Engineering Practices for Large-Scale Deep Learning Models in Meituan Takeaway Advertising
The article details Meituan's engineering journey from small DNNs to hundred‑gigabyte deep learning models for food‑delivery ads, analyzing online latency and offline efficiency challenges and presenting distributed storage, CPU/GPU acceleration, OpenVINO, TensorRT, CodeGen, and data‑pipeline optimizations that dramatically improve throughput, memory usage, and sample‑building speed.
