At the recent GTC keynote, Nvidia CEO Jensen Huang announced several new products including two new chips for server-based computing applications
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Nvidia has announced that it is partnering with Google Cloud to establish the industry’s first AI-on-5G Innovation Lab, enabling network infrastructure players and AI software partners to develop, test and adopt solutions that will help accelerate the creation of advanced 5G and AI applications
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.
Durham University’s new COSMA-8 supercomputer — to be used by world-leading cosmologists in the UK to research the origins of the universe — will be accelerated by Nvidia HDR InfiniBand networking
Learn about the developer tools and optimized algorithms your teams can use to expedite workflows and turn data into insights faster than ever.
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.
Carlo Ruiz, EMEA director of AI Data Center Solutions at Nvidia gives his thoughts on the rising popularity of Conversational AI
AMD and Penguin Computing have donated systems totalling seven petaflops of compute power to researchers as part of the AMD HPC Fund for COVID-19 research.
Nvidia has announced the completion of its acquisition of Mellanox Technologies for $7 billion
Robert Roe looks at the development of deep learning and its impact on scientific applications
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Additive manufacturing (AM) is opening up new possibilities for engineers to create components and subsystems enabling rapid prototyping and novel designs that can help to accelerate innovation.
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We caught up with David Fox, chief business officer at Modality.ai, for a quick chat about biotech software trends
Sophia Ktori discusses the importance of integration and open systems in supporting laboratory automation
Robert Roe explores advances in CPU, accelerator and networking hardware that is being designed to support exascale.
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
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A round-up of the latest storage products and technology available for scientists using HPC
