VAST Data's AI stacks enhance NVIDIA Blueprints. 18 Mar 2026 Quick Read Summary is AI-generated, newsdesk-reviewed * VAST Data releases Foundation Stacks to extend NVIDIA AI Blueprints for enterprise AI deployment. * Foundation stacks enable scalable, production-ready AI pipelines on the VAST AI Operating System. * VAST Foundation stacks simplify AI application deployment in the cloud and on-premises environments. VAST Data has introduced VAST Foundation Stacks, a new open-source library designed to enhance and extend NVIDIA AI Blueprints into production-ready pipeline implementations directly on the VAST AI Operating System. This development aims to streamline the deployment process for enterprises using NVIDIA-powered technologies. NVIDIA AI Blueprints. NVIDIA AI Blueprints serve as a foundational tool for developers seeking to build sophisticated AI applications and intelligent agents. These blueprints utilise NVIDIA AI Enterprise software to facilitate the rapid prototyping, customisation, and deployment of domain-specific AI workflows with minimal integration requirements. VAST Foundation Stacks take these blueprints further by creating ready-to-use templates that facilitate seamless deployment on the VAST AI Operating System, allowing developers to concentrate on strategic business logic and rapidly deliver AI applications. Streamlining AI deployment. Enterprises are eager to implement proven AI patterns, yet many reference models require significant integration to ensure secure and reliable operation in production environments. Often, teams must amalgamate fragmented infrastructure, orchestration layers, and data services to render AI applications deployment-ready. VAST Foundation Stacks address this issue by transforming NVIDIA AI Blueprints into repeatable, enterprise-ready implementations that run natively on the VAST AI Operating System. This unification of data access, database services, compute orchestration, eventing, and pipeline execution allows organisations to deploy scalable AI pipelines without the complexity of building infrastructure from scratch. Compatibility and availability. VSS ingests video and delivers insights via indexing, summaries, and Q&A on VAST AI OSThese foundation stacks can be deployed seamlessly on any system running the VAST AI OS, whether in the cloud or on-premises with VAST's new CNode-X platforms, as part of the NVIDIA AI Data Platform reference design. The initial Foundation Stacks are based on NVIDIA AI Blueprints for Video Search and Summarisation (VSS) and NVIDIA AI-Q. The VSS-based stack allows enterprises to ingest large quantities of video and derive insights through semantic indexing, summarisation, and interactive question-and-answer functionalities, leveraging VAST AI OS's robust data and pipeline services. The AI-Q based stack offers a framework for building custom AI researchers that synthesise hours of research swiftly, providing secure and scalable reasoning pipelines. Expert insights. John Mao, Vice President, Global Technology Alliances at VAST Data, stated, "NVIDIA AI Blueprints have given the market an important starting point for building next-generation applications, but enterprises still need a production-ready way to deploy and operate those capabilities at scale. With VAST Foundation Stacks, VAST is taking the architectural patterns behind leading NVIDIA Blueprints and giving customers a faster path from experimentation to production for scalable AI pipelines, video intelligence, and agentic AI systems." Adel El Hallak, Vice President, Product at NVIDIA, added, "As enterprises transition to production AI at scale, preparing enterprise data for AI has become one of the biggest challenges. Turning data into AI-ready pipelines needs to be done continuously and requires full-stack acceleration across compute, networking and software. By extending NVIDIA AI Blueprints with the VAST AI Operating System, customers can prepare and serve data so intelligent agents are always working off the most recent and accurate information." Future developments. Beyond the current VSS and AI-Q implementations, VAST plans to release additional foundation stacks in the near future, including industry-specific examples. These will be accessible via a public GitHub repository, offering interactive demos and upcoming sandbox environments for customers and partners.

