Artificial intelligence

LIVE WEBINAR: GPU Accelerated Scientific Machine learning with Large Data Sets

Tuesday 15 June @ 2pm (UK)

The time to publication of Data-Driven Research can be decreased through GPU-Accelerated Data Science.  Large proportion of tools used for scientific analysis and machine learning (e.g. Pandas, SciKit Learn, NetworkX or Spark) have GPU-accelerated variants. We'll discuss how, by changing just a few lines of code, research teams can accelerate their experiments by several orders of magnitude, significantly reducing hardware-associated cost or data processing/training times.

Ceph comes of age with the explosion of AI and ML data

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With the growth in AI and ML, there is an increasing requirement for an organisation to store and manage large volumes of data. Ceph can support an organisations requirements for AI and ML by providing a rapidly and horizontally scalable system that can support object, block and file storage to manage the growth of their data. Organisations with inferencing workloads for AI and ML are increasingly reliant on tier-2 storage as the demand for this technology increases.

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