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August 23-34, 2022 - Virtual
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Wednesday, August 24 • 1:15pm - 1:55pm
Deploying ML at Scale with Kubernetes and TFX - Rishit Dagli, Narayana Junior College; Incoming University of Toronto [Presented in English]

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There has been increasing popularity in the area of ML however deploying ML models at scale and being able to efficiently and consistently manage: serving model, infrastructure management, model versions, canary deployments, batch predictions, model metadata, monitoring data drifts, model routing, and A/B testing is a difficult task. I may say doing these steps correctly is more difficult than training a model for which a lot of literature is available. Enter Kubernetes and TensorFlow Extended. This talk will start off by giving some more clarity about the ML deployment steps as well as introduce TensorFlow Extended, an open-source tool that integrates quite well with Kubernetes and makes the deployment process consistent and easy. I also plan to talk about two more ideas in this talk: using Istio for model routing and A/B testing as well as showing the audience how they could best use their offloading pre-processing to server with Kubernetes. This would be followed by a demo.

Speakers
avatar for Rishit Dagli

Rishit Dagli

Student, Narayana Junior College; Incoming University of Toronto
I am a high school student from Mumbai, India. I love working with Machine Learning, especially Computer Vision and Kubernetes but you will also find me working with Android. I am an active contributor to multiple open-source projects like TensorFlow, KubeFlow, and Kubernetes. I also... Read More →



Wednesday August 24, 2022 1:15pm - 1:55pm EDT
ROOM 2
  Open AI & Data Forum