VAST Data & Google Cloud Partner to Fast-Track AI Innovation

VAST Data, a leading provider of AI data infrastructure, has announced an expanded collaboration with Google Cloud aimed at empowering enterprises and AI innovators to fully harness the capabilities of the VAST Data Platform. Purpose-built for large-scale AI and data processing, the platform now features seamless integration with Google Cloud, offering a unified foundation for AI training, retrieval-augmented generation (RAG), inference, and analytics across cloud, edge, and on-premises environments. This deep integration brings enhanced functionality and efficiency not typically achievable with traditional systems.

Driving Unified AI Infrastructure at Scale

This announcement builds on extensive discussions held at Google Cloud Next, where VAST engaged with global enterprises and cloud experts to explore the future of AI infrastructure. With AI workloads growing in complexity and volume, organizations increasingly struggle to manage and transfer data across diverse environments. VAST’s AI-native platform addresses these challenges head-on with a global architecture that removes data silos, simplifies operations, and ensures consistent performance throughout the entire AI lifecycle.

Introducing a Scalable, Hybrid Model for Enterprise AI

VAST is championing a new model for enterprise AI—one that is open, hybrid, and scalable by design. This vision empowers organizations to deploy AI solutions flexibly across multiple environments without compromising performance or manageability.

Key Capabilities Now Available on Google Cloud

InsightEngine for In-Place Data Computation: The VAST InsightEngine introduces high-performance, stateless database and compute services directly into the data platform. This allows developers and data scientists to run AI workflows, such as RAG, data preprocessing, and indexing, right at the data layer, accelerating insights and minimizing infrastructure complexity.

Exabyte-Scale Global Namespace: With VAST DataSpace, users benefit from a single, global namespace that connects data across on-premises systems, edge locations, and multiple cloud environments, including Google Cloud. This eliminates traditional data silos and simplifies access and movement across a hybrid infrastructure.

Unified Access Across Data Types: VAST’s platform uniquely combines file (NFS, SMB), object (S3), block, and database access into one cohesive system. This provides maximum flexibility for teams working on data analytics, training AI models, or managing large-scale unstructured data—all within a unified platform.

Optimized for Modern AI Workloads: Engineered for mixed I/O and metadata-heavy operations, the platform is ideal for AI-driven tasks such as neural search, training, and inference. Its ability to efficiently handle small files and random access patterns makes it especially suited to today's complex AI pipelines.

Disaggregated Architecture for Cost-Efficient Scaling: VAST’s disaggregated, shared-everything architecture allows compute and storage to scale independently, delivering high throughput while optimizing cost. The platform’s built-in Similarity Reduction technology significantly reduces physical storage needs, offering substantial savings without sacrificing performance.

“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 the elasticity and reach of Google Cloud with the intelligence and simplicity of the VAST Data Platform, we’re giving developers and researchers the tools they need to move faster, build smarter, and scale without limits.”

Accelerating AI Deployment with Google Cloud

Available directly through Google Cloud, the VAST Data Platform enables organizations to rapidly deploy a robust AI and analytics infrastructure with minimal operational overhead. Enterprises can now consolidate their AI training, RAG pipelines, high-speed data processing, and unstructured data lakes into one high-performance platform, reducing complexity and unlocking new potential for innovation in data-driven applications.

“Our collaboration with VAST Data brings together Google Cloud’s powerful, flexible infrastructure with a unified data platform purpose-built for AI,” said Sameet Agarwal, VP/GM Storage, Google Cloud. “VAST is enabling customers to simplify data operations and accelerate performance across their demanding, data-intensive AI workloads.”