BrandPost: Clouds for AI and HPC

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The unmitigated growth of data, along with the need to glean insights from that data, is driving the convergence of artificial intelligence (AI), high performance computing (HPC) and cloud, highlighting the advantages of a hybrid, multi-cloud IT operating model. Organizations looking to adopt data science practices using AI and HPC stand to benefit greatly from multi-cloud choice, efficiency, and scalability.While HPC has traditionally been the purview of academic research and national laboratories, it is now going mainstream as organizations look to harness HPC, along with AI, to derive value out of growing stores of data. And this is forcing IT decision makers to consider the cloud to improve infrastructure efficiency and scalability, according to a recent Forrester study.To read this article in full, please click here

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The unmitigated growth of data, along with the need to glean insights from that data, is driving the convergence of artificial intelligence (AI), high performance computing (HPC) and cloud, highlighting the advantages of a hybrid, multi-cloud IT operating model. Organizations looking to adopt data science practices using AI and HPC stand to benefit greatly from multi-cloud choice, efficiency, and scalability.

While HPC has traditionally been the purview of academic research and national laboratories, it is now going mainstream as organizations look to harness HPC, along with AI, to derive value out of growing stores of data. And this is forcing IT decision makers to consider the cloud to improve infrastructure efficiency and scalability, according to a recent Forrester study.

To read this article in full, please click here

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