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In-person
1-4 April 2025
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Wednesday April 2, 2025 12:00 - 12:30 BST
In this presentation, we will introduce a novel approach to utilizing Kubernetes’ new Image Volumes for quickly and efficiently loading large language models and extensive datasets. We will explain how streaming loading and open-source technologies speed up mounting Open Container Initiative (OCI) artifacts without packaging existing object storage blobs. This ensures effective usage of storage space and faster loading times.

Packaging large models and petabyte-level datasets into OCI artifacts presents two challenges:

1. Converting existing datasets is time-consuming.
2. Pulling time and disk space usage are unacceptable.

Our approach eliminates the need to convert existing data and uses streaming loading technology to mount image volumes without pulling. It ensures high performance for accessing numerous small files and loading large models, making it practical for new and demanding scenarios.
Speakers
avatar for Yifan Yuan

Yifan Yuan

senior software engineer, AlibabaCloud
Yifan Yuan is a software engineer in the Alibaba Cloud storage team and is a major maintainer of containerd/overlaybd project. He has rich experience in improving the startup efficiency of containers and large-scale data distribution. Yifan has collaborated with companies such as... Read More →
avatar for Esteban Rey

Esteban Rey

Software Engineer II, Microsoft
Esteban Rey is a Software Engineer at Azure and a maintainer of the containerd/accelerated-container-image project. Over the past four years, he has played a key role in developing the Azure Container Registry, ensuring Open Container Initiative conformance, and integrating open-source... Read More →
Wednesday April 2, 2025 12:00 - 12:30 BST
Level 1 | Hall Entrance S10 | Room D
  Data Processing + Storage

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