Tensor Processing Units (TPU) are AI accelerator made by Google to optimize performance and cost from AI training to inference.
This repository exposes an interface similar to what Hugging Face transformers library provides to interact with a magnitude of models developed by research labs, institutions and the community.
We aim at providing our user the best possible performances targeting Google Cloud TPUs for both training and inference working closely with Google and Google Cloud to make this a reality.
We currently support a few LLM models targeting text generation scenarios:
- Gemma (2b)
- Llama (8b)
- Mistral (soon)
optimum-tpu comes with an handy PyPi released package compatible with your classical python dependency management tool.
pip install optimum-tpu -f https://storage.googleapis.com/libtpu-releases/index.html
optimum-tpu provides a set of dedicated tools and integrations in order to leverage Cloud TPUs for inference, especially
on the latest TPU version v5e.
Other TPU versions will be supported along the way.
As part of the integration, we do support a text-generation-inference (TGI) backend allowing to deploy and serve incoming HTTP requests and execute them on Cloud TPUs.
Please see the TGI specific documentation on how to get started
Journey just started, we are working hard on this; stay tuned! ⚒️
