~/talk

Fast and Furious: Practice in Horizon Robotics on Large-scale End-to-end Model Training

links:none on file
name:Zhihao Xu
links:none on file
slides:none on file

Horizon Robotics and Alibaba Cloud describe how they run end-to-end large-model training for autonomous driving on Kubernetes, focusing on training Sparse4D-like perception models across a 2000-GPU RDMA cluster. They explain practical solutions for handling massive video data and many small files (distributed data caching), making scheduling decisions with network-topology awareness and job affinity, detecting and diagnosing failures, and restoring interrupted jobs via backup-machine replacement. The talk also shares operational experience using CNCF projects Volcano, Fluid, and NPD.

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