--- title: "R-Fork" metatags: description: "SGLang R-Fork: zero-copy GPU-to-GPU weight loading, reduce boot-up time from minutes to seconds. NCCL and TransferEngine backends." --- R-Fork (Tensor Remote Fork) is a novel weight loading methodology that leverages efficient inter-node GPU-to-GPU data transfer path to load tensors from a running SGLang instance to a new instance with zero-copy. It can significantly optimize the SGLang instance boot-up time by reducing model weights loading from several minutes to mere seconds. To learn more details about R-Fork, please check **[R-Fork blog](https://lmsys.org/blog/2025-12-10-rfork/)** ## Usage
Argument Usage
load-format set to `remote_instance` to enable R-Fork.
remote-instance-weight-loader-backend `nccl` or `transfer_engine`, default value is `nccl`
remote-instance-weight-loader-seed-instance-ip IP address of the seed instance who will provide the model weight
remote-instance-weight-loader-seed-instance-service-port the port that the seed instance's HTTP server is listening on
remote-instance-weight-loader-send-weights-group-ports the list of available ports on the seed instance that will be used to build NCCL communication groups between seed and client instance. This argument is only needed by `nccl` backend.
remote-instance-weight-loader-start-seed-via-transfer-engine set to start seed service that supports TransferEngine as backend. It is needed for seed instances when using `transfer_engine` as backend.
### NCCL as backend seed instance: ```shell Command python -m sglang.launch_server [args] ``` client instance: ```shell Command python -m sglang.launch_server [args] \ --load-format remote_instance \ --remote-instance-weight-loader-seed-instance-ip [seed_instance_ip] \ --remote-instance-weight-loader-seed-instance-service-port [seed_instance_service_port] \ --remote-instance-weight-loader-send-weights-group-ports [send_weights_nccl_group_ports_list] \ --remote-instance-weight-loader-backend nccl ``` ### TransferEngine as backend seed instance: ```shell Command python -m sglang.launch_server [args] \ --remote-instance-weight-loader-start-seed-via-transfer-engine ``` ```shell Command python -m sglang.launch_server [args] \ --load-format remote_instance \ --remote-instance-weight-loader-seed-instance-ip [seed_instance_ip] \ --remote-instance-weight-loader-seed-instance-service-port [seed_instance_service_port] \ --remote-instance-weight-loader-backend transfer_engine ```