Here is the continuation of my notes from the Keynote addresses at the 2017 AWS Re: Invent conference. Enjoy!

Computing at Scale

• Growth in EC2 has been HUGE when you look at the increase in cores running in AWS
• But GPU and FPGA core growth rates have crushed that! It has been exponential growth

Machine Learning

• Machine Learning always seems to come up about every 5 years – then fades away again
• This time it is “sticking” thanks in large part to the scale that the cloud offers
• Examples:
  • Tu Simple with autonomous transport (trucking industry)
  • Matrix Analytics with tumor recognition for cancer screening
  • Clemson University and natural language learning – in the span of two hours, they had 1.1 million cores running on AWS!
• There are three big drivers of the explosion in this technology:
  • HW acceleration capabilities thanks to technology from the likes of Nvidia (P3.16XLARGE instances)
  • Improvements in the Machine Learning frameworks
  • A rapidly growing community
    • GLUON
    • ONNX
    • NNVM and TVM