Tag Archives: AI

  • Transforming Business Analysis Through HPC, AI and Data Analytics Integration

    In this age of data-driven analysis, many organizations are looking for a comprehensive solution to handle all of their processing needs. They need computer systems that have a workload-optimized architecture that can process varying workloads from HPC to deep learning. But selecting hardware and software for such a system and implementing the system is a…

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  • Podcast: HPC & AI Convergence Enables AI Workload Innovation

    In this Conversations in the Cloud podcast, Esther Baldwin from Intel describes how the convergence of HPC and AI is driving innovation. On the topic of HPC & AI converged clusters, there’s a perception that if you want to do AI, you must stand up a separate cluster, which Esther notes is not true. Existing HPC…

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  • Seven AI Habits IT Can Learn from HPC

    Every enterprise will be using Artificial Intelligence (AI) in the future – or should be. The potential positive impact on the bottom line and opportunities for competitive advantage that AI can yield are simply too much to ignore. Today, high-performance computing (HPC) centers are experts in supporting large scale high-performance applications, including large scale AI. Whether…

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  • Running AI and HPC Workloads Together on Existing Infrastructure Enhances Return on System Investments

    Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. This approach increases the cost-efficiency of existing infrastructure investments by accelerating breakthrough scientific discoveries, shortening the time needed to bring new products to market, and offering…

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  • The Convergence of HPC and A.I.

    The convergence of HPC & A.I. is a hot topic right now, and for good reasons. In practice, there is a symbiotic relationship between (for example) HPC simulations and machine learning. HPC simulations generate tons of data, and as luck would have it, machine learning requires tons of data to train models. If we turn…

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