--- 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. |