We provide pre-built Optimum Neuron containers for Amazon SageMaker. These containers come with all of the Hugging Face libraries and dependencies pre-installed, so you can start using them right away. We have containers for training and inference, and optimized text generation containers with TGI. The table is up to date and only includes the latest versions of each container. You can find older versions in the Deep Learning Container Release Notes
We include the function image_uri to retrieve the image URI for the container you want to use. The result is the same as the one retrieved by the sagemaker Python SDK, but the image URI retrieved can be newer than the one reported by the sagemaker Python SDK.
from optimum.neuron.utils import ecr
# retrieve the llm image uri
llm_image = ecr.image_uri("tgi")
print(f"llm image uri: {llm_image}")
| Type | Optimum Version | Image URI |
|---|---|---|
| Training | 0.0.25 | 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training-neuronx:2.1.2-transformers4.48.1-neuronx-py310-sdk2.20.0-ubuntu20.04 |
| Inference | 0.0.25 | 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference-neuronx:2.1.2-transformers4.43.2-neuronx-py310-sdk2.20.0-ubuntu20.04 |
| Text Generation Inference | 0.2.0 | 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-tgi-inference:2.5.1-optimum3.3.4-neuronx-py310-ubuntu22.04 |
Please replace 763104351884 with the correct AWS account ID and region with the AWS region you are working in.