The efficiency gains of DeepSeek’s AI models startled the power industry, which is set to invest billions in electricity ...
And DeepSeek completed training in days rather than months.
A recent paper, published by researchers from Stanford and the University of Washington, highlights a notable development in ...
Japan's industry ministry is aware of a view that expansion of data centres may increase demand for electricity, however, it ...
New Scientist on MSN1d
DeepSeek has burst the AI hype bubble – now all bets are offThe Chinese firm threatens the dominance of Silicon Valley’s AI elite, and its innovations show the technology could be more ...
ZME Science on MSN6d
AI’s Power Demand Was Set to Explode — Then DeepSeek Changed Everything. Or Did It?DeepSeek may have just upended everything we thought we knew about AI’s power needs. But it's not that straightforward.
Lower construction spending on data centers because of DeepSeek could negatively impact heavy equipment stocks like ...
Learn how to fine-tune DeepSeek R1 for reasoning tasks using LoRA, Hugging Face, and PyTorch. This guide by DataCamp takes ...
More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.
The selloff​ extended to shares of natural-gas producers, pipeline operators, mining companies​, and electricity generators.
The Chinese company is rapidly changing assumptions about individual models’ power needs, but the AI sector’s emissions are ...
Angela Huyue Zhang says DeepSeek's disruption of the AI industry is about market, not great-power, competition ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback