用 NVIDIA Dynamo-Triton 部署 HSTU 生成式推荐系统
Deploying an HSTU Generative Recommender with NVIDIA Dynamo-Triton
面向大规模个性化场景的生成式推荐系统（GR）把推荐重构为对用户行为的序列建模，用户的交互、上下文、候选物品和动作都被当作高基数事件流中的 token。NVIDIA 介绍如何用 Dynamo-Triton 部署 HSTU 生成式推荐模型。
Generative recommender (GR) systems are emerging as a powerful new approach for large-scale personalization. Instead of treating recommendation as a set of...
Generative recommender (GR) systems are emerging as a powerful new approach for large-scale personalization. Instead of treating recommendation as a set of isolated retrieval, ranking, and prediction stages, GRs reformulate recommendation as sequence modeling over user behavior. A user’s interactions, context, candidate items, and actions become tokens in a high-cardinality event stream…
来源：NVIDIA Developer Blog · developer.nvidia.com