# AWS introduces Ray Serve container for model inference

_Wednesday, September 9, 2026 at 11:51 AM EDT · AI · Latest · Tier 2 — Notable_

![AWS introduces Ray Serve container for model inference — Primary](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/09/08/ML-21647-featured-image.png)

AWS has introduced a Ray Serve Deep Learning Container for inference workloads, positioning it as a migration option for teams using unmaintained TorchServe. AWS says the image bundles PyTorch, Ray Serve, FastAPI, Uvicorn and GPU-stack dependencies in tested configurations, with separate images for EKS, EC2 and SageMaker. The company demonstrated the GPU image serving Qwen3-VL-2B on a single EKS g5.xlarge node with one NVIDIA A10G GPU. AWS says the containers receive security patches at build time.

## Sources

- [AWS Machine Learning Blog](https://aws.amazon.com/blogs/machine-learning/simplify-and-support-your-torchserve-workloads-using-ray-serve-deep-learning-containers/)

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Retrieved: 2026-09-09T19:28:59.943Z
Publisher: Tech & Business (techandbusiness.org)