--- title: The platform under the model: How cloud native powers AI... description: AI workloads are increasingly running on Kubernetes in production, yet many teams struggle to bridge the gap between a working model and a reliable system. The... canonical: https://daily.dev/posts/the-platform-under-the-model-how-cloud-native-powers-ai-engineering-in-production-7dij7v9wr twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The platform under the model: How cloud native powers AI engineering in production | daily.dev og:description: AI workloads are increasingly running on Kubernetes in production, yet many teams struggle to bridge the gap between a working model and a reliable system. The... og:url: https://daily.dev/posts/the-platform-under-the-model-how-cloud-native-powers-ai-engineering-in-production-7dij7v9wr og:image: https://api.daily.dev/og/posts/7Dij7v9wr.png og:image:alt: The platform under the model: How cloud native powers AI engineering in production og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The platform under the model: How cloud native powers AI engineering in production **[CNCF](https://daily.dev/sources/cncf)** · 7 min read · 2 upvotes · 0 comments ## Summary AI workloads are increasingly running on Kubernetes in production, yet many teams struggle to bridge the gap between a working model and a reliable system. The CNCF ecosystem provides key building blocks: Dynamic Resource Allocation (DRA) for GPU scheduling, the Gateway API Inference Extension for inference routing, OpenTelemetry and Prometheus for AI-specific observability metrics, Kubeflow for ML workflows, and OPA/SPIFFE for policy and security. Only 41% of professional AI developers currently identify as cloud native, revealing a cultural gap between AI practitioners and platform engineers. The post outlines practical starting points for both audiences and argues that open source composability, portability, and community-driven evolution make the cloud native stack uniquely suited for production AI infrastructure. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Cloud native is now AI-native: Engineering production-ready AI](https://daily.dev/posts/cloud-native-is-now-ai-native-engineering-production-ready-ai-xqzt6k4hw) · CNCF · 1 upvotes · 0 comments - [Your Kubernetes platform is ready for containers. Is it ready for AI?](https://daily.dev/posts/your-kubernetes-platform-is-ready-for-containers-is-it-ready-for-ai--ljcuoe2aa) · CNCF · 0 upvotes · 0 comments - [Cloud Native Is Becoming AI Native](https://daily.dev/posts/cloud-native-is-becoming-ai-native-g9b6ow133) · Cloud Native Now · 0 upvotes · 0 comments - [How Cloud Native Became the AI Native Stack](https://daily.dev/posts/how-cloud-native-became-the-ai-native-stack-l4talt6kk) · Cloud Native Now · 0 upvotes · 0 comments --- Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#cloud-native](https://daily.dev/tags/cloud-native), [#mlops](https://daily.dev/tags/mlops), [#ai-engineering](https://daily.dev/tags/ai-engineering) [View this post on daily.dev](https://daily.dev/posts/the-platform-under-the-model-how-cloud-native-powers-ai-engineering-in-production-7dij7v9wr) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"The platform under the model: How cloud native powers AI engineering in production","url":"https://daily.dev/posts/the-platform-under-the-model-how-cloud-native-powers-ai-engineering-in-production-7dij7v9wr","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-platform-under-the-model-how-cloud-native-powers-ai-engineering-in-production-7dij7v9wr"},"datePublished":"2026-03-26T09:11:34.156Z","dateModified":"2026-03-26T09:11:59.210Z","description":"AI workloads are increasingly running on Kubernetes in production, yet many teams struggle to bridge the gap between a working model and a reliable system. 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