Nvidia GTC 2026: Quobyte appoints storage industry veteran Andrew Perry as Vice president of Sales to drive global expansion. Andrew brings 20+ years of enterprise storage expertise and a proven track record of building world-class sales organizations and scaling high-performance teams through major industry shifts. Quobyte, a provider of high-performance storage, architected for AI, announced the appointment of Andrew Perry as vice president of Sales. Perry, a seasoned sales executive with over two decades of experience in the enterprise storage and data management sectors, will lead Quobyte's global sales strategy as the company enters its next phase of hyper-growth. Perry joins Quobyte from ScienceLogic, where he served as Vice president of Sales for the Americas, consistently driving record-breaking revenue and expanding the company's footprint across the enterprise and public sectors. His career also includes senior leadership roles at Weka, SpringPath and Violin Memory, where he was instrumental in scaling high-performance sales teams and navigating the transition from legacy hardware approaches to modern, cloud-native software architectures. "The storage market is at a massive inflection point. Organizations are moving away from the rigid, expensive hardware silos of the past toward the flexibility and performance of software-defined infrastructure architected for AI," said Björn Kolbeck, CEO and co-founder, Quobyte. "Andrew's track record of building world-class sales organizations and his deep understanding of the high-performance storage landscape make him the perfect leader to accelerate our momentum. His arrival marks a significant milestone as we challenge the incumbents and redefine what's possible in the AI era." Perry's appointment comes at a time of significant disruption in the storage industry. While competitors like Pure Storage, Weka, and Vast Data have highlighted the demand for flash and scale-out architectures, Quobyte's unique software-only, ultra-resilient scale out approach provides a level of hardware independence and operational simplicity that legacy-bound vendors cannot match. "Quobyte is the best-kept secret in the storage industry, and that is about to change," said Andrew Perry, VP, sales, Quobyte. "Having spent my career at the forefront of innovation, I've seen how difficult it is for enterprises to manage massive growth in unstructured data without sacrificing performance or breaking the budget. Quobyte has solved the 'impossible' trade-off between extreme scale and ease of management. I am thrilled to join this world-class team and help our customers build the data foundations they need for the next gen of AI and high-performance computing." At Quobyte, Perry will oversee all aspects of the global sales organization, including direct sales, channel partnerships, and strategic alliances. His immediate focus will be on expanding Quobyte's presence in key verticals such as Neoclouds, Financial Services, M&E, Life Sciences, and Research-sectors where Quobyte's ability to deliver linear scalability and 100% uptime is a critical competitive advantage. Read also: Improvements include ARM support, cloud object storage integration, and end-to-end observability for scalable AI infrastructure Supported processors include Nvidia Grace, Ampere CPUs, and AWS Graviton Formerly Penguin Computing, Toshiba, CiaraTech, Smart Storage, and Sanmina

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