VAST Data and Google Cloud Collaborate to Accelerate AI Breakthroughs
VAST Data, the AI data platform company, has announced an expanded collaboration with Google Cloud. This partnership is designed to help global enterprises and AI pioneers unlock the full capabilities of the VAST Data Platform. Purpose-built for AI and large-scale data processing, the platform is now fully integrated with Google Cloud. This integration provides a unified foundation for training, retrieval-augmented generation (RAG), inference, and analytics pipelines that operate seamlessly across cloud, edge, and on-premises environments. The result is efficiency and functionality that surpass conventional architectures.
This development follows meaningful discussions VAST Data hosted during Google Cloud Next with enterprise and cloud leaders. The focus was on the future of intelligent infrastructure and the growing need for unified, scalable data platforms. As AI workloads become more complex, managing and transferring data across different environments has become increasingly challenging. VAST’s global, AI-native architecture addresses these challenges by eliminating silos, simplifying operations, and delivering consistent performance across all AI lifecycle stages.
Unified, Scalable, and AI-Optimized Capabilities
VAST Data is shaping a new blueprint for enterprise AI—open, hybrid, and highly scalable. The following innovations are now available as part of the VAST Data Platform on Google Cloud:
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VAST InsightEngine for Intelligent Data Computation: This high-performance, stateless compute service is built directly into the platform, allowing developers to run RAG, preprocessing, and indexing pipelines natively at the data layer. This significantly speeds up insights while reducing complexity.
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Exabyte-Scale Global Namespace: VAST’s DataSpace creates a single global namespace, eliminating data silos across on-prem, edge, and multicloud environments—including Google Cloud and other hyperscalers.
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Unified Data Access: The platform supports file (NFS, SMB), object (S3), block, and database services within one coherent system, providing unmatched flexibility for AI model training and data analysis.
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Optimized for Mixed Workloads: Ideal for AI workflows, the platform manages random access patterns, small files, and metadata-intensive operations with ease—crucial for neural search, model training, and inference.
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Cost-Efficient Architecture: The disaggregated, shared-everything design enables independent scaling of compute and storage, while the always-on Similarity Reduction technology minimizes physical storage needs and cuts costs.
“This collaboration represents a leap forward for organizations pushing the boundaries of what’s possible with AI,” said Renen Hallak, Founder & CEO of VAST Data. “By combining Google Cloud’s elasticity with the VAST Platform’s intelligence, we empower developers to build smarter and scale faster.”
With the integration now available via Google Cloud, organizations can quickly deploy VAST’s enterprise-grade platform to accelerate AI, ML, and analytics initiatives. This enables unification of AI training, RAG workflows, and unstructured data lakes on one high-performance platform—reducing complexity and opening new frontiers in data innovation.
Sameet Agarwal, VP/GM Storage at Google Cloud, added: “Our collaboration with VAST Data brings together Google Cloud’s robust infrastructure with a unified platform tailored for AI. This partnership simplifies operations and boosts performance for demanding AI workloads.”
