Redundant Array of Inexpensive Nodes surpasses traditional storage architecture by offering data-storage and protection systems that are more distributed, shareable and scalable. Most corporations use ...

Do traditional storage architectures need to be updated? After all, nearly every enterprise storage system that's available today is fundamentally based on an architecture that is now decades old – ...

Hammerspace announced a new AI Data Platform solution at today's NVIDIA GTC conference that transforms data for agentic AI ...

The GPUs and accelerators at the foundation of our current AI-fueled moment need data to survive. Letting a thirty-thousand-dollar NVIDIA H100 sit idle while waiting for data is a tangible waste.

At the heart of the announcement is Dell’s modular AI Data Platform, which decouples data storage from computing. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More How big is the data under Google’s umbrella? Gerrit Kazmaier, the general ...

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space ...

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The data-storage sector is shaped by secular industrial tailwinds such as explosive growth in data volumes driven by cloud ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

Here at Miami, we have a lot of systems running to keep the campus afloat. With those systems comes data and files that need to be stored. As one can imagine, with a footprint as big as Miami's, that ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...