diff --git a/spacy/cli/train_from_config.py b/spacy/cli/train_from_config.py
index dc8e8fba2..8f4c25cd4 100644
--- a/spacy/cli/train_from_config.py
+++ b/spacy/cli/train_from_config.py
@@ -128,6 +128,9 @@ class ConfigSchema(BaseModel):
     use_gpu=("Use GPU", "option", "g", int),
     num_workers=("Parallel Workers", "option", "j", int),
     strategy=("Distributed training strategy (requires spacy_ray)", "option", "strat", str),
+    ray_address=(
+        "Address of Ray cluster. Only required for multi-node training (requires spacy_ray)",
+        "option", "address", str),
     tag_map_path=("Location of JSON-formatted tag map", "option", "tm", Path),
     omit_extra_lookups=("Don't include extra lookups in model", "flag", "OEL", bool),
     # fmt: on
@@ -143,6 +146,7 @@ def train_cli(
     use_gpu=-1,
     num_workers=1,
     strategy="allreduce",
+    ray_address=None,
     tag_map_path=None,
     omit_extra_lookups=False,
 ):
@@ -200,7 +204,7 @@ def train_cli(
             from spacy_ray import distributed_setup_and_train
         except ImportError:
             msg.fail("Need to `pip install spacy_ray` to use distributed training!", exits=1)
-        distributed_setup_and_train(use_gpu, num_workers, strategy, train_args)
+        distributed_setup_and_train(use_gpu, num_workers, strategy, ray_address, train_args)
     else:
         if use_gpu >= 0:
             msg.info(f"Using GPU: {use_gpu}")