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Cloudera and VAST Data Announce Strategic Partnership to Deliver AI Data Platform Anywhere

Cloudera, Inc. 5 mins read

Combining Cloudera’s next-generation lakehouse data services with VAST’s AI Operating System, leveraging the NVIDIA AI Data Platform reference design, this joint solution eliminates GPU starvation and accelerates enterprise AI

SAN JOSE, Calif., July 14, 2026 (GLOBE NEWSWIRE) -- Cloudera, the only company bringing AI to data anywhere, today announced a strategic partnership with VAST Data, the AI Operating System company, to deliver a unified AI factory, a scalable production environment where data is continuously ingested, refined, governed, and delivered to AI models for training and inference. This infrastructure is available for enterprises operating across on-premises environments and public clouds, enabling a consistent AI operating model while allowing organizations to deploy AI services wherever performance, compliance and cost requirements are best met. The collaboration integrates Cloudera’s next-generation containerized data services with the VAST AI Operating System - which unifies high-performance storage, database, and global namespace capabilities to power large-scale AI, analytics, and mission-critical data workloads. This data-platform layer, based on the NVIDIA AI Data Platform reference design, turns latent enterprise data into AI-ready data that fuels the AI factory.

As organizations race to deploy generative and agentic AI, many are discovering that traditional architectures were not designed to support continuous AI pipelines spanning data preparation, training, inference, and analytics. One consequence is GPU starvation, where expensive accelerator clusters sit idle waiting for data. The joint solution addresses this challenge by ensuring data can move efficiently through the AI lifecycle while keeping GPUs continuously fed with high-throughput, low-latency data, dramatically improving utilization, performance, and return on investment.

Building the Enterprise AI Factory

Cloudera’s lakehouse architecture provides portable, containerized data services, including data engineering, streaming, analytics, machine learning, and AI, all deployable consistently across hybrid and multi-cloud environments. VAST’s Disaggregated Shared Everything architecture serves as the foundation of the VAST AI Operating System, delivering exabyte-scale data infrastructure, integrating vector database services with NVIDIA cuVS for GPU-accelerated vector indexing and search, and high-performance storage optimized for modern GPU clusters and AI workloads. Together, VAST’s AI OS leveraging the NVIDIA AI Data Platform reference design, with NVIDIA-accelerated computing, transforms latent enterprise data into activated AI-ready data, while Cloudera delivers data engineering, analytics, governance, and AI services on top.

Together, the companies deliver:

  • A unified AI factory architecture from raw data ingestion to model deployment
  • Consistent operations anywhere across data centers, private cloud, and public cloud
  • Elimination of GPU starvation through ultra-high-bandwidth, low-latency data pipelines
  • Significantly improved compute efficiency by ensuring GPUs operate at sustained utilization levels
  • Superior storage performance at scale for structured, unstructured, and multimodal datasets
  • Secure private AI environments with enterprise governance and compliance

This architecture enables organizations to move from isolated AI experiments to production-grade AI systems that continuously transform enterprise data into actionable intelligence for training, inference, analytics, and agentic applications.

This partnership also furthers solutions that create private AI factories by combining NVIDIA AI infrastructure, NVIDIA AI Enterprise software, the VAST AI OS as the foundational data platform and enterprise data and AI services from Cloudera into an optimized solution for private and sovereign AI. The Cloudera AI Inference Service, as one of the solutions, accelerated by NVIDIA NIM microservices, enables organizations to bring AI to their data where they can deploy and scale any model, including the latest NVIDIA Nemotron open models.

Customers will be able to accelerate Apache Spark workloads with NVIDIA cuDF to transparently accelerate Cloudera Data Engineering workloads by allowing Spark jobs to leverage VAST’s high-throughput data services via GPU-accelerated processing, supporting even more AI workload optimization.

For large enterprises, especially those in highly regulated industries, this represents a full “silicon-to-application” solution for building production-grade AI systems, anywhere.

Driving Significant Mutual Growth

The partnership combines 60 exabytes worth of customer-managed data, unlocking substantial new opportunities for both companies and their customers. This is coupled with an increasing enterprise demand for private AI infrastructure, creating a significant pipeline and future revenue growth opportunities.

“Enterprises are investing billions in GPUs, yet many struggle to achieve full utilization due to data bottlenecks,” said Abhas Ricky, Chief Business Officer & GM, Applied AI at Cloudera. “Our partnership with VAST eliminates GPU starvation and enables customers to build true AI factories—where data flows seamlessly from ingestion to insight.”

“Most enterprises already have the data they need for AI. The challenge is unlocking the value in data to create a continuous pipeline of AI inference, fine-tuning, and data analysis to build the next generation of intelligent applications,” said Jeff Denworth, Co-Founder at VAST Data. “Together, Cloudera and VAST are helping customers build AI factories that connect data, intelligence, and infrastructure into a single operational platform for AI across hybrid environments.”

The joint Cloudera–VAST AI factory solution is available immediately through both companies’ enterprise sales teams and partner ecosystems. Reference architectures, validated deployment patterns, and industry-specific solutions will continue to expand throughout 2026.

To learn more, visit our VAST partnership page or register for our upcoming global event series, EVOLVE26 to learn how enterprises are unlocking greater value from their data, analytics, and AI initiatives.

About Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives.

To learn more, visit Cloudera.com and follow us on LinkedIn and X. ©2026 Cloudera and associated marks are trademarks or registered trademarks of Cloudera, Inc. All other company and product names may be trademarks of their respective owners.

About VAST Data

VAST Data is the AI Operating System company – powering the next generation of intelligent systems with a unified software infrastructure stack that was purpose-built to unlock the full potential of AI. The VAST AI OS consolidates foundational data and compute services and agentic execution into one scalable platform, enabling organizations to deploy and facilitate communication between AI agents, reason over real-time data, and automate complex workflows at global scale. Built on VAST’s breakthrough DASE architecture – the world’s first true parallel distributed system architecture that eliminates tradeoffs between performance, scale, simplicity, and resilience – VAST has transformed its modern infrastructure into a global fabric for reasoning AI. Learn more at vastdata.com and follow VAST Data on LinkedIn, YouTube and X.

Contact
Jess Hohn-Cabana
[email protected]


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