WHAT A SUPERCOMPUTER CAN DO IN THREE DAYS, AI CAN DO IN THREE HOURS.
D I S S E C T I N G B U S I N E S S much power they require to get there, as well as the length of the journey.
We have AI, we have some amazing data scientists, but it ' s understanding what the impact is going to be – one of the fundamentals is how much power is going to be needed to drive your AI going forward, and when I say power I mean electricity because that’ s essentially what we’ re talking about.
What best practices can companies implement to ensure AI inference is as environmentally friendly as possible?
It all comes down to electricity. If you were to take a country that is predominantly generating electricity from coal or heavy polluting processes like fossil fuels, you could suggest that an AI model developed in a country like that is going to be more environmentally unfriendly than a model developed in a country with a more environmentally friendly electricity infrastructure. I ' m not claiming it would have zero environmental impact, but it’ s certainly possible to draw some conclusions there.
In the science industry in particular, scientists would generally have used a supercomputer – if they could access it – to run their trials
WHAT A SUPERCOMPUTER CAN DO IN THREE DAYS, AI CAN DO IN THREE HOURS.
of data through to try and find out the information they’ re processing and gather information from their data. However, now what we ' re seeing is that if you shift that same process and do it on AI, you save days of time. What a supercomputer can do in three days, AI can do in three hours. The AI is still using a lot of power, but to get to the same answer that we would have traditionally done with a supercomputer, it’ s far more efficient. As we ' re transitioning to newer, faster and more efficient technologies, we’ re saving power.
Once we can process AI faster, we ' re going to give it bigger programs and bigger problems to solve. But for now, it’ s definitely moving in the right direction. �
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