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JD Tech
JD Tech
Jan 31, 2026 · Artificial Intelligence

How JD's 9N‑LLM Engine Powers Scalable Generative Recommendation at Massive Scale

This article details JD Retail's 9N‑LLM unified training framework that tackles the massive data, hardware heterogeneity, and algorithmic challenges of generative recommendation by integrating TensorFlow and PyTorch, supporting GPU/NPU, and delivering high‑throughput sample processing, sparse/dense optimization, and flexible reinforcement‑learning capabilities.

GPU/NPULarge-Scale AIRay
0 likes · 26 min read
How JD's 9N‑LLM Engine Powers Scalable Generative Recommendation at Massive Scale
DataFunSummit
DataFunSummit
Sep 11, 2025 · Artificial Intelligence

How Meituan’s MTGR is Redefining Generative Recommendation at Scale

This article explains why Meituan introduced a generative recommendation model, describes the MTGR architecture, data organization, training and inference engines built on TorchRec and TensorRT, reports performance gains and cost reductions, and outlines future directions such as simplifying the recommendation funnel and cross‑business heterogeneous modeling.

Generative RecommendationMTGRScaling Law
0 likes · 15 min read
How Meituan’s MTGR is Redefining Generative Recommendation at Scale