Finally, storage built for GPU-intensive analytics systems

Faster Deep Learning for AI and Analytics

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Because modern analytics platforms are GPU-intensive and require large data sets to deliver the highest levels of accuracy to the system, they need a high bandwidth, low-latency storage foundation to ensure clusters are fully saturated with as much data as the app needs.

This calls for a system that can instantaneously and consistently feed large amounts of random data to multiple GPU nodes in real-time.

Access this datasheet for a software-defined solution built with these data-intensive apps in mind and can:

  • Eliminate complex data copy operations
  • Scale performance across the GPU cluster
  • Scale capacity with advanced data protection
  • And more 
Vendor:
WekaIO
Posted:
19 Feb 2019
Published:
31 Dec 2018
Format:
PDF
Length:
2 Page(s)
Type:
Data Sheet
Language:
English
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