diff --git a/src/c_api/c_api.cu b/src/c_api/c_api.cu
index 3fc772064..15ab10a6b 100644
--- a/src/c_api/c_api.cu
+++ b/src/c_api/c_api.cu
@@ -37,7 +37,7 @@ void XGBBuildInfoDevice(Json *p_info) {
 #elif defined(XGBOOST_USE_RCCL)
   info["USE_RCCL"] = Boolean{true};
   v = {Json{Integer{NCCL_MAJOR}}, Json{Integer{NCCL_MINOR}}, Json{Integer{NCCL_PATCH}}};
-  info["NCCL_VERSION"] = v;
+  info["RCCL_VERSION"] = v;
 #else
   info["USE_NCCL"] = Boolean{false};
   info["USE_RCCL"] = Boolean{false};
diff --git a/src/common/device_helpers.hip.h b/src/common/device_helpers.hip.h
index b579bc5ac..10cddbaf8 100644
--- a/src/common/device_helpers.hip.h
+++ b/src/common/device_helpers.hip.h
@@ -110,7 +110,7 @@ inline ncclResult_t ThrowOnNcclError(ncclResult_t code, const char *file, int li
       ss << "  CUDA error: " << thrust::system_error(err, thrust::cuda_category()).what() << "\n";
     } else if (code == ncclSystemError) {
       ss << "  This might be caused by a network configuration issue. Please consider specifying "
-            "the network interface for NCCL via environment variables listed in its reference: "
+            "the network interface for RCCL via environment variables listed in its reference: "
             "`https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/env.html`.\n";
     }
     LOG(FATAL) << ss.str();