I am a technology journalist with three decades of press experience. Primarily I work as a news analysis writer dedicated to a software application development ‘beat’. I have spent much of the last twenty years focusing on open source, analytics & data science, cloud computing, mobile devices & data management.
Intelligence is proliferating. As the oft-referenced rise of artificial intelligence and machine learning penetrates every tier of the global IT stack, it will surface in both enterprise and consumer applications at all levels. We’re now talking to our smartphones and smartwatches and AI is doing better than we had previously expected.
A storage operating system could be described as a centralized and unified management tier dedicated to provisioning space for files, managing access privileges for data, initiating & performing backups, classifying data into “hot or cold” zones depending upon its frequency of usage and subsequently moving data to the most cost-effective location depending on its need, managing processes within the storage tier such as memory allocation and copying file and directory locations to serve the...
There is also the creation of a global metadata namespace to explore and manage data in a secure and compliant fashion across a customers’ hybrid multi-cloud estate to enable feature extraction and data classification for AI. A disaggregated storage architecture here enables full sharing of the storage backend, which maximizes utilization of network and flash speeds and lowers infrastructure cost, improving performance while economizing rack space and power for very high-scale, compute-intensive AI workloads like LLM training.
Data Data Infrastructure Data Storage Data Architecture
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