INTELLIGENT TECHNOLOGY

The collaboration integrates Cloudera’ s next-generation containerised data services with the VAST AI Operating System – which unifies high-performance storage, database,

Abhas Ricky, Chief Business Officer and GM, Applied AI at Cloudera and global namespace capabilities to power large-scale AI, analytics, and missioncritical 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 organisations 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 highthroughput, low-latency data, dramatically improving utilisation, performance, and return on investment.

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 optimised 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 AIready data, while Cloudera delivers data engineering, analytics, governance, and AI services on top.

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.

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 utilisation due to data bottlenecks,” said Abhas Ricky, Chief Business Officer and 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.” •

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