FaceBook’s New Server and Storage Line Targets Artificial Intelligence, Big Data Analytics and Video Applications

Facebook announced a new line of server and storage hardware at the Open Compute Project (OCP) Summit 2017. In a blog post yesterday, Facebook Technical Program Manager Arlene Gabriana Murillo highlighted the need for next generation hardware to handle millions of hours of video, massive amounts of photo files and interactiveaudio and video communication on Facebook messenger. 

Scalable Storage

Storage Roadmap

Facebook unveiled specifications for Bryce Canyon as the next generation of storage chassis after the Honey Badger which was released in 2015. Supporting 72 high density Hard Disk Drives (HDD) for Terabytes of data, Bryce Canyon will also feature powerful processors, more memory and can be configured as a Just a Bunch of Drives (JBOD) or a storage server. The storage system is designed to handle large video and graphics files.

Separate GPU and CPU Processing


Facebook has also released specifications for Big Basin a JBOG (Just a Bunch of GPUs) and Tioga Pass, Yosemite v2 and Twin Lake servers for CPU processing. GPU isolation helps in processing video, image and other files separately from web server applications. According to Arlene, Big Basin can help with today’s Big Data Analytics, IoT and Artificial Intelligence needs by training models that are 30 percent larger than what could be handled by previous generations JBOGs. This is because of the availability of greater arithmetic throughput and a memory size increase from 12 GB to 16 GB.  Tioga Pass features a dual-socket motherboard and Yosemite v2 is a 1-socket multi-node compute server. The compute servers can be connected to any JBOD for storage expansion.

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