VAST as Default AI Data Layer

This partnership turns VAST from a storage vendor that wins one enterprise at a time into infrastructure that shows up by default inside fast growing AI clouds. When CoreWeave standardizes on VAST, startups renting GPU clusters inherit VAST as the data layer for training and storage workflows, which means VAST can reach many smaller AI companies through one cloud provider relationship instead of running separate long sales cycles with each one.

• CoreWeave is a GPU first cloud that rents AI compute by the hour and has grown into a multi billion dollar platform with more than $66.8B of backlog as of December 31, 2025. Being the primary data platform inside that environment puts VAST in the path of a very large and expanding pool of AI workloads.
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• The distribution effect is similar to what happened one layer up with Together AI. Together built a developer friendly service on top of CoreWeave and Lambda, then sold usage based access to startups that did not want to manage raw GPU reservations. VAST is doing the infrastructure version of that motion, but at the storage and data layer.
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• The same channel logic appears in VAST's partnerships beyond CoreWeave. G42 selected VAST as the central multi tenant data platform for a multi hundred petabyte AI cloud and AI supercomputer network, which expands VAST into sovereign and regulated markets. HPE adds another route, through OEM and channel sales teams that already sell complete enterprise infrastructure stacks.
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Going forward, the biggest upside is that AI infrastructure is being bought in bundles, not as isolated products. If VAST keeps getting designed into GPU clouds, sovereign AI builds, and OEM stacks, it can scale like a default data layer for AI factories, with every new cloud region or startup customer pulling more storage, catalog, and data services through the same channel.