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With the growth in artificial intelligence (AI) and machine learning (ML), there is an increasing requirement for organisations to store and manage large volumes of data. AI and ML workloads generate huge amounts of data which increases the requirements for an organisation to support storage platforms with data that is critical to the success of a company. With this increased growth in these computing environments, there is also growing importance on the data and how it is stored by an organisation. A careful balance must be struck between economy and performance, while also maintaining a strategy for growth. Choosing the wrong technology can lead to headaches in the future – such as vendor lock-in or a technology that cannot scale with an organisation during periods of growth. To solve this challenge many scientific and enterprise users are now turning to Ceph – a previously overlooked solution due to its complexity. |
