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Cloudera and VAST Data deliver AI factory solution on NVIDIA AI Data Platform

Companies mentioned

Cloudera and VAST Data outlined a strategic partnership focused on delivering a unified AI factory solution by combining Cloudera’s next-generation lakehouse data services with VAST’s AI Operating System. The companies said the approach targets continuous AI pipelines across ingestion, training, inference, and analytics.

Cloudera described the solution as applicable across on-premises environments and public clouds to support a consistent AI operating model while allowing organizations to deploy AI services where performance, compliance, and cost requirements are met. The announcement also pointed to an issue in traditional architectures supporting continuous AI pipelines, including GPU starvation when accelerator clusters wait for data.

The collaboration integrates Cloudera’s containerized data services with the VAST AI Operating System, which combines high-performance storage, database, and namespace capabilities to support large-scale AI, analytics, and mission-critical data workloads. The description also stated that the VAST AI Operating System is based on the NVIDIA AI Data Platform reference design, and that it uses NVIDIA cuVS for GPU-accelerated vector indexing and search alongside high-performance storage optimized for GPU clusters and AI workloads.

The companies said the joint solution provides an AI factory architecture from data ingestion to model deployment, with consistent operations across data centers, private cloud, and public cloud. They also cited elimination of GPU starvation through ultra-high-bandwidth, low-latency data pipelines and improved GPU utilization through sustained utilization levels, along with secure private AI environments with enterprise governance and compliance. “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 solution was described as available immediately through both companies’ enterprise sales teams, with reference architectures and validated deployment patterns expected to expand through 2026.

Press release, provided by Globe Newswire on behalf of Cloudera. Read the original.

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3 companies named across 10 categories, one of 546 sources referencing Nvidia. Previous coverage: Qivurn Data Centers Expands Global AI Computing Infrastructure Network (July).

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