"For a fraction over a third of the power of a GPU"Fixed.

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schmoove

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06/08/19

15:33

Post #: 39886294
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Originally posted by Lux in Tenebris: ↑

https://www.bloomberg.com/news/articles/2019-06-05/graphcore-s-ai-chips-could-kickstart-the-next-wave-of-computing
Put another way, Graphcore is developing a brain for computers that, if its co-founders are right, will be able to process information more like a human instead of faking it through massive feats of number crunching.

Over three years, they simulated computer tests on hundreds of chip layouts, eventually settling on a design with 1,216 processor cores, which Knowles refers to as “lots of tiny islands of processors that split up energy resources.” The resulting IPU, first manufactured in 2018, is a sleek chip the size of a Wheat Thin that has almost 24 billion transistors and is able to access data for a fraction of the power of a GPU. “Each of these chips runs at 120 watts”—about the same as a bright incandescent lightbulb—

https://www.telegraph.co.uk/technology/2019/06/16/bristols-graphcore-burns-60m-tries-bring-ai-chips-market/
Bristol's Graphcore burns through $60m as it tries to bring AI chips to market It burnt through $60m in 2018, losing $52m after tax. The start-up reported revenues of $1.1m.

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"For a fraction of the power of a GPU" "Each of these chips runs at 120 watts”
A fraction eh? Which fraction might that be then...oh over 1/3. Ok 1/3 is a fraction

Power consumption of Titan RTX
average 222w
peak 303w
https://www.tomshardware.com/reviews/nvidia-titan-rtx-deep-learning-gaming-tensor,5971-6.html

Originally posted by Lux in Tenebris: ↑

https://www.bloomberg.com/news/articles/2019-06-05/graphcore-s-ai-chips-could-kickstart-the-next-wave-of-computing
Put another way, Graphcore is developing a brain for computers that, if its co-founders are right, will be able to process information more like a human instead of faking it through massive feats of number crunching.

Over three years, they simulated computer tests on hundreds of chip layouts, eventually settling on a design with 1,216 processor cores, which Knowles refers to as “lots of tiny islands of processors that split up energy resources.” The resulting IPU, first manufactured in 2018, is a sleek chip the size of a Wheat Thin that has almost 24 billion transistors and is able to access data for a fraction of the power of a GPU. “Each of these chips runs at 120 watts”—about the same as a bright incandescent lightbulb—

https://www.telegraph.co.uk/technology/2019/06/16/bristols-graphcore-burns-60m-tries-bring-ai-chips-market/
Bristol's Graphcore burns through $60m as it tries to bring AI chips to market It burnt through $60m in 2018, losing $52m after tax. The start-up reported revenues of $1.1m.

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"For ~~a fraction~~ over a third of the power of a GPU"
Fixed.

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