Cloudera and Vast Data unite to solve enterprise AI data bottlenecks

Cloudera and Vast Data have partnered to offer a unified AI factory solution that combines Cloudera's containerized data services with Vast's AI Operating System to eliminate data bottlenecks and improve GPU utilization for enterprise AI training and inference. The joint offering, available immediately, targets private and sovereign AI deployments by turning latent enterprise data into AI-ready data across on-premises and cloud environments.

Vast Data’s latest partnership will see it team up with Cloudera to offer a unified AI factory offering, a production environment where data is continuously ingested and governed for AI training and inference needs. Cloudera’s containerized data services will pair with Vast’s flagship AI Operating System to turn latent enterprise data into “AI-ready” data to keep GPUs continuously fed to reduce costly idle times. Designed for use across on-premises environments and public clouds, Vast’s data-platform layer will be augmented with Cloudera’s lakehouse architecture to ultimately improve compute efficiency. “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,” Jeff Denworth, co-founder at VAST Data, explained. “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.” Hardware efficiencies to boost AI performance have quickly been usurped by data intelligence as the hot new focus for getting the best out of AI workloads. Nvidia-backed https://www.sdxcentral.com/news/vast-data-expands-nvidia-love-in-for-ai-inference-era/ Vast has already secured deals with several big names to support data pipeline optimizations, including CoreWeave https://www.sdxcentral.com/news/vast-data-lands-117b-coreweave-deal-for-ai-storage-platform/ , Google Cloud https://www.sdxcentral.com/news/google-cloud-enlists-vast-data-to-support-ai-multi-environment-deployments/ , Microsoft https://www.sdxcentral.com/news/vast-data-teams-up-with-microsoft-for-more-agentic-ai/ , and most recently, Megaport https://www.sdxcentral.com/news/megaport-enlists-vast-data-to-unify-its-connectivity-compute-and-storage-for-ai-offerings/ . While the market is becoming increasingly crowded, what with Everpure https://www.sdxcentral.com/news/everpure-bets-the-data-layer-is-the-new-battleground-for-enterprise-ai/ formerly Pure Storage , Databricks, Snowflake, and Weka all making similar plays, Vast’s tie-up with Cloudera sees it playing the sovereignty https://www.sdxcentral.com/resources/the-sovereignty-supplement/ card, contending their converged offering is “optimized for private and sovereign AI.” “Enterprises are investing billions in GPUs graphic processing units , yet many struggle to achieve full utilization due to data bottlenecks,” Abhas Ricky, chief business officer and GM for applied AI at Cloudera, added. “Our partnership with Vast eliminates GPU starvation and enables customers to build true AI factories – where data flows seamlessly from ingestion to insight.” The joint Cloudera–Vast AI factory solution is available immediately through both companies’ enterprise sales teams and partner ecosystems, with reference architectures, validated deployment patterns, and industry-specific solutions set to expand throughout the year.