VAST AI Operating System with Cloudera

Build AI Factories on a Unified Data Foundation

VAST Data and Cloudera help enterprises eliminate data silos, simplify AI infrastructure, and accelerate analytics and AI initiatives. By combining Cloudera's enterprise data and AI services with the VAST AI Operating System, organizations can create a true single source of truth for analytics, training, inference, and agentic AI workloads.

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Overview

The AI-Native Data Platform for Cloudera

Traditional enterprise architectures separate files, objects, data lakes, warehouses, vector databases, and AI infrastructure across multiple storage systems and data platforms. As organizations scale generative and agentic AI initiatives, these silos create governance challenges, increase infrastructure costs, and force teams to maintain complex pipelines simply to move data between systems.

Together, VAST and Cloudera modernize critical layers of the enterprise data platform. Cloudera delivers independently scalable data services for analytics, streaming, and AI, while VAST provides a scalable, high-performance data foundation optimized for modern analytics and AI workloads. 

The result is a true single source of truth that reduces data movement, simplifies governance, and improves access to fresh enterprise data.

Single Source of Truth

Unify files, objects, tables, vectors, and event streams on a shared all-flash data foundation optimized for analytics and AI, reducing data movement, simplifying governance, and improving access to fresh enterprise data.

AI Performance

Deliver high-bandwidth, low-latency access to data for training, inference, and real-time analytics at scale, enabling AI and analytics workloads to operate against the same shared data foundation.

GPU Efficiency

Reduce storage-induced stalls and maximize utilization across training and inference infrastructure by delivering data efficiently to accelerators and minimizing contention across AI workloads.

Single Source of Truth

Unify files, objects, tables, vectors, and event streams on a shared all-flash data foundation optimized for analytics and AI, reducing data movement, simplifying governance, and improving access to fresh enterprise data.

AI Performance

Deliver high-bandwidth, low-latency access to data for training, inference, and real-time analytics at scale, enabling AI and analytics workloads to operate against the same shared data foundation.

GPU Efficiency

Reduce storage-induced stalls and maximize utilization across training and inference infrastructure by delivering data efficiently to accelerators and minimizing contention across AI workloads.