Hugging Face and Amazon Web Services announced an expanded partnership on 21 February, aiming to make generative AI easier to build and run. Hugging Face will use AWS as a preferred cloud provider and SageMaker to develop new models.
Composition: Sulat. Logos: Hugging Face and AWS.
AWS points developers to SageMaker JumpStart, Hugging Face Deep Learning Containers and tutorials for its Trainium and Inferentia chips. The companies describe lower costs as a goal. The announcement supplies no independent comparison.
The relationship predates this generative AI expansion. In March 2021, Hugging Face introduced containers for training Transformer models in SageMaker, alongside an extension to the service’s Python SDK. That integration let teams use managed training infrastructure without assembling the entire software environment themselves. The containers supported both PyTorch and TensorFlow, including distributed training. Today’s announcement builds on that existing route from a model library into a cloud workload.
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