Despite the energy innovations of artificial intelligence newcomer DeepSeek's models, AI power requirements as a whole are predicted to rise.
DeepSeek purports to use less power than other AI providers but the industry is still projected to need huge amounts of energy down the track.AI sustainability experts warn the release of DeepSeek's relatively energy efficient models won't slow growing electricity demands from the sector.
But Chinese AI offering DeepSeek sunk that premise with the release of two models that rival the capabilities of industry leaders while using fewer resources.DeepSeek rattled the financial heartland of the US and damaged a stock market darling when it burst into public view. The Chinese startup was not a secret but it has now changed AI forever.
By comparison, Meta's Llama 3.1 is thought to have cost about $US60 million , using about 10 times the amount of computing required for V3.University of Copenhagen computer scientist Raghavendra Selvan said DeepSeek, compared to Llama, was "easily an order of magnitude cheaper from an energy consumption point of view".
Major US players will now be able to look at DeepSeek's code and incorporate efficiency improvements. Economist William Stanley Jevons came up with a paradox of technology efficiencies being negated by a resulting increase in use of the same technology.He suggested efficiencies in steam engines to burn less coal led to even more of the material being used as the technology became used across more industries due to these improvements.
Even as training costs fall, Professor Lee said more data centres would be needed as humans and software agents send an increasing number of queries to trained models.Professor Lee said early indications were generative AI models were reasoning more — and increasing computer power and energy use — to get better results.
RAND predicts a single training run of an AI model could require 1GW of capacity by 2028 and 8GW by 2030. He thought the use of AI for all search in the future might depend upon how expensive it becomes to run.But Dr Selvan believes we may already be coming to a point past having opt-outs.
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