Vast Data, the AI data platform company, and Supermicro, a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, today announced a new collaboration to deliver a full-stack, end-to-end AI solution aimed at simplifying the creation and expansion of large-scale AI deployments. Through this collaboration, VAST Data and Supermicro are offering service providers, hyperscale technology companies and large, data-centric enterprises with a highly performant and resilient AI solution powered by NVIDIA-Certified Systems.
The solution offers service providers and enterprises multi-tenancy, zero-trust security and scalability, making it invaluable for organizations dealing with large volumes of proprietary data and requiring agility in their operations. With the VAST Data Platform, organizations can now automatically store and apply context to unstructured data, accelerate data analytics with a new approach to transactional and analytical data warehousing, and eliminate data silos with a unified global namespace from edge-to-cloud. Additionally, the VAST Data Platform resolves the long-standing compromise between performance and capacity, ensuring unified access to all data.
“In an era where organizations globally are launching and scaling their AI initiatives at a blistering pace, staying competitive requires them to work with infrastructure providers who are proven at hyperscale,” said Renen Hallak, CEO and co-founder of VAST Data. “Collaborating with Supermicro, we’re delivering a unified hyperscale data platform that will make it easier for service providers and enterprises to be competitive in the AI race. With a revolutionary parallel architecture that is built with enterprise data management tools for unstructured and structured data, this joint solution is the ideal platform for the modern era of AI computing.”
Customers can now buy a fully optimized VAST Data Platform AI solution stack directly from Supermicro or select distribution channels. Visit the Supermicro webpage or contact your systems integrator to learn more.
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