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docs: Link HSTU AOTI example from PyTorch backend README (#201) #202

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mc-nv merged 1 commit into from
Jul 23, 2026
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docs: Link HSTU AOTI example from PyTorch backend README (#201) #202

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13 changes: 13 additions & 0 deletions README.md
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Expand Up @@ -378,6 +378,19 @@ export `triton_pytorch_model_init`, model load fails with an error.
> trust boundary, but the model repository must remain a trusted,
> operator-controlled source.

### HSTU (Generative Recommenders)

HSTU (Hierarchical Sequential Transduction Unit) is the sequence encoder used
in Generative Recommenders (GRs), which reframe recommendation as a sequential,
generative modeling problem over a user's interaction history rather than
independently scoring candidate items.

HSTU generative recommender models can be served with
`platform: "torch_aoti"`. For an end-to-end guide, see the
[HSTU tutorial](https://github.com/triton-inference-server/tutorials/tree/main/Popular_Models_Guide/HSTU)
and the
[recsys-examples HSTU inference docs](https://github.com/NVIDIA/recsys-examples/blob/main/examples/hstu/inference/README.md).

### PyTorch 2.0 Models

PyTorch 2.0 features are available.
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