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Virtual Event
May 4 - May 7
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Thursday, May 6 • 11:35 - 12:10
Building and Managing a Centralized ML Platform with Kubeflow at CERN - Ricardo Rocha & Dejan Golubovic, CERN

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CERN’s main mission is to expand human knowledge trying to understand the nature of the universe, and machine learning has been growing as a solution for challenges in different areas of development and operations. Areas where ML is being looked at include particle classification using graph neural networks during reconstruction, 3DGANs for much faster generation of simulation data, or reinforced learning for beam calibration. This session presents a recently introduced centralized service covering most use cases, handling data preparation, model training and serving. How it tries to improve resource usage (especially important when handling scarce resources such as accelerators) by offering different resource types (GPU, vGPU, TPU) for each use case. The session will also describe our journey with Kubeflow, the machine learning platform running on top of Kubernetes, and how we integrated on-premises resources and the different possibilities being looked at to extend to public clouds.

Speakers
avatar for Ricardo Rocha

Ricardo Rocha

Computing Engineer, CERN
Ricardo is a Computing Engineer in the CERN cloud team focusing on containerized deployments, networking and more recently machine learning platforms. He has pushed for several years the internal effort to transition services and workloads to use cloud native technologies, as well... Read More →
avatar for Dejan Golubovic

Dejan Golubovic

Software Engineer, CERN
Dejan Golubovic is a CERN software engineer with experience in machine learning. His interests are containerized applications, Python programming and large-scale distributed systems. Dejan is currently working on machine learning infrastructure with Kubernetes and Kubeflow at CERN... Read More →



Thursday May 6, 2021 11:35 - 12:10 CEST
ML Theater
  Machine Learning + Data