算力商业
developer.nvidia.com ·
@Tanya Lenz
使用 NVIDIA Dynamo-Triton 部署 HSTU 生成式推荐系统
NVIDIA 开发者博客介绍生成式推荐（GR）系统这一大规模个性化新方向：不再将推荐拆分为检索、排序、预测等孤立阶段，而是把用户行为序列建模为高基数事件流上的 token 序列，并演示如何用 NVIDIA Dynamo-Triton 部署 HSTU 生成式推荐模型。
AI推荐理由 NVIDIA 开发者博客介绍用 Dynamo-Triton 部署 HSTU 生成式推荐系统，属于官方工程实践内容，涉及生成式推荐这一较新方向及推理部署工具链，对推荐系统与推理服务开发者有参考价值；但正文片段仅给出概念性描述，缺少具体性能数据、配置细节和实测结果，信息密度有限。
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Generative recommender (GR) systems are emerging as a powerful new direction for large-scale personalization. Instead of treating recommendation as a set of...
Generative recommender (GR) systems are emerging as a powerful new direction 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…
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