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LOCATION:Track 6
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UID:submissions.supercomputing.org_SC20_sess321_exforum101@linklings.com
SUMMARY:WekaFS for HPC and AI Converging Pipelines
DESCRIPTION:Exhibitor Forum\n\nWekaFS for HPC and AI Converging Pipelines\
 n\nBen-David\n\nThis introduction is to the WekaFS scale out parallel file
  system data and metadata distribution. WekaFS uses commodity servers with
 out  specialized hardware to create a parallel file system that provides t
 he fastest throughput, IOPS, metadata and low latency  required for today'
 s converging HPC and AI worlds. Winner of the SC19 IO500 Award, the system
  scales data and metadata across any increasing number of nodes without th
 e need of a centralized metadata server (which creates a hotspot), and is 
 designed to scale to exabytes. The system protects the data across storage
  nodes as well as providing predictable scalable performance, in flight an
 d at rest encryption, in flight data correctness and self healing. It also
  has the ability to snapshot and expand the name space between flash and S
 3, and provide backup and DR to HPC and AI environments that contain billi
 ons of files. WekaFS can be used with on-prem systems or in the cloud.\n\n
 Tag: Machine Learning, Deep Learning and Artificial Intelligence, Storage\
 n\nRegistration Category: Exhibits Reg Pass
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