Andrey Velichkevich
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where they keep going back
- Kubeflow Summit Europe2 editions2024–2025
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who talks about the same things
- Johnu George11 talks
- Valentina Rodriguez Sosa14 talks
- Josh Bottum3 talks
- Jeremy Lewi7 talks
- Yuan Tang23 talks
- Akshay Chitneni4 talks
| title | conference | date |
|---|---|---|
| Streamline LLM Fine-tuning on Kubernetes With Kubeflow LLM Trainer | Kubeflow Summit NA 2025 | 2025-11-10 |
Kubeflow LLM Trainer provides a Kubernetes-native fine-tuning pipeline that hides YAML and Docker chores behind TrainingRuntime CRD and lightweight TrainJob… | ||
| Closing Remarks | Kubeflow Summit Europe 2025 | 2025-04-01 |
Agenda highlights on the main KubeCon stage include Kubeflow Trainer API v2 details and maintenance-track updates, an active booth that needs volunteers —… | ||
| Welcome + Opening Remarks | Kubeflow Summit Europe 2025 | 2025-04-01 |
Kubeflow claims to be a Kubernetes-native AI/ML platform that is portable to any certified Kubernetes distribution and already covers the full ML lifecycle… | ||
| Engaging the Kubeflow Community: Building an Enterprise-Ready AI/ML Platform | Cloud Native + Kubernetes AI Day Europe 2025 | 2025-04-01 |
Kubeflow now stitches operators and tools like Knative, Istio, KServe, the Trainer operator, KFP pipelines, model-registry and Spark operator into a composable… | ||
| From High Performance Computing To AI Workloads on Kubernetes: MPI Runtime in Kubeflow TrainJob | KubeCon + CloudNativeCon Europe 2025 | 2025-04-01 |
Kubeflow TrainJob integrates an MPI runtime that runs MLX and DeepSpeed workloads on Kubernetes, exposing a Python Qflow SDK so data scientists call one… | ||
| Kubeflow Ecosystem: What’s Next for Cloud Native AI/ML and LLMOps | KubeCon + CloudNativeCon Europe 2025 | 2025-04-01 |
Kubeflow announces the 1.0 release and stitches concrete LLMOps pieces: a donated Spark Operator now in the ecosystem with a benchmark of 60,000 Spark apps… | ||
| AutoML & Training Working Group Updates | Kubeflow Summit Europe 2024 | 2024-03-19 |
Roadmap items: Katib targets V1 API graduation, advanced parameter distributions like log-uniform, and native LLM hyperparameter tuning; Training Operator adds… | ||
| Managing Thousands of Automatic Machine Learning Experiments with... | ArgoCon 2022 | 2022-09-19 |
Katib plus Argo Workflows runs hyperparameter tuning where each trial can spawn a full Argo workflow, letting preprocessing be cached and skipped via Argo… | ||
| Building AutoML Pipelines With Argo Workflows and Katib | Kubernetes AI Day Europe 2022 | 2022-05-16 |
Shows a concrete Katib+Argo setup that runs each Katib trial as an Argo Workflow, with the trial template carrying a full Argo YAML, the metrics collector… | ||
| Case Study: Developing and Scaling Kubeflow’s Web Apps | Kubernetes AI Day North America 2021 | 2021-10-12 |
Kubeflow maintains at least five web apps (Notebooks, PVCs, Tensorboards, Models, AutoML experiments) that perform CRUD on K8s objects and scale by adding… | ||
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