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In-person
August 27
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The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeDay Japan 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Japan Standard Time (UTC +9). To see the schedule in your preferred timezone. The schedule is subject to change.
Tuesday August 27, 2024 2:15pm - 2:45pm JST
Unlock the power of deploying Large Language Models (LLMs) in Kubernetes using KFServing with this insightful 30-minute presentation. We'll guide you through the seamless integration of LLMs into cloud-native ecosystems, leveraging Kubernetes' scalability and KFServing's model serving capabilities. Discover best practices for deploying, managing, and optimizing LLMs in a Kubernetes environment, ensuring efficient resource utilization and high-performance inference. This session is ideal for AI practitioners and cloud engineers looking to elevate their deployment strategies in the rapidly evolving field of AI.
Speakers
avatar for Irvi Aini

Irvi Aini

Senior Software Engineer, Mercari
She was instrumental in the Kubernetes Release Team for versions 1.17 and 1.18, and has held positions as Shadow Chair and Emeritus-Co-Chair for Kubernetes SIG Docs. Her contributions span Kubernetes, Planout and Ax (Facebook), Google Cloud Platform, and Google APIs. She's been a... Read More →
Tuesday August 27, 2024 2:15pm - 2:45pm JST
Beginner Room

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