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28-29, August 2025
Amsterdam, Netherlands
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday August 28, 2025 11:50 - 12:15 CEST
As the scale of AI models and training datasets grows, so does the complexity of efficiently feeding data into GPU-accelerated training workloads. Traditional I/O stacks are becoming a bottleneck—especially in cloud native environments—where elasticity and performance must go hand in hand. This talk introduces an open-source, Arrow-based data cache for distributed training workloads on Kubernetes and tabular datasets stored as Apache Iceberg tables.
Speakers
avatar for Ricardo Aravena

Ricardo Aravena

Software Engineer, Snowflake
Ricardo is making daily impactful contributions as an AI Infrastructure Lead at Snowflake. He's passionate about open source in various roles, such as co-chairing the CNCF TAG-Runtime and leading the Cloud Native AI Working Group. With over 25 years of experience in the tech industry... Read More →
avatar for Andrey Velichkevich

Andrey Velichkevich

Software Engineer, Apple
Andrey Velichkevich is a Senior Software Engineer at Apple and is a key contributor to the Kubeflow open-source project. He is a member of Kubeflow Steering Committee and a co-chair of Kubeflow AutoML and Training WG. Additionally, Andrey is an active member of the CNCF WG AI. He... Read More →
Thursday August 28, 2025 11:50 - 12:15 CEST
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