Scalable Storage
Scalable storage refers to the ability of a system to expand its storage capacity to accommodate increasing amounts of data without compromising performance. In data science and artificial intelligence, scalable storage is crucial for managing large datasets and ensuring efficient processing. Scalable storage solutions can be achieved through various technologies such as cloud storage, distributed file systems, and object storage. These solutions allow for the seamless addition of storage resources as needed, without the need for significant changes to the underlying infrastructure. Scalable storage also enables the implementation of data-intensive applications that require high-speed access to large volumes of data. This is particularly important in machine learning and deep learning applications, where large datasets are used to train models and make predictions.
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