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AI Data Pipeline

Research Report: Solving AI Data Pipeline Inefficiencies, the VAST Data Way

While AI is foundational to the next wave of digital transformation, traditional data and storage infrastructure -even many parallel file systems- isn’t prepared for the demands required to support today’s AI lifecycle, which places unprecedented demands on storage and data infrastructure.

Developing an effective data infrastructure for AI requires a holistic approach, considering data, database, processing, and storage as a unified entity. This is how VAST Data approaches the challenge.

This Research Paper takes a look at the approach VAST Data takes with its VAST Data Platform, designed from the ground up to support the needs of AI at scale. Its approach significantly alleviates the typical bottlenecks faced in AI model development and deployment, offering a scalable, efficient solution that enhances the entire AI lifecycle.

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Disclosure: The author is an industry analyst, and NAND Research an industry analyst firm, that engages in, or has engaged in, research, analysis, and advisory services with many technology companies, which may include those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.