Editorial · 2026
The Cloud Native AI Summit
Editorial Manifesto
How infrastructure and intelligence merge — and what it means for the practitioners building production systems today.
As infrastructure and intelligence merge, the cloud-native stack is not only the foundational infrastructure of today's traditional systems, but it is becoming the foundational platform for AI.
Core Editorial Pitch
Cloud native transformed how the industry builds and runs software. Kubernetes, containers, and platform engineering remain the foundation of production systems everywhere — and now that same foundation is entering its next phase.
The Cloud Native AI Summit covers both sides of that story. We want talks on the fundamentals — scaling clusters, networking, observability, security, Developer Experience and platform engineering — and talks on what's new: running inference and agents in production, evaluating models in CI/CD, and operating systems that no longer behave deterministically.
If you run cloud native in production, you belong here — whether your workloads are microservices, models, or both.
We accept both core cloud native and AI/ML content. If it's cloud native, it belongs here — with or without AI.
Our North Star Question
“How do we evolve our cloud-native foundations to architect, scale, and operate the intelligent workloads of the future alongside the enterprise systems of today?”
Our North Star Question acts as our editorial compass. It guarantees a highly curated, sharp technical agenda, ensuring that no matter how deep down an architectural rabbit hole a speaker goes, their talk directly helps our audience build the infrastructure of tomorrow.
Conference Tracks
Infrastructure, Platform & AI Inference Engineering
From Clusters to GPUs
Building and scaling the platforms everything runs on: Kubernetes, networking, storage, and platform engineering — plus multi-cluster orchestration, GPU infrastructure, high-performance storage for AI, and treating inference as a first-class workload.
Architecture & Agents
Engineering for Adaptive Workloads
How applications are built on cloud native today — and how AI is changing that. Microservices, event-driven architectures, and API design, alongside developer challenges like evaluating model performance in CI/CD pipelines and managing prompts alongside code.
Operations, Security & Governance
Transitioning to and Running AI in Production
Running hybrid systems in production: day-2 operations, compliance, data sovereignty, multi-region routing, air-gapped deployments, and supply chain security for modern enterprise environments.
Who You'll Be Speaking To
A high-scale audience: Senior Platform Engineers, DevOps/SREs, Cloud-Native Architects, LLMOps Engineers, Network Engineers and AI Developers from large multinational organizations. We encourage advanced, in-depth sessions as our audience operates production systems at scale and expects expert-level content.
Language Guidelines
To welcome and accommodate our diverse international community, the official language of the Cloud Native AI Summit is English.
Session Formats
Standard Presentation
25 MinutesA deep dive into a specific topic, architectural pattern, or case study. This format supports either a solo presenter or a duo co-presentation.
Lightning Presentation
10 MinutesA fast-paced, high-impact talk focusing on a single core idea, quick tip or project overview. This format is strictly for solo presenters.
Submit Your Talk
First time speaking or fiftieth — if you're running cloud native in production, we want to hear from you.
CFP closes August 14, 2026.
Not sure your idea fits? Contact us at content@cloudnative.ai