VAST Data brings AI Operating System to Microsoft Azure
Briefly

VAST Data brings AI Operating System to Microsoft Azure
"The collaboration aims to help organizations unify their data and AI pipelines. Azure users will gain access to VAST's suite of data services, including unified storage, data cataloging, and database capabilities. VAST Data announced during Microsoft Ignite that the AI Operating System will be available to Azure users. The platform is designed to enable the next wave of agentic AI."
"The VAST AI OS runs on Azure infrastructure. Customers can implement the platform using the same tools, governance, security, and billing frameworks they already know. Azure users will have access to a range of capabilities. VAST InsightEngine and AgentEngine run intelligent, data-driven workflows directly where the data resides. InsightEngine delivers stateless, high-performance compute and database services that accelerate vector search, RAG pipelines, and data preparation."
"For training and running models, VAST AI OS leverages Azure GPU and CPU clusters. This is done through high-throughput data services, intelligent caching, and metadata-optimized I/O. The platform utilizes new Azure Infrastructure solutions, including the Laos VM Series with Azure Boost Accelerated Networking. An exabyte-scale DataSpace creates a unified global namespace. This eliminates data silos and simplifies data mobility. Customers can instantly scale from on-premises to Azure for GPU-accelerated workloads, without migration or reconfiguration."
VAST Data and Microsoft are offering the VAST AI Operating System on Azure to unify data and AI pipelines across on-premises, hybrid, and multi-cloud environments. Azure users can access unified storage, data cataloging, and database capabilities on Azure infrastructure while using existing tools, governance, security, and billing frameworks. VAST InsightEngine and AgentEngine run intelligent, data-driven workflows where data resides, providing stateless high-performance compute and database services to accelerate vector search, RAG pipelines, and data preparation. The platform leverages Azure GPU and CPU clusters, high-throughput data services, intelligent caching, metadata-optimized I/O, and specialized VMs for GPU-accelerated workloads. An exabyte-scale DataSpace creates a unified global namespace to eliminate silos and simplify mobility.
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