Microsoft Azure customers will gain access to the VAST AI OS, built for the demands of agentic AI in hybrid and multi-cloud environments
Remote-First-Company | SAN FRANCISCO, CA, Nov. 18, 2025 (GLOBE NEWSWIRE) — VAST Data, the AI Operating System company, announced today at Microsoft Ignite a collaboration with Microsoft to power the next wave of agentic AI. Available soon to Azure customers, the VAST AI OS provides a simple way to deploy high-performance, scalable AI infrastructure in the cloud.
Enterprises will be able to access VAST’s complete suite of data services in Azure, including unified storage, data cataloging, and database capabilities to support complex AI workflows. This integration will enable organizations to manage data seamlessly across on-premises, hybrid, and multi-cloud environments, delivering the scale, intelligence, and automation required to accelerate AI innovation.
The VAST AI Operating System will run on Azure infrastructure, which means that clients will be able to use the same tools, rules, security, and billing systems that they are used to. The answer will provide unified management, steady performance, and Azure-level dependability.
Jeff Denworth, Co-Founder of VAST Data, said, “This partnership with Microsoft shows how we both see the future of AI infrastructure: where performance, scale, and simplicity come together to let businesses change their business with agentic AI.” “Becoming an Azure Partner is the first step on that path. Customers will be able to combine their data and AI pipelines across different environments with the same power, ease of use, and speed that they expect from VAST. Now, they can also use Microsoft’s global cloud, which is more flexible and reliable.
Azure users will be able to use all of the features of the VAST AI OS that runs on Azure, such as:
- Built for Agentic AI: Leverage VAST InsightEngine and AgentEngine to run intelligent, data-driven workflows directly where data lives. InsightEngine delivers stateless, high-performance compute and database services that accelerate vector search, RAG pipelines, and data preparation. AgentEngine orchestrates autonomous agents operating on real-time data streams, enabling continuous AI reasoning across hybrid and multi-cloud environments.
- Performance at Scale for Model Builders: Designed for the demands of model training and inference, VAST AI OS keeps Azure GPU and CPU clusters saturated with high-throughput data services, intelligent caching, and metadata-optimized I/O to ensure predictable performance from pilot to multi-region scale. VAST benefits from the latest Azure Infrastructure solutions including the Laos VM Series using Azure Boost Accelerated Networking.
- Seamless Hybrid AI Workflows: An exabyte-scale DataSpace creates a unified global namespace that eliminates data silos and enables effortless data mobility. Customers can instantly burst from on-premises to Azure for GPU-accelerated workloads without migration or reconfiguration.
- Unified Data Access: VAST’s DataStore supports file (NFS, SMB), object (S3), and block protocols, while the VAST DataBase combines transactional performance with the query speed of a warehouse and the economics of a data lake, allowing diverse workloads to run on one platform without compromise.
- Elastic, Cost-Efficient Architecture: VAST’s Disaggregated, Shared-Everything (DASE) design enables independent scaling of compute and storage resources within Azure. Combined with built-in Similarity Reduction, the platform minimizes storage footprint and reduces cost for large-scale AI infrastructure.
According to Aung Oo, Vice President of Azure Storage at Microsoft, “VAST’s AI Operating System running on Azure will give Azure customers a high-performance, scalable platform built on the Laos VM Series using Azure Boost that seamlessly extends on-premises AI pipelines into Azure’s GPU-accelerated infrastructure.” “Many AI model builders around the world use VAST because it is scalable, has great speed, and is built for AI. This partnership can help our shared clients run their businesses more smoothly, save money, and get insights from AI workloads of all sizes faster.
Microsoft is still putting money into the future of AI infrastructure, including its own custom silicon projects. VAST will work closely with the Azure team to make sure that the next-generation platform meets all of its needs. This partnership makes VAST a key part of Microsoft’s larger AI computing strategy, which will help new computing technologies reach their full potential. The firms will work together to make sure that all future AI systems, no matter what kind of processor or model architecture they use, run on an AI operating system that is easy to use, scalable, and fast.
Upcoming Joint Appearances
Renen Hallak, the founder and CEO of VAST Data, will be at Microsoft Ignite in San Francisco and accessible for meetings with customers. He will talk about how Azure and the VAST AI Operating System will help businesses use agentic AI on a global scale.
Andrew Jones, Engineering Leader for Future Supercomputing & AI Capabilities, will be at Supercomputing 2025 in St. Louis on November 19 to talk about how Azure AI and current data strategies are changing the AI cloud. Sign up here to come to the breakfast meeting and talk about the future of AI infrastructure. Representatives from both VAST and Microsoft will also give technical talks and demonstrations at their booths during the event. Go to VAST Booth #3204 and Microsoft Booth #1627 to find out more.
About VAST Data
VAST Data is the firm behind the AI Operating System. It powers the next generation of smart systems with a single software infrastructure stack that was designed to make the most of AI. The VAST AI OS combines basic data and computing services with agentic execution into a single, scalable platform. This lets businesses deploy and communicate with AI agents, reason over real-time data, and automate complicated operations on a global scale. VAST has turned its current infrastructure into a worldwide fabric for thinking AI. This is possible because of VAST’s groundbreaking DASE architecture, which is the world’s first genuine parallel distributed system architecture that doesn’t require trade-offs between performance, scale, simplicity, and robustness.
