diff --git a/examples/contrib/cifar10/README.md b/examples/contrib/cifar10/README.md
index afee90d4f82..9688f90970a 100644
--- a/examples/contrib/cifar10/README.md
+++ b/examples/contrib/cifar10/README.md
@@ -131,4 +131,14 @@ python -u -m torch.distributed.launch --nproc_per_node=2 --use_env main.py run -
     --resume-from=/tmp/output-cifar10/resnet18_backend-nccl-2_stop-on-1000/training_checkpoint_1000.pt
 ```
 
-Similar commands can be adapted for other cases.
\ No newline at end of file
+Similar commands can be adapted for other cases.
+
+## Trains fileserver
+
+If `Trains` server is used (i.e. `--with_trains` argument), the configuration to upload artifact must be done by 
+modifying the `Trains` configuration file `~/trains.config` generated by `trains-init`. According to the
+[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be 
+configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
+`http://localhost:8081`.
+
+For more details, see https://allegro.ai/docs/examples/reporting/artifacts/
\ No newline at end of file
diff --git a/examples/references/classification/imagenet/NOTES_Trains.md b/examples/references/classification/imagenet/NOTES_Trains.md
index 073bffe0d5e..2c6e88ccf14 100644
--- a/examples/references/classification/imagenet/NOTES_Trains.md
+++ b/examples/references/classification/imagenet/NOTES_Trains.md
@@ -67,6 +67,16 @@ export TRAINS_OUTPUT_PATH=/path/to/output/trains
 
 This environment variable helps to choose Trains as experiment tracking system among all others.
 
+### Trains fileserver setup
+
+The configuration to upload artifact must be done by modifying the `trains` configuration file `~/trains.config` 
+generated by `trains-init`. According to the
+[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be 
+configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
+`http://localhost:8081`.
+
+For more details, see https://allegro.ai/docs/examples/reporting/artifacts/
+
 ### Run the code
 
 #### Training on single node and single GPU
diff --git a/examples/references/segmentation/pascal_voc2012/NOTES_Trains.md b/examples/references/segmentation/pascal_voc2012/NOTES_Trains.md
index 7253738b070..bf2861dfab8 100644
--- a/examples/references/segmentation/pascal_voc2012/NOTES_Trains.md
+++ b/examples/references/segmentation/pascal_voc2012/NOTES_Trains.md
@@ -85,6 +85,16 @@ export TRAINS_OUTPUT_PATH=/path/to/output/trains
 
 This environment variable helps to choose Trains as experiment tracking system among all others.
 
+### Trains fileserver setup
+
+The configuration to upload artifact must be done by modifying the `trains` configuration file `~/trains.config` 
+generated by `trains-init`. According to the
+[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be 
+configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
+`http://localhost:8081`.
+
+For more details, see https://allegro.ai/docs/examples/reporting/artifacts/
+
 ### Run the code
 
 #### Training on single node and single GPU