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The fusion of artificial intelligence and Kubernetes is redefining modern infrastructure, shifting how systems are built, deployed and scaled. Cloud-native now extends beyond centralized data centers to the intelligent edge, where real-time analytics and data sovereignty drive innovation, paving the way for a unified AI-Kubernetes integration framework. Modern infrastructure is shifting fast as cloud-native design stretches beyond centralized data centers to the intelligent edge, where real-time analytics and data sovereignty drive innovation. At the center of this shift lies a new kind of power: AI-Kubernetes integration. By uniting compute orchestration with intelligent data access, organizations can deploy, scale and mobilize workloads seamlessly across diverse environments. This convergence marks the next evolution of cloud-native infrastructure, where AI-Kubernetes integration becomes essential, according to Alon Horev (pictured), co-founder and chief technology officer of Vast Data Inc. “When people say cloud-native, it’s really the ability for infrastructure providers to build consistency across different venues and locations where processing takes place,” Horev said. “What we’ve done over the last few years is to bring compute capabilities into that data. What [artificial intelligence] models bring to the table is the ability to understand what’s buried in data, especially with embedding models for video, for audio, and Kubernetes has been something that has been an enabler for customers to build environments, to build platforms across clouds [and] on-prem environments.” Horev spoke with theCUBE’s Rob Strechay in a preview for the KubeCon + CloudNativeCon NA event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI-Kubernetes integration is redefining modern infrastructure and how Vast Data is driving this shift forward. (* Disclosure below.) Bringing cloud intelligence to the edge with AI-Kubernetes integration As workloads become more distributed, data processing must move closer to where information is generated. AI-Kubernetes integration enables this shift by supporting edge environments that match the scalability and consistency of cloud infrastructure, according to Horev. “What we’ve been seeing lately is that processing needs to get closer to the edge,” he said. “When you have an AI model that can reason and understand what’s happening live connected to a video camera, you can’t necessarily move that data all the way to the other side of the country or to another continent in order to run inference. Being able to deploy both in the cloud and at the edge is really a liberating component for infrastructure teams, and we’ve been supporting Kubernetes day one in the sense that Kubernetes orchestrates compute.” Vast Data is rethinking how developers interact with modern data infrastructure through open-source tools and application programming interfaces that support automation and fine-grained control of data pipelines across multi-tenant environments. The VAST Data Platform functions as a unified operating system that integrates storage, compute orchestration and intelligent data management, according to Horev. “Sharing resources is exactly what Kubernetes lets you do,” he said. “Doing that for the data layer is similar but different. On one hand, you want to be able to use a single pool of compute power, of storage power and feed all of those different users’ workloads, applications. Being able to support different workloads that are competing for resources required this architecture that we’ve built that enabled us to implement key [operating system] policies and zero trust in a sense that we can have strong authentication all the way to the end user without compromising security, without compromising flexibility.” Open-source innovation continues to shape the cloud-native ecosystem, driving interoperability and scalability across diverse infrastructures, according to Horev. By encouraging collaboration among developers, enterprises and researchers, open source helps accelerate the evolution of tools, standards and integrations across the cloud-native stack. “What matters to a lot of people that are leveraging open source is the freedom,” he said. “When you look at the data layer, there’s sometimes a conflation between a product and a protocol. Vast supports and encourages standard protocols, Amazon’s S3 and Kafka and all of those protocols are standards that we support, and that encourages an ecosystem to build tools on top of those and to keep improving and compute without necessarily locking in the end user to a specific product. Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the KubeCon + CloudNativeCon NA event: (* Disclosure: Vast Data Inc. sponsored this segment of theCUBE. Neither Vast Data nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE
