Tag Archives: ML

  • Storage Advances for HPC and AI

    The storage market is in a unique position, in that there is demand from both the traditional HPC and enterprise storage markets, such as media and entertainment, alongside new growing markets for AI and machine learning. This has created huge potential to increase market share for storage vendors, as long as they can deliver the…

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  • Storage Advances for HPC and AI

    The storage market is in a unique position, in that there is demand from both the traditional HPC and enterprise storage markets, such as media and entertainment, alongside new growing markets for AI and machine learning. This has created a huge potential to increase market share for storage vendors, as long as they can deliver…

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  • Trends From The Trenches: 6 Themes (And A Few Observations)

    At his 2019 Trends from the Trenches address at the recent Bio-IT World Congress & Expo in Boston, BioTeam co-founder and senior director of infrastructure Chris Dagdigian shared his pearls of wisdom on the current state of scientific computing, a field where incompetence is now an “existential survival threat” to life science organizations. “We’ve done…

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  • Simplifying AI, Data Science and HPC Workloads with NGC

    In this video from the GPU Technology Conference, Adel El Hallak and Philip Rogers from NVIDIA present: Simplifying AI, Data Science, and HPC Workloads with NGC. Whether it’s for AI, data science and analytics, or HPC, GPU-Accelerated software can make possible the previously impossible. But it’s well known that these cutting edge software tools are often complex…

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  • Revving Up AI Workloads with HPC under the Hood

    In enterprise environments, the need for speed has never been greater. Business competitiveness increasingly hinges on products and services driven by artificial intelligence (AI) systems that generate instantaneous insights and take autonomous actions in real time. To deliver this blazing speed, AI needs a lot of computational horsepower under the hood, along with an architecture…

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  • Univa 2019 Predictions: More HPC Cloud Migration and Machine Learning

    Here is a short selection of Gary Tyreman’s predictions. 1)  Hybrid and dedicated clouds will drive massive growth in machine learning (ML) projects Machine learning is poised for explosive growth over the next two years with an increasing number of projects moving into production by 2020, based on a recent survey of more than 344 technology and…

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