Hammerspace for Artificial Intelligence

All industries are emerging into a new data cycle powered by the rise of massive data processing that is required to fuel innovation in all types of enterprises. Organizations are urgently assessing their data architectures to leverage AI to grow revenue streams and improve operational efficiencies. AI architects are looking for solutions that will help them design for flexibility for the future while providing the key building blocks for today.

One of the biggest challenges facing organizations is putting distributed unstructured data sets to work in their AI strategies while simultaneously delivering the performance and scale not found in traditional Enterprise solutions.

Hammerspace helps organizations by creating a single global data platform powered by its parallel file system coupled with automated data orchestration. It integrates Enterprise standard data services to ensure governance and data protection goals are met. It offers the flexibility to load data sets from any existing storage silo and the flexibility to add new data sets or data sources with the click of a button in the future. No matter where the AI model is located, local to the data or in a remote cloud or SaaS tool, Hammerspace makes the data easy to access, analyze, process, and move when needed.

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