Kubeflow

🚀 𝗖𝗙𝗣 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝗖𝗼𝗺𝗶𝗻𝗴 𝗨𝗽 𝗦𝗼𝗼𝗻! The Call for Proposals for two exciting AI-focused co-located events at KubeCon + CloudNativeCon Europe is closing this 𝗦𝘂𝗻𝗱𝗮𝘆, 𝗡𝗼𝘃 𝟮𝗻𝗱! If you’re working on AI infrastructure, agents, or cloud-native AI systems, this is your chance to share your work with the community. Don’t miss out! 𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝘀 𝗗𝗮𝘆: https://lnkd.in/g-c-hPNe 𝗖𝗹𝗼𝘂𝗱 𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗗𝗮𝘆: https://lnkd.in/gYAN6aR8 #KubeCon #CNAIDay #AIDay #AgentDay

🚀 Announcing the Kubernetes AI Summit with Kubeflow @ KubeCon Europe 2026! We're excited to share that Kubeflow Summit is merging with Cloud Native AI Day for KubeCon Europe 2026! 📅 Date: March 23, 2026 📍 Location: Amsterdam, The Netherlands 🎟️ Tickets & Event Info: https://lnkd.in/dUmcBMTJ 📝 Submit To Speak: https://lnkd.in/dXbQiwCs  (Submissions are being accepted through Sunday, 2 November 2025) AI is advancing at an unprecedented pace. From Large Language Models and Graph RAGs to frameworks for ethical and responsible innovation. At the heart of this evolution is Kubeflow, enabling data scientists, ML engineers, and AI practitioners to build, deploy, and scale AI/ML workloads in the cloud-native ecosystem. This summit brings together the Kubeflow community, MLOps professionals, and AI enthusiasts to explore real-world patterns, cutting-edge tools, and production-ready solutions. Whether you're new to AI or an experienced practitioner, you'll gain valuable insights, hands-on knowledge, and connections that will shape the future of AI in the cloud-native world. #Kubeflow #K8sAISummit #CNCF #KubeCon #CloudNativeCon

Calling ALL open source contributors, data/ML engineers, and curious community builders! Help us shape the future of big data and machine learning on Kubernetes. The Kubeflow SDK team is actively building deep integration for Apache Spark. Our goal: to enable data scientists and ML engineers to run, monitor, and optimize Spark jobs seamlessly from Python APIs, notebooks, and Kubeflow pipelines—abstracting the complexities of Kubernetes and cluster management. https://lnkd.in/gHR62Dut https://lnkd.in/gKZ4z87q #Kubeflow #Spark #OpenSource #Community #MLengineering #PythonSDK #Kubernetes #CNCF

🚀 Spotlight on Kubeflow Summit North America 2025 ⚡ Lightning Talk: Cloud Native Kubeflow Notebooks and Spark Using Kubeflow Spark Operator Kubeflow Notebooks now support native integration with Apache Spark through the Kubeflow Spark Operator . Enabling users to run distributed Spark workloads directly from their notebooks. In this lightning talk, Fellipe Barros will demonstrate how to launch notebooks with a Spark kernel and run analytical workloads seamlessly through the Kubeflow Spark Operator. 📍 Atlanta, Georgia 🗓️ November 10, 2025 Join us in Atlanta to learn, collaborate, and grow with the Kubeflow community. #KFSummit #KubeCon #CloudNativeCon #Kubeflow #ApacheSpark #MLOps

🚀 Spotlight on Kubeflow Summit North America 2025 ⚡ Lightning Talk: Streamlining MLOps Pipelines with Kubeflow on Arm64 Locally Can you run Kubeflow in a box and still do meaningful AI work? In this lightning talk, Jeffery Tu from Ampere Computing shares a case study on deploying and running Kubeflow on a single Arm64 host with up to 192 CPU cores. Learn how Kubeflow's modularity, scalability, and portability enable powerful AI pipelines and model serving even without large GPUs or cloud infrastructure. 📍 Atlanta, Georgia 🗓️ November 10, 2025 Join us in Atlanta to learn, collaborate, and grow with the Kubeflow community. #KFSummit #KubeCon #CloudNativeCon #Kubeflow #Arm64 #MLOps

🚀 Deep Dive: Kubeflow Summit at KubeCon + CloudNativeCon North America 2025! From LLM fine-tuning to AI/ML security, this year's Kubeflow Summit brings together engineers, data scientists, researchers, and community contributors to explore how organizations scale AI/ML on Kubernetes. As Kubeflow moves toward CNCF Graduation, 2025 marks a pivotal moment for collaboration, innovation, and the future of cloud-native AI. https://lnkd.in/dtXwE_8F #Kubeflow #KubeCon #CNCF #MLOps #CloudNativeAI #KFSummit

💬 Kubeflow Community Call Update Now that the CNCF Graduation application has been completed, we will be adjusting the focus of our Tuesday Community Call. 🕒 Going forward, we will spend the first 20-30 minutes on graduation updates and follow-ups. 💡 The rest of the call will return to community topics, discussions, project updates, and collaboration across Kubeflow. We encourage everyone to join, share knowledge, and take part in the ongoing community discussions. 📅 Community Calendar and Meetings Information about the Kubeflow Community Call and all Working Group meetings can be found here: https://lnkd.in/eWNut2B4 #Kubeflow #MLOps #AIOps #OpenSource #CNCF #Community

🚀 Spotlight on Kubeflow Summit North America 2025 🎤 Streamline LLM Fine-Tuning on Kubernetes with Kubeflow LLM Trainer Fine-tuning large language models on Kubernetes can be complex, from managing configurations to handling diverse fine-tuning and distributed strategies. In this session, Andrey Velichkevich and Shao Wang introduce #Kubeflow LLM Trainer, a powerful tool designed to simplify and scale LLM fine-tuning on #Kubernetes. 📍 Atlanta, Georgia 🗓️ November 10, 2025 Join us in Atlanta to learn, collaborate, and grow with the Kubeflow community. #KFSummit #KubeCon #CloudNativeCon

🚀 Spotlight on Kubeflow Summit North America 2025 🎤 From Edge to Insight: Cybersecurity Intelligence with #Kubeflow, #VLLM, #GraphRAG As cyber threats grow across cloud and edge, adaptive AI is essential. This session introduces a federated, security-centric architecture built on Kubeflow that enables detection, intelligent recommendations, and automated policy updates. Speakers Zeyno Dodd and Mustafa Dayıoğlu will share how this approach empowers security and DevSecOps teams to build self-improving, compliance aligned AI defenses for high-stakes environments like healthcare, OT, and critical infrastructure. 📍 Atlanta, Georgia 🗓️ November 10, 2025 #KFSummit #KubeCon #CloudNativeCon

I am happy to share that Kueue v0.14.0 is now live 🚀 This release introduces native integration with Kubeflow Trainer APIs - a big step toward seamless support for distributed AI workloads on Kubernetes. With this update, you can now use Kueue’s capabilities like fair sharing, topology-aware scheduling, and multi-cluster job dispatching directly with TrainJobs. Huge thanks to the Kueue and Kubeflow Trainer maintainers for their incredible work, and a special shoutout to Tomás Tormo Franco for leading this effort! Release Notes: https://lnkd.in/ej2hhUfs