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.
Contrary to the narrative that China’s private sector has been squeezed into irrelevance, major developments in new ...
Interesting Engineering on MSN8h
A paradigm shift? The view from China on DeepSeek and the global AI raceDeepSeek has shown that China can, in part, sidestep US restrictions on advanced chips by leveraging algorithmic innovations.
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.
More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.
Learn how to fine-tune DeepSeek R1 for reasoning tasks using LoRA, Hugging Face, and PyTorch. This guide by DataCamp takes ...
DeepSeek's emergence is a reminder that energy efficiency remains a better bet than one on the largest energy production ramp ...
The Chinese company is rapidly changing assumptions about individual models’ power needs, but the AI sector’s emissions are ...
Lower construction spending on data centers because of DeepSeek could negatively impact heavy equipment stocks like Caterpillar, JPMorgan said.
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