The AI revolution presents an unprecedented opportunity for specialized Cloud Service Providers (CSPs) to craft GPU-powered solutions that meet the growing demands of enterprise, government, and research institutions. Yet, the journey is not without its challenges. The parallel file systems, traditionally used for HPC and AI workloads, often lack critical features such as multi-tenancy, security, and enterprise reliability—key components that CSPs must integrate to construct robust, cloud-scale AI services.

In response to this evolving landscape, the VAST Data Platform emerges as the definitive software stack for GPU Clouds, meticulously designed for the AI era. It delivers the scale, performance, security, and operational efficiency that CSPs need to build cutting-edge AI-based service offerings. Operating in an industry marked by narrow margins, CSPs require a platform that minimizes administration, eradicates downtime, and maximizes efficiency. VAST addresses these needs with its revolutionary disaggregated, shared-everything (DASE) architecture, which seamlessly integrates storage, database, and compute into a single, scalable software solution. This not only powers AI and deep learning services but also provides CSPs with a streamlined operational experience, allowing them to focus on what they do best—delivering exceptional customer experiences.