(Compute) Size Doesn’t Matter πŸ“


Fast.ai was recently part of a team that set some new speed benchmarks on the ImageNet image recognition data set. Why is this noteworthy? Because they did it on an AWS instance that cost $40 total. πŸ…

We entered this competition because we wanted to show that you don’t have to have huge resources to be at the cutting edge of AI research, and we were quite successful in doing so. We particularly liked the headline from The Verge: β€œAn AI speed test shows clever coders can still beat tech giants like Google and Intel.”

Jeremy Howard

AI has a mystique about it that makes it seem like it’s only for uber-tech nerds that love math and have access to the biggest computers, but that’s not true. Yes it’s technical, but it’s not impossible. And there are plenty of resources to help those curious get started. It is not nearly as difficult as it seems. We just have a lot of language and storytelling baggage attached to it.Β βš—οΈ

Very few of the interesting ideas we use today were created thanks to people with the biggest computers. And today, anyone can access massive compute infrastructure on demand, and pay for just what they need. Making deep learning more accessible has a far higher impact than focusing on enabling the largest organizations..

Jeremy Howard

Src: fast.ai