# Amazon announces SOCI-indexed images to speed SageMaker jobs

Digest AI · Enterprise & Industry · published 2026-10-27T17:00:39Z

Canonical: https://digestai.news/story/amazon-announces-soci-indexed-images-to-speed-sagemaker-jobs

## Summary

Amazon has introduced Seekable OCI (SOCI) indexing for its SageMaker AI training and processing jobs. The feature lets SageMaker lazy‑load container images, fetching only the files needed to start the container and streaming the rest in the background. This removes the full image download from the critical path, allowing jobs to begin in seconds instead of minutes.

GPU idle time during image pulls dropped by up to 90 %.

To adopt SOCI indexing, users can switch to pre‑indexed AWS Deep Learning Containers that carry a –soci suffix, or build an index for a custom image using the SOCI snapshotter. No changes to job definitions or data pipelines are required, and the feature is available in all AWS regions.

## Key points

- SOCI indexing cuts SageMaker image download time from minutes to seconds
- Adoption requires only a –soci image tag or a custom SOCI index

## Why it matters

SOCI indexing lowers training costs and speeds up experimentation for ML teams, enabling faster iteration cycles and more efficient use of cloud compute resources.

## Sources

1. [Announcing SOCI-indexed images for faster SageMaker AI jobs](https://aws.amazon.com/blogs/machine-learning/announcing-soci-indexed-images-for-faster-sagemaker-ai-jobs) (AWS Machine Learning Blog, 2026-10-27, primary source)

## Cite

Digest AI, "Amazon announces SOCI-indexed images to speed SageMaker jobs", 27 October 2026, https://digestai.news/story/amazon-announces-soci-indexed-images-to-speed-sagemaker-jobs

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