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Sep 1, 2025
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sagemaker:doc for tgi optimum neuron dlc #1867

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2 changes: 1 addition & 1 deletion docs/sagemaker/source/dlcs/available.md
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Expand Up @@ -40,7 +40,7 @@
| Container URI | Accelerator |
| -------------------------------------------------------------------------------------------------------------------------------- | ----------- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.7.0-tgi3.3.4-gpu-py311-cu124-ubuntu22.04 | GPU |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.1.2-optimum0.0.28-neuronx-py310-ubuntu22.04 | Neuron |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.5.1-optimum3.3.4-neuronx-py310-ubuntu22.04 | Neuron |

### Text Embedding Inference

Expand All @@ -63,7 +63,7 @@

**How to find the URI of my container?**

The URI is built with an AWS account ID and an AWS region. Those two values need to be replaced depending on your use case.

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Found unverified Github result 🐷🔑
Let's say you want to use the training DLC for GPUs in
- `dlc-aws-account-id`: The AWS account ID of the account that owns the ECR repository. You can find them in the [here](https://github.com/aws/sagemaker-python-sdk/blob/e0b9d38e1e3b48647a02af23c4be54980e53dc61/src/sagemaker/image_uri_config/huggingface.json#L21)
- `region`: The AWS region where you want to use it.
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