To be able to do research, you have to spend ~$1500 amortized over 1-2 years. And AI hardware is improving much faster than Moore's law.https://twitter.com/NandoDF/status/782276800038727680 …
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Replying to @fchollet
Hardware is the least of our worries. Having high quality open datasets in areas that matter is vastly more important issue.
4 replies 15 retweets 39 likes -
Replying to @fchollet
A $1200 TitanX would have been one of the fastest supercomputers in 2005. Next, specialized ASICs will make 2016 GPU farms look like a joke.
3 replies 4 retweets 19 likes -
Replying to @fchollet
So you’d say that 64-bit throughput is overkill for research right now? (I favour Titan X just wondering about practicality)
1 reply 0 retweets 0 likes
Replying to @dancres
everything is fp32 these days, moving to fp16.
12:09 PM - 1 Oct 2016
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0 retweets
3 likes
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