Join us for the Chandigarh meetup
with AI touch, a vibrant community meetup powered by the Cloud Native Computing Foundation (CNCF) – where cloud native technologies meet the accelerating world of AI!
This edition focuses on the intersection of Cloud Native and AI, bringing together developers, DevOps professionals, platform engineers, researchers, and enthusiasts to explore:
🚀 How Kubernetes powers scalable AI workloads
🧠 Real-world use cases of AI/ML in cloud-native environments
🔍 Open source tools for MLOps, observability, and cost optimization
⚙️ Running LLMs and inference workloads in modern architectures
Expect lightning talks, deep dives, interactive demos, and local speaker sessions featuring experts working across the CNCF and AI ecosystem.
Whether you're new to cloud-native or exploring how to run AI at scale—this meetup is the perfect place to connect, learn, and grow with the community.
🗓️ Date: July 26th , 2025
📍 Location: Infosys, Chandigarh Campus
🎤 Talks, Networking, Swag & Snacks included!
Let’s build and scale smarter—together.
📝 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
- We welcome submissions that touch on (but are not limited to):
- Kubernetes in AI/ML workloads (inference, training, scheduling)
- MLOps, CI/CD for AI, and GitOps pipelines
- Cloud Native Observability (Prometheus, OpenTelemetry, Grafana, etc.)
- CNCF projects like Argo, Dapr, Crossplane, KubeFlow, vCluster, etc.
- AI agent orchestration on Kubernetes
- Real-world case studies from startups, enterprises, or academia
- Cost optimization for AI workloads (e.g., multi-tenancy, GPU sharing)
- 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.
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