
VAST Data, a technology company focused on all-flash enterprise data storage, today announced the expansion of its offerings with the launch of the VAST Data Platform, a unified new data computing platform for the AI era.
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Available today, the platform brings together storage, database, and virtual machine services into a scalable system to help enterprises move beyond traditional reporting and business intelligence and support new deep learning applications that could solve some of humanity's most pressing challenges.
“By integrating the ability to create and capture understanding from natural data at a global scale, we are unifying entire categories of IT infrastructure to enable the next era of big data computing,” said Renen Hallak, CEO and co-founder of VAST Data, in a press release. “With the VAST Data platform, we are democratizing AI capabilities and empowering organizations to unlock the true value of their data.”
How will the VAST data platform advance AI initiatives?
The rise of large language models has sparked a lot of interest in the potential of artificial intelligence. But to truly benefit from advanced AI applications, companies need a data platform that makes it simple to manage and process data. That’s where the new VAST platform comes in. It combines the VAST DataStore, DataBase, and DataEngine to create a seamless computing engine that runs from edge to cloud. This platform can handle unstructured natural data, organize it for fast search, and use intelligence to understand the underlying characteristics of the data.

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Merv Adrian, principal analyst at IT Market Strategy, says that the VAST Data Platform is completely unlike any other data platform out there and gives AI-driven companies the foundation they need to tackle problems they haven't even thought of yet.
Companies are already taking advantage of it
Major companies like Zoom, the Allen Institute, and Pixar Animation Studios are already using the new VAST data platform. Eric Bermender, Pixar’s head of data center and IT infrastructure, said VAST allows them to place all of their rendered assets on a tierless storage cluster and use petabytes of data as training data for future AI applications. However, the platform is not yet fully capable, with only DataStore, DataBase, and DataSpace currently available. DataEngine will be included in 2024. Global spending on AI-centric systems continues to grow at double-digit rates and is expected to exceed $308 billion by 2026.
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source of information: venturebeat.com
