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May 10-12, 2023
Vancouver, British Columbia, Canada + Virtual
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Thursday, May 11 • 4:05pm - 4:45pm
Object Storage Driven Machine Language Workloads - Daniel Valdivia, MinIO

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As a result of the rapid implementation of Machine Learning (ML) technologies, the industry is undergoing a major shift towards AI-first architectures that leverage object storage. Current best practice is for ML frameworks such as Tensorflow and Kubeflow to rely on the de facto standard of the S3 API to interact with models, data and artifacts stored within object storage. By doing so they unlock the massive scalability and high performance of object storage coupled with immutability and sophisticated object lifecycle features. Models and data can be tiered across Kubernetes-native object storage classes and replicated between datacenters, the edge and clouds so everyone is working with the most up-to-date models and data. In this talk, I will provide an overview of object storage for ML, and then demonstrate deploying open source MinIO and Tensorflow on Kubernetes. You will learn to build and operate a secure data pipeline and automate ML testing and operations.
Speakers
avatar for Daniel Valdivia

Daniel Valdivia

Engineer, MinIO
Daniel Valdivia is an engineer with MinIO where he focuses on Kubernetes, ML/AI and VMware. Prior to joining MinIO, Daniel was the Head of Machine Learning for Espressive. Daniel has held senior application development roles with ServiceNow, Oracle and Freescale. Daniel holds a Bachelor... Read More →

Writing Machine Learning Pipelines Against Object Storage pdf
Thursday May 11, 2023 4:05pm - 4:45pm PDT
206 (Level 2)
  Open AI & Data Forum, Data
  • Audience Level Any
  • Session Slides Attached Yes