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This article introduces Tensor R-Fork, a method for quickly loading model weights in SGLang instances using GPU-Direct RDMA. It significantly reduces loading times and storage requirements while allowing uninterrupted inference services. The article details the implementation using two backends: NCCL and TransferEngine.