📝 What We Expect from Submitted Sessions
We’re excited to invite talk proposals that highlight innovations, best practices, lessons learned, or cool experiments in the Cloud Native and AI space.
✅ Accepted Topics
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We welcome submissions that touch on (but are not limited to):
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Kubernetes in AI/ML workloads (inference, training, scheduling)
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MLOps, CI/CD for AI, and GitOps pipelines
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Cloud Native Observability (Prometheus, OpenTelemetry, Grafana, etc.)
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CNCF projects like Argo, Dapr, Crossplane, KubeFlow, vCluster, etc.
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AI agent orchestration on Kubernetes
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Real-world case studies from startups, enterprises, or academia
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Cost optimization for AI workloads (e.g., multi-tenancy, GPU sharing)
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Developer experience, platform engineering, and sustainability in AI infrastructure
🎤 Accepted Formats
Lightning Talks (5–10 mins) – Great for sharing tools, tips, or ideas
Tech Talks (15–25 mins) – Dive deep into a topic or show a demo
Hands-on Demos (10–20 mins) – Live walkthroughs, experiments, or tutorials
Panel Discussions (20–30 mins) – We’re happy to help you build a panel!
📈 Level of Expertise
We’re looking for sessions at all levels:
Beginner – Just getting started with Cloud Native or AI? Great!
Intermediate – Working on interesting integrations or use cases? Tell us.
Advanced – Running AI at scale or solving infra challenges? We'd love to hear it.
🧑🤝🧑 Target Audience
Our audience includes:
Cloud-native and platform engineers
AI/ML developers and data scientists
SREs, DevOps, and Infra architects
Students and early-career professionals
Contributors to open source projects
Whether you're a first-time speaker or a seasoned expert, we encourage you to submit your session idea.
📜 Code of Conduct
We are committed to creating a welcoming and inclusive environment for all. Please review the CNCF Code of Conduct before submitting.
