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Kubernetes and MLOps for Scalable and Reproducible Generative AI

Protagonista: Annie Talvasto
Año: 2024
País: México
Género: Drama
Track: Data Science / Ai
Idioma: Inglés

Combining the power of Kubernetes and MLOps brings scalability, reliability, and reproducibility to generative AI workflows. In this session, we will explore how Kubernetes enables the orchestration of distributed generative AI training and inference pipelines, while MLOps practices ensure efficient model development, deployment, and monitoring. Join us to discover how this combination empowers organizations to unlock the full potential of generative AI.

data-science-ai

Kubernetes and MLOps for Scalable and Reproducible Generative AI

Sobre Annie Talvasto

Annie Talvasto

Product Marketing & Community at Upbound - CNCF Ambassador, Azure MVP

Annie Talvasto is an award-winning international technology speaker and leader. She has spoken at over 100+ tech events worldwide, including KubeCon + CloudNativeCon and Microsoft Build & Ignite. She has been recognized with the CNCF Ambassador, Azure & AI Platform MVP awards. She has co-organized the Kubernetes & CNCF Finland meetup since 2017. In the past, she has also served as a track chair for KubeCon + CloudNativeCon, Program Chair for Secure AI Summit (powered by Cloud Native) and hosted Cloud Native Live, a weekly livestream by CNCF, for over 3 years.

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