Software & Hardware
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Read MoreWhile data management can improve the development of AI applications, AI can be used to improve data management in areas such as data ingestion and query performance, enabling data engineers to accelerate data management and analytics projects and database administrators (DBAs) to focus on higher-impact tasks.
In order to take full advantage of everything that AI has to offer, enterprises must embed AI at multiple levels, starting at the data level to ensure that AI enables the full scope of the data management lifecycle, from ingestion to curation and discovery, as well as driving applications that are built to leverage that data.
At the head of the list of solutions designed to meet the most rigorous standards for performance and speed are NVMe all-flash arrays and servers, which offer the following benefits:
Tailoring for ideal data center, data warehousing, software-defined storage and hyperscale/hyperconverged performance
Enterprises that that build their GPU clusters using NVMe all-flash arrays and servers have the inside track on delivering the advanced computing environments required to enable the highest level of data center AI performance.
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