VAST Data engages in developing data infrastructure technologies, with a focus on applications in AI. VAST Data offers a range of products for AI and deep learning, including VAST DataStore for scalable unstructured data storage, VAST DataSpace for global cloud data access, VAST DataBase, which combines database, data warehouse, and data lake features, and the upcoming solution, VAST DataEngine, for advanced data computing.
The company's approach emphasizes innovation in storage solutions for AI applications with an aim to streamline traditional data management techniques through its technology and services. The company's primary offering, VAST Data Platform, was introduced in 2019, with the first module announced being the VAST DataStore, a scalable unstructured data storage solution, designed to eliminate tiered storage.
VAST DataSpace, launched in 2023, offers global data access across various cloud platforms and allows data computation from public, private, or edge cloud platforms, while VAST DataBase combines the features of a traditional database, a data warehouse, and a data lake, offering transactional and analytical performance at large scales. It's built for rapid data capture and quick queries.
Key customers and partnerships
As of September 2024, VAST Data claimed the following notable organizations among its customer base; this included global businesses like Pixar, CoreWeave, Lambda, Zoom, Verizon, NASA, and the US Department of Defense.
The company also partnered with certain data infrastructure solution vendors and other technology partners as of November 2023, such as Splunk, Run:AI, Veeam, NVIDIA, and Lenovo, to expand its product’s reach and reliability. Its recent partnership with Run:ai to create a comprehensive solution integrating AI functionality, including computing, storage, and data management for large-scale initiatives.
By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.