Exostellar joins Vast Cosmos to deliver faster, cost-effective heterogeneous AI infrastructure. Exostellar has officially joined the prestigious Vast Cosmos Community. Exostellar, a player in heterogeneous AI infrastructure orchestration and optimization, announced it has joined the Vast Cosmos Community, a global community of developers, builders and experts in innovative AI solutions, as a technology partner. Collaborating with Vast Data, an AI operating system company, Exostellar is helping customers maximize infrastructure efficiency, performance and ROI by delivering topology-aware GPU orchestration and optimization capabilities built on the Vast AI Operating System. Traditional AI deployments often suffer from siloed compute and storage management, leading to "blind" scheduling that ignores data locality and bottlenecks performance. Through the Cosmos partner program, Vast, and Exostellar have aligned on a consistent framework to build, validate, and scale AI-ready solutions that will reduce job delays and improve performance for multi-vendor GPU environments - as a unified, high-performance resource. "Enterprises are looking for a simpler, more consistent way to deploy production AI, backed by validated integrations they can trust," said John Mao, VP, global technology alliances, Vast Data. "We're proud to welcome Exostellar into the Vast Cosmos Community, expanding the ecosystem of industry-leading solutions built on the Vast AI Operating System." "It is a big milestone to join the Vast Cosmos program for Exostellar as we focus on delivering faster, cost-effective training and inference for complex AI environments," said Tony Shakib, CEO, Exostellar. "By aligning Exostellar solutions with the Vast AI Operating System, we are ensuring compute and storage work in lockstep through storage-locality-aware scheduling to eliminate the bottlenecks that stall innovation. Exostellar's joint value centers on "co-optimization" between the storage layer and infrastructure management. This technology partnership will enable organizations utilizing Exostellar in a Vast environment to experience: * Optimized Data Locality: Reducing delays by scheduling jobs based on storage topology to ensure workloads get the maximum benefit from Vast's performance * Full-Stack Efficiency: Combining storage, infrastructure management, and GPU optimization into a seamless experience for training and inference workloads * Increased Infrastructure ROI: Maximizing multi-vendor GPU utilization alongside Vast's unified data services to reduce overall costs Read also: Vast AI OS will leverage Nvidia libraries to accelerate both compute and data services for RAG, vector search, real-time SQL, and agentic applications From a full-stack agentic computing platform into a secure and scalable thinking machine Industry's first global control plane purpose-built for AI data infrastructure spanning hyperscale cloud and datacenter deployments New partner program within Vast's Cosmos Community creates a single, clear path for technology alliance, cloud and channel partners to build, validate, sell, and deliver AI-ready solutions on the Vast AI Operating System Confirming an extraordinary company trajectory Top News By Philippe Nicolas February 6, 2026 | News

The AlleyWatch startup daily funding report: 3/11/2026. The latest venture capital, seed, pre-seed, and angel deals for NYC startups for 3/11/2026 featuring funding details for VAST Data, Moxie, and much more. This page will be updated throughout the day to reflect any new fundings. VAST Data - $500M. VAST Data, an AI-powered operating system that unifies storage, database, and compute for data-intensive applications, has raised $500M in additional funding. The round comes at a reported $30B valuation and included an additional $500M secondary offering. Founded by Alon Horev, Jeff Denworth, Mohd Fairuz Razi bin Sharuddin, Renen Hallak, and Shachar Fienblit in 2016, VAST Data has now raised a total of $900M in reported equity funding. Moxie - $25M Series C. HEALTHTECH Moxie, an all-in-one medspa management platform for medspas, has raised $25M in Series C funding led by Viewpoint Ventures. Founded by Daniel Friedman, Emma Gilsanz, and Sam Gerstenzang in 2022, Moxie has now raised a total of $51M in reported equity funding. REACH NYC TECH LEADERS AlleyWatch is NYC's leading source of tech and startup news, reaching the city's most active founders, investors, and tech leaders. Advertise today PactFi - $25M Series A. PactFi, a secure platform for managing complex private credit transactions, has raised $25M in Series A funding led by 7RIDGE. PactFi was founded by Alexa Halcomb and Emma Zhang in 2021. Ernesta - $20M Series B. Ernesta, a direct-to-consumer custom rug company, has raised $20M in Series B funding led by Addition. Founded by John Foley, Hisao Kushi, and Yony Feng in 2022, Ernesta has now raised a total of $57.5M in reported equity funding. AlleyWatch broke the news in an exclusive covering the round and much more - Ernesta Raises $20M to Expand Its Custom-Sized Rug Platform Nationwide. You are seconds away from signing up for the hottest list in NYC tech! Sigma 360 - $17.3M Series B. Sigma 360, a risk and compliance data platform for financial institutions and corporations, has raised $17.3M in Series B funding led by Moderne Ventures. Founded by Gabrielle Haddad and Stuart Jones, Jr. in 2016, Sigma 360 has now raised a total of $26.4M in reported equity funding. About alleywatch. Contact.