Industry experts weigh in as AI moves from proof of concept to production

Nutanix Inc., Super Micro Computer Inc., MinIO Inc., and Peak:AIO Ltd. are collaborating to simplify the move of AI from proof of concept to production, addressing the challenge of constrained resources shared by a massive set of new users. Ruhi Sehgal, agentic AI solutions marketing lead at Nutanix, said the industry is shifting from proofs of concept into the real work of pushing agentic AI into production, requiring infrastructure admins to manage multi-tenancy, security, and performance. Super Micro's Wendell Wenjen highlighted that engineered systems validated for interoperability and performance help reduce complexity, while MinIO's AIStor provides a fully S3-enabled, linearly scalable storage layer for production-grade ecosystems.

Industry experts weigh in as AI moves from proof of concept to production “We’ve proven AI works, now what?” This common question is being echoed in the halls of numerous enterprise organizations around the globe. It highlights how the path from proof of concept to AI production remains a major challenge for enterprises today. The answer can be found in less emphasis on models and more on operationalization. The next step is to optimize a set of processes not unlike those executed by infrastructure administrators every day, according to one industry executive on the front lines of AI deployment https://siliconangle.com/2026/08/12/ai-deployment-supermicros-partners-vertical-supermicroopenstoragesummit/ . “We’re in the middle of a massive industry shift,” said Ruhi Sehgal https://www.linkedin.com/in/ruhi-sehgal/ pictured, bottom left , agentic AI solutions marketing lead at Nutanix Inc. “We’re moving from proofs of concept into the real work of pushing agentic AI into production. But with this shift comes a new dynamic we know all too well, which is we have highly constrained resources that need to be shared by a massive set of new users. How do I ensure resilience? What infrastructure admins do every day, which is managing multi-tenancy, ensuring security, optimizing performance, that’s exactly what AI needs.” Sehgal spoke with theCUBE Research’s Rob Strechay https://www.linkedin.com/in/robstrechay/ for the Supermicro Open Storage Summit interview series https://www.thecube.net/events/supermicro/open-storage-summit-2026?utm source=siliconangle&utm medium=article&utm campaign=supermicro open storage summit 2026 , during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. She was joined by Wendell Wenjen https://www.linkedin.com/in/wendellwenjen/ bottom right , senior director of marketing development, storage solutions, at Super Micro Computer Inc.; Bill Miller https://www.linkedin.com/in/datameister/ top left , senior director of lakehouse and AI solutions marketing at MinIO Inc.; and Chris Ratcliffe https://www.linkedin.com/in/christopherratcliffe/ top right , vice president of marketing at Peak:AIO Ltd. They discussed what separates successful AI deployments from stalled projects and the practical approaches for scaling AI across enterprises. Disclosure below. Simplifying AI production One message https://www.ddn.com/press-releases/new-ddn-report-reveals-65-of-organizations-are-struggling-to-achieve-ai-success/ that has been clear from customers is that they do not want more complexity in moving AI from concept to production. The panelists talked about their companies’ collaboration to provide an integrated solution that streamlines this process. “What Supermicro has done working with Nutanix, with MinIO, with Peak:AIO is, at the infrastructure layer, try to reduce that complexity,” Wenjen explained. “We deliver engineered systems, which means that we’ve validated the systems for interoperability, for performance. Having that integrated solution, working with all of our partners to deliver this really engineered and defined solution with the performance that’s expected helps with that.” For MinIO, the company’s experience in object-native, S3-compatible and fully scalable storage provides it with a platform to support AI deployment in production. MinIO’s AIStor https://siliconangle.com/2024/11/19/innovations-ai-infrastructure-data-storage-kubecon/ solution centralizes and streamlines data management for enterprise AI workflows and data-intensive applications. “That is a fully S3-enabled, a fully linearly scalable storage layer that incorporates a number of key components within it that we found to be very critical in terms of being able to scale and meet a production-grade ecosystem,” Miller told theCUBE. “When you move into agentic AI where you’re working with a customer ecosystem, the performance and demand loads increase exponentially. Most organizations we work with haven’t really planned for that. Our platform is designed to accommodate all of that on a linear scale.” Building for agentic AI Working with the Los Alamos National Laboratory, or LANL, Peak:AIO has created Lattice https://www.peakaio.com/news/ article-25 , an open-source parallel pNFS metadata server that can remove storage obstacles for AI. It is built to scale elastically to 1,000 servers on standard hardware. “We’ve fixed a lot of the major issues, a lot of the complexity that comes with pNFS metadata servers,” Ratcliffe said. “We’ve built this platform specifically for AI, really great with things like small writes, small reads, lots of bursty workloads, the agentic chaos that you get that comes with AI.” The rise of agentic AI has added new layers of complexity as organizations seek to move from concept to production. Nutanix has addressed this with Agent Gateway, a solution launched https://siliconangle.com/2026/04/09/nutanix-bets-agentic-ai-governance-nutanixnext/ earlier this year that is designed to deliver visibility into what agents are running, enforce cost and security governance, and apply access controls across model endpoints. “It’s that single smart control plane to help you with your inference and model access requests,” Sehgal told theCUBE. “It gives you access control, so now agents don’t accidentally delete your database or access restricted tools. It gives you the performance improvements to increase throughput and cut down redundant processing.” Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Supermicro Open Storage Summit interview series https://www.thecube.net/events/supermicro/open-storage-summit-2026?utm source=siliconangle&utm medium=article&utm campaign=supermicro open storage summit 2026 . 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