[Sglang] Update P2P RDMA weight sync with flashinfer compatibility and NIC affinity#22468
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wduan-hai wants to merge 1 commit intosgl-project:mainfrom
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[Sglang] Update P2P RDMA weight sync with flashinfer compatibility and NIC affinity#22468wduan-hai wants to merge 1 commit intosgl-project:mainfrom
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JD-ETH
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Apr 14, 2026
…ffinity Enables specifying IB devices for P2P RDMA weight transfer via Mooncake TransferEngine. Supports single device, comma-separated list, JSON per-GPU mapping, or JSON file path. This allows each GPU to use its nearest NIC, reducing per-HCA memory registration pressure. Cherry-picked from sgl-project#22468 (NIC affinity parts only). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Motivation
Update P2P RDMA weight sync with flashinfer compatibility and NIC affinity. This works in tandem with radixark/miles#964 and is miles 964's dependency.
Modifications
NIC affinity: we allow a manual json flag --remote-instance-weight-loader-ib-device to be passed from miles to sglang, so each GPU can find its NIC during the P2P RDMA weight sync.
Flashinfer compatibility: The P2P RDMA sync is 3 steps, first pre process, then weight transfer, and then post process. We add a trigger in pre process such that the 4D tensor of gate_up is transformed to the 3D format before the weight transfer, to be consistent with the format from the miles side. After the weight transfer, the post process will shape it back. Without the reshape in pre processing, the check equality fails.
Accuracy Tests
Tested on 4 node with Qwen3-30B-A3B, 16 node with Qwen3-235B-A22B over RoCE.
Speed Tests and Profiling
Checklist
Review and Merge Process
/tag-and-rerun-ci,/tag-run-ci-label,/rerun-failed-ci