RCH Solutions supports the adoption of novel computing technologies offering a complete suite of strategic advisory and purpose-built managed services to help R&D teams in the Life Sciences modernise their compute environment
Lloyd Colegrove
Lloyd Colegrove highlights some experiences from 30 years of engagement in chemical manufacturing
Image: Tatiana Shepeleva/Shutterstock.com
Money will be used to advance development in therapeutics, transport and electronics
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Better understanding required of how AI will transform society, says UKRI report
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.
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.
Scientists and researchers across the North of England will benefit from the arrival of a new £3.8m supercomputer to support projects in areas such as Artificial Intelligence (AI), energy storage and therapeutic drug design
A German-American team of scientists have deciphered some of the more elusive instructions encoded in DNA with the help of artificial intelligence (AI)
Looking to get started with AI but not sure where to begin? Read NVIDIA's quick start guide and learn how to set your next AI project up for success.
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.
Prof Dieter Kranzlmüller
Credit: The Gauss Centre for Supercomputing (GCS)
Professor Dieter Kranzlmüller of Leibniz Supercomputing Centre (LRZ) outlines the work of the facility
A round-up of the latest products for scientists using networking technologies
Credit: Panumas Nikhomkhai/Shutterstock
A round-up of the latest storage products and technology available for scientists using HPC
