KubeCon India 2025 with Kubeflow: Our Community Experience

Introduction Featured Talks Kubeflow Booth Highlights Our experience Want to help? KubeCon + CloudNativeCon India 2025 in Hyderabad was an absolute blast! As a second-time attendee ( Akash Jaiswal ) and a first-time attendee ( Yash Pal ), we couldn’t help but be blown away by the incredible energy at one of world’s biggest cloud native gatherings. We were super excited seeing Kubeflow get a special shoutout during the opening keynote for its role in cloud native AI/ML and MLOps - definitely made us proud to be part of the community! (Above image shows the keynote moment) We also got super lucky with the chance to volunteer at the Kubeflow booth this year. We also met Johnu George in person, who delivered two amazing talks on Kubeflow’s latest capabilities. It was really exciting to finally meet community members face-to-face whom we’ve only seen in community calls and Slack! This blog shares all the exciting bits from our packed 2 days at KubeCon - from awesome booth conversations to technical deep-dives. We hope this motivates more community members to not just contribute but also attend and help Kubeflow at events like KubeCon. Trust me, you won’t want to miss the next one! 😊 Cloud Native GenAI using KServe and OPEA Speakers: Johnu George , Gavrish Prabhu (Nutanix) Sched Link: View on Sched Bridging Big Data and Machine Learning Ecosystems Speakers: Johnu George , Shiv Jha (Nutanix) Sched Link: View on Sched Here’s a picture of our Kubeflow booth volunteer team. It was really great to meet and interact with audiences who had dozens of questions about Kubeflow, contributors who wanted to help, and developers who were already using it and shared their experiences. Here are some key highlights from our booth conversations: Community Engagement: Discussions on real-world use cases and deployment strategies. Few users shared their experience of using Kubeflow in their companies and how its benefiting them. Many of the audience wants to learn more about how to explore and contribute to Kubeflow. (Answers: Join community calls, and check out GitHub for open issues) Several companies expressed interest in adopting projects like Kubeflow. Few senior engineers were already using it for some of their workloads, now they want to use it for production workload.