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offline training

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vivo Internet Technology
vivo Internet Technology
Dec 13, 2023 · Artificial Intelligence

Practice of Multi-NIC Container Network Acceleration for Offline Training

The talk explains how Vivo leverages a Kubernetes‑based solution that combines Calico and RoCEv2 to migrate offline training workloads from single‑NIC to multi‑NIC, integrating loss‑less RDMA, planning topology and IP allocation, and employing Volcano, SpiderPool, Macvlan, and Multus CNI for efficient container networking.

Cloud NativeContainer NetworkingKubernetes
0 likes · 4 min read
Practice of Multi-NIC Container Network Acceleration for Offline Training
Bilibili Tech
Bilibili Tech
Jun 27, 2023 · Artificial Intelligence

Design and Implementation of a Real-Time Advertising Feature Platform for CTR Prediction at Bilibili

To eliminate data fragmentation, feature inconsistencies, and multi‑language implementation challenges, Bilibili built a unified real‑time advertising feature platform that aligns offline, hourly, and online pipelines via a shared C++ library and JNI, boosting CTR prediction accuracy, cutting training costs, and increasing ad revenue by over 1 %.

CTR predictionFlinkadvertising
0 likes · 11 min read
Design and Implementation of a Real-Time Advertising Feature Platform for CTR Prediction at Bilibili
Architecture Digest
Architecture Digest
Apr 9, 2017 · Artificial Intelligence

Migrating Youku Tudou Video Recommendation System from Offline to Online Sorting

The article details how Youku Tudou redesigned its video recommendation architecture, moving ranking from offline to online processing, outlining the comparative architecture, benefits, challenges, feature handling, offline evaluation methods, and weight‑fusion techniques that enabled a successful launch after two months of development.

AB testingAUC evaluationFeature Engineering
0 likes · 7 min read
Migrating Youku Tudou Video Recommendation System from Offline to Online Sorting