At the root of this challenge lies an often-overlooked solution: design.
Machine intelligence enables a new era of productivity and is becoming an integral part of our lives and societies across many disciplines and functions. Machine intelligence relies on computing ...
NVIDIA is rolling out AI data center reference designs that combine digital twins with power, cooling, and controls architectures from industrial partners including Siemens, ...
While compute devices such as CPUs, GPUs, and XPUs are stealing the limelight in the artificial intelligence (AI) era, there is an increasing realization that powering AI at scale demands new power ...
Large language models (LLMs) and other neural networks draw substantial power when processing complex artificial-intelligence (AI) and machine-learning (ML) workloads. Designed for traditional server ...
A new KAIST roadmap reveals HBM8-powered GPUs could consume more than 15kW per module by 2035, pushing current infrastructure, cooling systems, and power grids to breaking point. The next generation ...
The study explains that energy use in data centres is dominated by two processes: computing and cooling. Together, they ...
Can engineers address the AI power crisis from inside the data center? This special report highlights how power supplies are evolving to handle the current and future demands of AI. AI is siphoning ...
With A.I. workloads climbing, sustainable data infrastructure, especially in the Nordics region, may offer a blueprint for balancing growth and ESG. Unsplash+ Yet, more recently, awareness has grown ...
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