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The many moving pieces in Ryft’s data analytics demo based on Amazon’s AWS EC2 F1 get a clear video explanation

Xilinx Employee
Xilinx Employee
0 0 29.5K

 

Ryft is one of several companies now offering FPGA-accelerated applications based on Amazon’s AWS EC2 F1 instance. Ryft was at SC17 in Denver this week with a sophisticated, cloud-based data analytics demo based on machine learning and deep learning that classified 50,000 images from one data file using a neural network, merged the classified image files with log data from another file to create a super metadata file, and then provided fast image retrieval using many criteria including image classification, a watch-list match (“look for a gun” or “look for a truck”), or geographic location using the Google Earth database. The entire demo made use of geographically separated servers containing the files used in conjunction with Amazon’s AWS Cloud. The point of this demo was to show Ryft’s ability to provide “FPGAs as a Service” (FaaS) in an easy to use manner using any neural network of your choice, any framework (Caffe, TensorFlow, MXNet), and the popular RESTful API.

 

This was a complex, live demo and it took Ryft’s VP of Products Bill Dentinger six minutes to walk me through the entire thing, even moving as quickly as possible. Here’s the 6-minute video of Bill giving a very clear explanation of the demo details:

 

 

 

 

Note: Ryft does a lot of work with US government agencies and as of November 15 (yesterday), Amazon’s AWS EC2 F1 instance based on Xilinx Virtex UltraScale+ FPGAs is available on GovCloud. (See “Amazon’s FPGA-accelerated AWS EC2 F1 instance now available on Amazon’s GovCloud—as of today.”)