of power generation and delivery with the main aim of keeping up with the rising demands from AI — in this equation, liquid cooling technology plays a key role
As AI workloads continue to grow, the power...
Tech and energy giants are redrawing the map of power generation and delivery to keep up with the rising demands from AI
As AI workloads continue to grow, the power behind the processing is becoming the real bottleneck. From Amazon’s wind deals to U.S. regulatory...
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
In brief – why this matters
-AI is set to double electricity demand from data centers by 2030, reaching 945 TWh...
The AI Energy Council will play a key role in ensuring that AI technologies are not only powered efficiently, but also sustainably
In brief – why this matters
–The U.K. has launched an AI Energy Council to align clean energy goals with the growing power needs...
As artificial intelligence (AI) continues to expand, the demand for data centers has skyrocketed. AI applications require massive computing power, leading to higher energy consumption. Many AI data centers are turning to renewable energy solutions to address this challenge. These efforts aim to reduce...
Digital twins are reshaping how telecom networks are designed, tested, and optimized. VIAVI’s latest Digital Twin White Paper explores how real-world data, AI, and simulation are driving efficiency, automation, and innovation in network operations.
Make sure you read the report to explore::
The role of...
AI data centers must support intensive workloads such as deep learning, large-scale data analytics as well as real-time decision-making
Artificial intelligence (AI) data centers are the backbone of modern machine learning and computational advancements. However, one of the biggest challenges these AI data centers...
With rising energy costs, growing consumption and the need to meet decarbonization goals on the horizon, the issue of sustainability has become critical for telecoms to address. RCR Wireless News' latest report, a companion piece to Telco Sustainability Forum, features insights and progress updates of the...
The Ericsson RAN Energy Cockpit rApp drives radio- and system-level energy efficiency with visualization, automated root cause analysis, and resolution capabilities
As communications service providers (CSPs) invest in the evolution to cloud-native, open radio access network (RAN) technologies, Ericsson has emerged as a clear leader...
The radio access network consumes, by far, the majority of power needed to operate mobile networks. Given the reality operators are facing—pressing needs to reduce operational costs while working towards long-term climate action goals without sacrificing network performance—more energy efficient RAN is a key...
Energy consumption is one of the biggest factors of OpEx, says AI-RAN Alliance Chair Alex Jinsung Choi
The reduction of operation expenses (OpEx) is a key priority for telecom operators, and according to Alex Jinsung Choi, chair of the AI-RAN Alliance and principal fellow of...
The radio access network consumes, by far, the majority of power needed to operate mobile networks. Given the reality operators are facing—pressing needs to reduce operational costs while working towards long-term climate action goals without sacrificing network performance—more energy efficient RAN is a key...
You can’t put a price on data. Or can you? A staggering 92% of all internet access now comes via mobile phone, and by 2025 the industry will have reached the once-distant milestone of more than 1 billion active 5G connections. This is good...
